{ "dataset": "labs", "updated": "2026-07-10", "entities": [ { "id": "nvidia-gear", "name": "GEAR (Generalist Embodied Agent Research)", "parent_org": "NVIDIA Corporation", "type": "corporate", "hq_country": "US", "region": "Americas", "city": null, "focus": [ "humanoid foundation models", "VLA", "world models", "sim2real", "generalist embodied agents" ], "flagship_en": "Released Isaac GR00T N1, the first open foundation model for generalist humanoid robot reasoning and skills, with weights published on Hugging Face.", "flagship_fr": "A publié Isaac GR00T N1, premier modèle de fondation ouvert pour le raisonnement et les compétences génériques des robots humanoïdes, avec des poids diffusés sur Hugging Face.", "key_people": [ "Jim Fan (Director of AI, Distinguished Scientist, co-lead de GEAR)", "Yuke Zhu (co-lead de GEAR, professeur UT Austin)" ], "open_outputs": "Poids d'Isaac GR00T-N1-2B (Hugging Face, licence NVIDIA Open Model), datasets NVIDIA Physical AI, code d'Eureka, Voyager, VIMA et MineDojo sur GitHub.", "notable_en": "GEAR's demos anchor NVIDIA's Physical AGI narrative at GTC keynotes; the group also produced Eureka, an LLM-driven reward design method, and the open-ended agent Voyager.", "notable_fr": "Les démonstrations de GEAR alimentent le récit de « Physical AGI » de NVIDIA lors des keynotes GTC ; l'équipe a aussi produit Eureka, une méthode de conception de récompenses pilotée par LLM, et l'agent en monde ouvert Voyager.", "sources": [ { "url": "https://research.nvidia.com/labs/gear/", "publisher": "NVIDIA Research", "date": "2026-07", "fields": [ "flagship_en", "focus" ] }, { "url": "https://nvidianews.nvidia.com/news/nvidia-isaac-gr00t-n1-open-humanoid-robot-foundation-model-simulation-frameworks", "publisher": "NVIDIA Newsroom", "date": "2025-03", "fields": [ "flagship_en", "open_outputs" ] }, { "url": "https://huggingface.co/nvidia/GR00T-N1-2B", "publisher": "Hugging Face", "date": "2025-03", "fields": [ "open_outputs" ] } ], "last_verified": "2026-07-10" }, { "id": "google-deepmind-robotics", "name": "Google DeepMind Robotics", "parent_org": "Google DeepMind (Alphabet)", "type": "corporate", "hq_country": "GB", "region": "EMEA", "city": "Londres", "focus": [ "VLA", "embodied reasoning", "cross-embodiment", "manipulation", "sim2real" ], "flagship_en": "Ships Gemini Robotics 1.5 and Gemini Robotics-ER 1.6, vision-language-action models that reason before acting and transfer across different robot embodiments.", "flagship_fr": "Développe Gemini Robotics 1.5 et Gemini Robotics-ER 1.6, des modèles vision-langage-action capables de raisonner avant d'agir et de transférer leurs compétences entre différents types de robots.", "key_people": [ "Carolina Parada (Senior Director, Head of Robotics)", "Aaron Saunders (ex-CTO Boston Dynamics, recruté en 2025)" ], "open_outputs": "Pas de poids ouverts pour Gemini Robotics/Robotics-ER (accès waitlist et SDK) ; contribution historique à l'initiative ouverte Open X-Embodiment / RT-X (dataset collaboratif multi-labos, 2023).", "notable_en": "Heir to RT-2 and RT-X, the team runs partnerships with Boston Dynamics, Apptronik and Agile Robots, and coordinates a 2026 EMEA robotics accelerator program.", "notable_fr": "Héritière de RT-2 et RT-X, l'équipe multiplie les partenariats industriels (Boston Dynamics, Apptronik, Agile Robots) et pilote en 2026 un programme d'accélérateur robotique dédié à l'EMEA.", "sources": [ { "url": "https://deepmind.google/models/gemini-robotics/", "publisher": "Google DeepMind", "date": "2026-04", "fields": [ "flagship_en", "focus" ] }, { "url": "https://bostondynamics.com/blog/boston-dynamics-google-deepmind-form-new-ai-partnership/", "publisher": "Boston Dynamics", "date": "2025-02", "fields": [ "notable_en" ] }, { "url": "https://www.cnbc.com/2026/03/24/google-agile-robots-ai-robotics.html", "publisher": "CNBC", "date": "2026-03-24", "fields": [ "notable_en" ] } ], "last_verified": "2026-07-10" }, { "id": "meta-fair", "name": "Meta FAIR (Fundamental AI Research)", "parent_org": "Meta Platforms, sous-groupe de Meta Superintelligence Labs", "type": "corporate", "hq_country": "US", "region": "Americas", "city": null, "focus": [ "world models", "embodied simulation", "tactile perception", "human-robot collaboration" ], "flagship_en": "Published V-JEPA 2, a 1.2-billion-parameter self-supervised world model trained on over one million hours of video that enables zero-shot robotic control on a Franka arm.", "flagship_fr": "A publié V-JEPA 2, un world model auto-supervisé de 1,2 milliard de paramètres entraîné sur plus d'un million d'heures de vidéo, permettant un contrôle robotique zero-shot sur un bras Franka.", "key_people": [ "Rob Fergus (Director of AI Research chez FAIR depuis mai 2025)" ], "open_outputs": "V-JEPA 2 (poids et code ouverts), PARTNR (benchmark et dataset de 100 000 tâches domestiques), Meta Sparsh (encodeur tactile), Meta Digit 360 et Digit Plexus (capteurs et plateforme matérielle), tous publiés fin 2024 et en 2025.", "notable_en": "Yann LeCun left Meta in November 2025 after founding FAIR in 2013, to launch the startup AMI Labs; FAIR continues under Rob Fergus inside Meta Superintelligence Labs, but public sources do not clearly confirm physical AI as a distinct strategic priority in mid-2026.", "notable_fr": "Yann LeCun a quitté Meta en novembre 2025, après avoir fondé FAIR en 2013, pour lancer la startup AMI Labs ; FAIR continue sous la direction de Rob Fergus au sein de Meta Superintelligence Labs, mais aucune source publique ne confirme clairement que la physical AI reste une priorité stratégique distincte mi-2026.", "sources": [ { "url": "https://ai.meta.com/blog/v-jepa-2-world-model-benchmarks/", "publisher": "Meta AI", "date": "2025-06", "fields": [ "flagship_en", "open_outputs" ] }, { "url": "https://techcrunch.com/2025/05/08/meta-taps-former-google-deepmind-director-to-lead-its-ai-research-lab/", "publisher": "TechCrunch", "date": "2025-05-08", "fields": [ "key_people" ] }, { "url": "https://www.technologyreview.com/2026/01/22/1131661/yann-lecuns-new-venture-ami-labs/", "publisher": "MIT Technology Review", "date": "2026-01-22", "fields": [ "notable_en" ] } ], "last_verified": "2026-07-10" }, { "id": "toyota-research-institute", "name": "Toyota Research Institute (TRI) - Large Behavior Models", "parent_org": "Toyota Motor Corporation", "type": "corporate", "hq_country": "US", "region": "Americas", "city": "Los Altos", "focus": [ "manipulation", "diffusion policies", "large behavior models", "sim2real" ], "flagship_en": "Developed Large Behavior Models that piloted Boston Dynamics' electric Atlas humanoid with a single policy controlling both hands and feet, building on the earlier Diffusion Policy work.", "flagship_fr": "A développé les Large Behavior Models, qui ont piloté l'Atlas électrique de Boston Dynamics avec une seule politique contrôlant à la fois les mains et les pieds, en s'appuyant sur les travaux antérieurs de Diffusion Policy.", "key_people": [ "Russ Tedrake (SVP Large Behavior Models chez TRI, Toyota Professor au MIT)", "Ben Burchfiel (Senior Research Manager)", "Naveen Kuppuswamy (Senior Research Scientist, robotique tactile)" ], "open_outputs": "Dataset DROID (76 000 trajectoires, ~350h, effort inter-institutionnel avec 13 labos), licence CC-BY 4.0 avec code d'entraînement ; Drake, toolkit de simulation robotique open source.", "notable_en": "Tedrake's dual role at TRI and MIT CSAIL anchors TRI within the academic robotics ecosystem.", "notable_fr": "Le double rôle de Tedrake chez TRI et au MIT CSAIL ancre TRI dans l'écosystème académique de la robotique.", "sources": [ { "url": "https://www.tri.global/about-us/dr-russ-tedrake", "publisher": "Toyota Research Institute", "date": "2026-06", "fields": [ "key_people" ] }, { "url": "https://www.robotics247.com/article/boston_dynamics_toyota_research_institute_demonstrate_large_behavior_model_powering_atlas_humanoid_robot/", "publisher": "Robotics 24/7", "date": "2025-01", "fields": [ "flagship_en" ] }, { "url": "https://www.greencarcongress.com/2023/09/20230920-tri.html", "publisher": "Green Car Congress", "date": "2023-09-20", "fields": [ "flagship_en" ] } ], "last_verified": "2026-07-10" }, { "id": "rai-institute", "name": "RAI Institute (Robotics and AI Institute, ex Boston Dynamics AI Institute)", "parent_org": "Organisation de recherche indépendante financée par Hyundai Motor Group et Boston Dynamics", "type": "corporate", "hq_country": "US", "region": "Americas", "city": "Cambridge (Massachusetts)", "focus": [ "reinforcement learning", "legged locomotion", "dexterous manipulation", "hardware design" ], "flagship_en": "Co-developed with Boston Dynamics a shared whole-body reinforcement learning pipeline for the electric Atlas humanoid, producing both natural walking gaits and gymnastic moves via zero-shot sim-to-real transfer.", "flagship_fr": "A co-développé avec Boston Dynamics un pipeline d'apprentissage par renforcement corps entier partagé pour l'Atlas électrique, produisant à la fois une démarche naturelle et des figures gymniques via un transfert sim-to-real zero-shot.", "key_people": [ "Marc Raibert (fondateur de Boston Dynamics, dirigeant du RAI Institute)", "Marco Hutter (dirige le nouveau bureau de Zurich, professeur à l'ETH Zurich)" ], "open_outputs": "Aucun accès ouvert significatif identifié (code/modèles non publiés).", "notable_en": "Opened a Zurich office in 2025 and signed a donation agreement with the ETH Foundation USA funding joint robotics research with ETH Zurich.", "notable_fr": "A ouvert un bureau à Zurich en 2025 et signé un accord de donation avec l'ETH Foundation USA finançant des projets de recherche robotique conjoints avec l'ETH Zurich.", "sources": [ { "url": "https://rai-inst.com/about/", "publisher": "RAI Institute", "date": "2026-06", "fields": [ "focus", "key_people" ] }, { "url": "https://bostondynamics.com/news/boston-dynamics-and-the-robotics-ai-institute-partner/", "publisher": "Boston Dynamics", "date": "2025-02-05", "fields": [ "flagship_en" ] }, { "url": "https://ethz.ch/en/news-and-events/eth-news/news/2025/09/the-rai-institute-opens-up-unique-opportunities-for-both-researchers-and-students.html", "publisher": "ETH Zurich", "date": "2025-09", "fields": [ "notable_en" ] } ], "last_verified": "2026-07-10" }, { "id": "microsoft-research-physical-ai", "name": "Microsoft Research - Physical AI Research", "parent_org": "Microsoft Corporation", "type": "corporate", "hq_country": "US", "region": "Americas", "city": null, "focus": [ "VLA", "tactile manipulation", "multimodal agents", "benchmarks" ], "flagship_en": "Announced Rho-Alpha, its first robotics model derived from the Phi vision-language lineage, integrating tactile perception and tested on bimanual industrial and humanoid platforms.", "flagship_fr": "A annoncé Rho-Alpha, son premier modèle robotique dérivé de la lignée vision-langage Phi, intégrant la perception tactile et testé sur des plateformes industrielles bi-bras et humanoïdes.", "key_people": [ "Ashley Llorens (CVP et Managing Director, Microsoft Research Accelerator)" ], "open_outputs": "Magma : code et poids ouverts (GitHub microsoft/Magma, Hugging Face microsoft/Magma-8B) ; Rho-Alpha en accès anticipé uniquement au moment de la vérification.", "notable_en": "A cross-lab initiative spanning Redmond, Cambridge (UK), New York and Montreal rather than a single dedicated lab; Magma unifies digital UI agents and physical robot manipulation.", "notable_fr": "Initiative transverse répartie entre Redmond, Cambridge (UK), New York et Montréal plutôt qu'un labo unique dédié ; Magma unifie agents numériques d'interface et manipulation robotique physique.", "sources": [ { "url": "https://www.microsoft.com/en-us/research/collaboration/physical-ai-research/", "publisher": "Microsoft Research", "date": "2026-01", "fields": [ "focus", "flagship_en" ] }, { "url": "https://www.therobotreport.com/microsoft-research-reveals-rho-alpha-vision-language-action-model-for-robots/", "publisher": "The Robot Report", "date": "2026-01", "fields": [ "flagship_en" ] }, { "url": "https://www.microsoft.com/en-us/research/blog/magma-a-foundation-model-for-multimodal-ai-agents-across-digital-and-physical-worlds/", "publisher": "Microsoft Research", "date": "2025-02", "fields": [ "open_outputs" ] } ], "last_verified": "2026-07-10" }, { "id": "sony-ai-zurich", "name": "Sony AI Zurich - Project Ace", "parent_org": "Sony AI (Sony Group Corporation)", "type": "corporate", "hq_country": "CH", "region": "EMEA", "city": "Zurich", "focus": [ "real-time control", "event-based vision", "model-free reinforcement learning", "dexterous manipulation" ], "flagship_en": "Built Project Ace, an autonomous table-tennis robot able to compete with elite human players, combining high-speed event-based vision sensors with model-free reinforcement learning, published on the cover of Nature in April 2026.", "flagship_fr": "A construit Project Ace, un robot autonome de tennis de table capable de rivaliser avec des joueurs humains d'élite, combinant capteurs de vision événementielle haute vitesse et apprentissage par renforcement model-free, publié en couverture de Nature en avril 2026.", "key_people": [ "Peter Dürr (Director, Sony AI Zurich, lead du projet Ace)" ], "open_outputs": "Recherche publiée dans Nature ; aucun poids ou code open source identifié au moment de la vérification.", "notable_en": "Sony AI also runs a parallel Gastronomy Flagship Project on dexterous culinary manipulation robots, distinct from the commercial AIBO product line.", "notable_fr": "Sony AI mène en parallèle le Gastronomy Flagship Project, consacré aux robots de manipulation culinaire dextre, à distinguer de la gamme produit grand public AIBO.", "sources": [ { "url": "https://ace.ai.sony/", "publisher": "Sony AI", "date": "2026-04", "fields": [ "flagship_en", "key_people" ] }, { "url": "https://www.nature.com/articles/s41586-026-10338-5", "publisher": "Nature", "date": "2026-04", "fields": [ "flagship_en" ] }, { "url": "https://roboticsandautomationnews.com/2026/05/14/sony-achieves-major-breakthrough-with-tennis-playing-robot/101509/", "publisher": "Robotics and Automation News", "date": "2026-05-14", "fields": [ "flagship_en" ] } ], "last_verified": "2026-07-10" }, { "id": "stanford-iris-lab", "name": "IRIS Lab (Intelligence through Robotic Interaction at Scale)", "parent_org": "Stanford University", "type": "academic", "hq_country": "US", "region": "Americas", "city": "Stanford (Californie)", "focus": [ "imitation learning", "meta-learning", "VLA", "human-robot data collection" ], "flagship_en": "Created Mobile ALOHA, a low-cost mobile bimanual teleoperation system letting a robot learn complex household tasks such as cooking and tidying from around 50 demonstrations.", "flagship_fr": "A créé Mobile ALOHA, un système de téléopération bimanuelle mobile à bas coût permettant à un robot d'apprendre des tâches ménagères complexes (cuisine, rangement) à partir d'environ 50 démonstrations.", "key_people": [ "Chelsea Finn (Assistant Professor, Stanford, William George and Ida Mary Hoover Faculty Fellow, cofondatrice de Physical Intelligence)", "Karl Pertsch (postdoc)", "Moo Jin Kim (doctorant, co-auteur OpenVLA)" ], "open_outputs": "Co-développement d'OpenVLA (modèle VLA 7B, poids ouverts) et d'Octo (politique généraliste open source, avec Berkeley et CMU) ; code Mobile ALOHA et RoboCrowd publiés en open source.", "notable_en": "As of mid-2026, Stanford's official faculty profile still lists Chelsea Finn as an active Assistant Professor with no documented leave, alongside her role as Physical Intelligence co-founder.", "notable_fr": "Mi-2026, la page officielle de Stanford liste toujours Chelsea Finn comme professeure assistante active, sans congé documenté, en parallèle de son rôle de cofondatrice de Physical Intelligence.", "sources": [ { "url": "https://profiles.stanford.edu/chelsea-finn", "publisher": "Stanford Profiles", "date": "2026-07", "fields": [ "key_people", "notable_en" ] }, { "url": "https://irislab.stanford.edu/people.html", "publisher": "IRIS Lab", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://news.stanford.edu/stories/2024/04/mobile-aloha-robot-is-a-quick-learner", "publisher": "Stanford Report", "date": "2024-04", "fields": [ "flagship_en" ] } ], "last_verified": "2026-07-10" }, { "id": "berkeley-rail-lab", "name": "RAIL - Robotic AI & Learning Lab", "parent_org": "UC Berkeley (EECS, au sein de BAIR)", "type": "academic", "hq_country": "US", "region": "Americas", "city": "Berkeley (Californie)", "focus": [ "reinforcement learning", "offline RL", "generalist manipulation", "VLA" ], "flagship_en": "Released BridgeData V2, a dataset of over 60,000 manipulation trajectories across 24 environments with free-form natural language instructions, built for generalizable policy learning.", "flagship_fr": "A publié BridgeData V2, un dataset de plus de 60 000 trajectoires de manipulation réparties sur 24 environnements avec instructions en langage naturel libre, conçu pour l'apprentissage de politiques généralisables.", "key_people": [ "Sergey Levine (Professor, directeur du lab)", "Andrew Wagenmaker (postdoc)" ], "open_outputs": "BridgeData V2 (dataset et code, GitHub rail-berkeley/bridge_data_v2), co-développement de Q-Transformer avec Google DeepMind, co-leadership d'Octo, SERL (Sample-Efficient Robotic RL) en open source.", "notable_en": "Chelsea Finn, Dhruv Shah and Kate Rakelly are among the lab's notable alumni; the separate 'Berkeley Humanoid' project belongs to Koushil Sreenath's Hybrid Robotics lab, not RAIL.", "notable_fr": "Chelsea Finn, Dhruv Shah et Kate Rakelly figurent parmi les alumni notables du lab ; le projet distinct « Berkeley Humanoid » relève du labo Hybrid Robotics de Koushil Sreenath, pas de RAIL.", "sources": [ { "url": "https://rail.eecs.berkeley.edu/people.html", "publisher": "RAIL Lab", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://vcresearch.berkeley.edu/faculty/sergey-levine", "publisher": "UC Berkeley", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://arxiv.org/pdf/2308.12952", "publisher": "arXiv", "date": "2023-08", "fields": [ "flagship_en" ] } ], "last_verified": "2026-07-10" }, { "id": "cmu-robotics-institute", "name": "Carnegie Mellon University Robotics Institute (Pathak Research Group)", "parent_org": "Carnegie Mellon University", "type": "academic", "hq_country": "US", "region": "Americas", "city": "Pittsburgh", "focus": [ "dexterous manipulation", "legged locomotion", "humanoid learning", "foundation models" ], "flagship_en": "Developed RMA (Rapid Motor Adaptation), an algorithm trained entirely in simulation and deployed without fine-tuning on a real A1 quadruped robot for real-time terrain adaptation.", "flagship_fr": "A développé RMA (Rapid Motor Adaptation), un algorithme entraîné entièrement en simulation et déployé sans réglage additionnel sur un robot quadrupède A1 réel pour une adaptation au terrain en temps réel.", "key_people": [ "Deepak Pathak (Assistant Professor, Robotics Institute ; CEO de Skild AI)", "Abhinav Gupta (Professor, Robotics Institute ; co-fondateur et président de Skild AI)", "David Held (Associate Professor)", "Katerina Fragkiadaki (Associate Professor)" ], "open_outputs": "Code de RMA et travaux dérivés publiés en open source (GitHub) ; publications RSS/CoRL en accès arXiv.", "notable_en": "Skild AI, a 2023 CMU spin-off co-founded by Pathak and Gupta, raised a $1.4B Series C led by SoftBank in January 2026 at a valuation above $14B to build a general-purpose robot foundation model.", "notable_fr": "Skild AI, essaimage CMU de 2023 cofondé par Pathak et Gupta, a levé 1,4 Md$ en série C menée par SoftBank en janvier 2026, pour une valorisation supérieure à 14 Md$, afin de construire un modèle de fondation robotique généraliste.", "sources": [ { "url": "https://www.ri.cmu.edu/ri-faculty/deepak-pathak/", "publisher": "CMU Robotics Institute", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://arxiv.org/abs/2107.04034", "publisher": "arXiv (RSS 2021)", "date": "2021-07", "fields": [ "flagship_en" ] }, { "url": "https://www.therobotreport.com/skild-ai-raises-1-4b-building-omni-bodied-robot-skild-brain/", "publisher": "The Robot Report", "date": "2026-01", "fields": [ "notable_en" ] } ], "last_verified": "2026-07-10" }, { "id": "mit-improbable-ai-lab", "name": "Improbable AI Lab", "parent_org": "MIT CSAIL", "type": "academic", "hq_country": "US", "region": "Americas", "city": "Cambridge (Massachusetts)", "focus": [ "dexterous manipulation", "agile locomotion", "reinforcement learning", "sim2real" ], "flagship_en": "Demonstrated Visual Dexterity, real-time in-hand reorientation of novel and complex object shapes from a single depth camera on a hardware setup costing under 5,000 dollars.", "flagship_fr": "A démontré Visual Dexterity, une réorientation en temps réel dans la main d'objets nouveaux aux formes complexes à partir d'une seule caméra de profondeur, sur un montage matériel coûtant moins de 5 000 dollars.", "key_people": [ "Pulkit Agrawal (Steven and Renee Finn Chair Assistant Professor, MIT EECS, directeur du lab)", "Gabe Margolis (doctorant, auteur principal de Rapid Locomotion)" ], "open_outputs": "Code de Rapid Locomotion via Reinforcement Learning (GitHub Improbable-AI/rapid-locomotion-rl) ; publications arXiv en accès libre pour Visual Dexterity.", "notable_en": "Rapid Locomotion via Reinforcement Learning reached record speeds of 3.9 m/s on the MIT Mini Cheetah and transferred to the Unitree Go1 across natural terrain.", "notable_fr": "Rapid Locomotion via Reinforcement Learning a atteint des vitesses record de 3,9 m/s sur le MIT Mini Cheetah, avec un transfert sur le Unitree Go1 sur des terrains naturels variés.", "sources": [ { "url": "https://improbableai.com/members.html", "publisher": "Improbable AI Lab", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://arxiv.org/pdf/2211.11744", "publisher": "arXiv (Science Robotics 2023)", "date": "2022-11", "fields": [ "flagship_en" ] }, { "url": "https://arxiv.org/pdf/2205.02824", "publisher": "arXiv (RSS 2022)", "date": "2022-05", "fields": [ "notable_en" ] } ], "last_verified": "2026-07-10" }, { "id": "eth-zurich-rsl", "name": "Robotic Systems Lab (RSL)", "parent_org": "ETH Zurich", "type": "academic", "hq_country": "CH", "region": "EMEA", "city": "Zurich", "focus": [ "legged robots", "reinforcement learning", "locomotion", "mobile manipulation" ], "flagship_en": "Taught the ANYmal quadruped to autonomously navigate parkour-style obstacles and rubble through reinforcement learning, published in Science Robotics in March 2024.", "flagship_fr": "A appris au quadrupède ANYmal à franchir en autonomie obstacles de type parkour et gravats grâce à l'apprentissage par renforcement, publié dans Science Robotics en mars 2024.", "key_people": [ "Marco Hutter (Head of Lab, Director ETH Centre for Robotics, cofondateur d'ANYbotics)", "Cesar Cadena (Senior Scientist)" ], "open_outputs": "Organisation GitHub leggedrobotics (300+ dépôts), notamment rsl_rl (framework RL), elevation_mapping_cupy (cartographie GPU) et open3d_slam (SLAM point-cloud).", "notable_en": "Hutter co-founded ANYbotics, the spin-off commercializing ANYmal; RSL trains its policies via massively parallel simulation running thousands of simulated ANYmal robots on a single workstation.", "notable_fr": "Hutter a cofondé ANYbotics, l'essaimage qui commercialise ANYmal ; RSL entraîne ses politiques via une simulation massivement parallèle faisant tourner des milliers d'ANYmal simulés sur une seule machine de bureau.", "sources": [ { "url": "https://rsl.ethz.ch/the-lab/people.html", "publisher": "ETH Zurich RSL", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://www.science.org/doi/10.1126/scirobotics.adi7566", "publisher": "Science Robotics", "date": "2024-03", "fields": [ "flagship_en" ] }, { "url": "https://ethz.ch/en/news-and-events/eth-news/news/2024/03/anymal-can-do-parkour-and-walk-across-rubble.html", "publisher": "ETH Zurich News", "date": "2024-03-13", "fields": [ "flagship_en" ] } ], "last_verified": "2026-07-10" }, { "id": "epfl-lasa", "name": "LASA - Learning Algorithms and Systems Laboratory", "parent_org": "EPFL (École Polytechnique Fédérale de Lausanne)", "type": "academic", "hq_country": "CH", "region": "EMEA", "city": "Lausanne", "focus": [ "learning from demonstration", "dynamical-systems control", "dexterous manipulation", "human-robot interaction" ], "flagship_en": "Formalized learning-from-demonstration control via dynamical systems, applied to whole-body control on the iCub humanoid and bimanual manipulation with KUKA arms, including mid-air object catching.", "flagship_fr": "A formalisé le contrôle par systèmes dynamiques appris par démonstration, appliqué au contrôle corps entier de l'humanoïde iCub et à la manipulation bi-bras avec des bras KUKA, y compris le rattrapage d'objets en vol.", "key_people": [ "Aude Billard (fondatrice et directrice du lab depuis 2006, directrice du Swiss Innovation Booster on Robotics)" ], "open_outputs": "DS Motion Generator, iCub Whole Body Task Controller, MLDemos (toolkit ML), datasets Crowdbot et LASA Handwriting Dataset, tous publiés sur la page dédiée Source Code and Datasets.", "notable_en": "The complementary BioRob Lab at EPFL (Auke Ijspeert) works in 2026 on bio-inspired locomotion controllers trained by reinforcement learning on humanoid robots.", "notable_fr": "Le labo complémentaire BioRob de l'EPFL (Auke Ijspeert) travaille en 2026 sur des contrôleurs de locomotion bio-inspirés entraînés par apprentissage par renforcement sur des robots humanoïdes.", "sources": [ { "url": "https://www.epfl.ch/labs/lasa/", "publisher": "EPFL", "date": "2026-07", "fields": [ "flagship_en", "focus" ] }, { "url": "https://www.epfl.ch/labs/lasa/code-datasets/", "publisher": "EPFL LASA", "date": "2026-07", "fields": [ "open_outputs" ] }, { "url": "https://people.epfl.ch/aude.billard", "publisher": "EPFL", "date": "2026-07", "fields": [ "key_people" ] } ], "last_verified": "2026-07-10" }, { "id": "iit-genova-humanoid-robotics", "name": "Programme robotique humanoïde IIT (iCub Tech Facility et AMI Lab)", "parent_org": "Istituto Italiano di Tecnologia (IIT)", "type": "academic", "hq_country": "IT", "region": "EMEA", "city": "Genova", "focus": [ "humanoid robots", "whole-body control", "telerobotics", "human-robot interaction" ], "flagship_en": "Built ergoCub, a next-generation humanoid developed with Italy's INAIL workplace-safety authority to reduce workers' biomechanical risk, alongside the iCub3 avatar system, a top-ranked bipedal robot at the ANA Avatar XPRIZE finals.", "flagship_fr": "A construit ergoCub, un humanoïde de nouvelle génération développé avec l'autorité italienne des accidents du travail INAIL pour réduire les risques biomécaniques des travailleurs, ainsi que le système d'avatar iCub3, robot bipède le mieux classé lors des finales de l'ANA Avatar XPRIZE.", "key_people": [ "Giorgio Metta (Directeur scientifique de l'IIT)", "Daniele Pucci (coordinateur de l'AMI Lab et du projet ergoCub, cofondateur de Generative Bionics)", "Lorenzo Natale (responsable du Humanoid Sensing and Perception Lab)", "Marco Maggiali (Facility Coordinator, iCub Tech)" ], "open_outputs": "YARP (Yet Another Robot Platform, middleware open source v3.0) et logiciels iCub/ergoCub publiés sur GitHub (organisation robotology).", "notable_en": "Generative Bionics, a spin-off co-founded by Pucci, raised 70 million euros for 'Made in Italy' humanoid robots; the ergoCub-INAIL project was recognized in New Delhi for ethical and sustainable AI use.", "notable_fr": "Generative Bionics, essaimage cofondé par Pucci, a levé 70 millions d'euros pour des humanoïdes « Made in Italy » ; le projet ergoCub-INAIL a été distingué à New Delhi pour l'usage éthique et durable de l'IA.", "sources": [ { "url": "https://icub.iit.it/", "publisher": "IIT", "date": "2026-07", "fields": [ "flagship_en", "focus" ] }, { "url": "https://opentalk.iit.it/il-progetto-iit-inail-ergocub-premiato-a-nuova-delhi-per-luso-dellai-etica-e-sostenibile/", "publisher": "IIT Open Talk", "date": "2026-05", "fields": [ "flagship_en" ] }, { "url": "https://www.eurekalert.org/news-releases/1109288", "publisher": "EurekAlert!", "date": "2026-05", "fields": [ "notable_en" ] } ], "last_verified": "2026-07-10" }, { "id": "tum-mirmi", "name": "MIRMI - Munich Institute of Robotics and Machine Intelligence", "parent_org": "Technische Universität München (TUM)", "type": "academic", "hq_country": "DE", "region": "EMEA", "city": "Munich", "focus": [ "robot learning", "tactile and contact-aware robotics", "human-robot interaction", "assistive robotics" ], "flagship_en": "Founded in April 2018 by Sami Haddadin, MIRMI unites robot learning, tactile robotics and assistive robotics research, and now claims a self-reported top global ranking in robotics per CSRankings.org.", "flagship_fr": "Fondé en avril 2018 par Sami Haddadin, MIRMI réunit la recherche en apprentissage robotique, robotique tactile et robotique assistive, et revendique un classement mondial de premier plan en robotique selon CSRankings.org (auto-déclaration de l'institut).", "key_people": [ "Lorenzo Masia (Executive Director depuis octobre 2024, robotique portable et assistive)", "Achim Lilienthal (Deputy Director, perception multimodale)", "Angela Schoellig (Industry & International)" ], "open_outputs": "Aucun dépôt ou dataset open source spécifique confirmé au moment de la vérification.", "notable_en": "Founding director Sami Haddadin left MIRMI in January 2025 and now serves as VP Research at MBZUAI in Abu Dhabi.", "notable_fr": "Le directeur fondateur Sami Haddadin a quitté MIRMI en janvier 2025 et occupe désormais le poste de VP Research à MBZUAI, à Abou Dabi.", "sources": [ { "url": "https://www.mirmi.tum.de/en/mirmi/news/article/tum-new-leadership-at-the-robotics-institute-mirmi/", "publisher": "MIRMI-TUM", "date": "2025-04-10", "fields": [ "flagship_en", "key_people" ] }, { "url": "https://en.wikipedia.org/wiki/Sami_Haddadin", "publisher": "Wikipedia", "date": "2026-07", "fields": [ "notable_en" ] }, { "url": "https://mbzuai.ac.ae/study/faculty/sami-haddadin/", "publisher": "MBZUAI", "date": "2026-07", "fields": [ "notable_en" ] } ], "last_verified": "2026-07-10" }, { "id": "kit-h2t", "name": "H2T - High Performance Humanoid Technologies Lab", "parent_org": "Karlsruhe Institute of Technology (KIT), Institute for Anthropomatics and Robotics", "type": "academic", "hq_country": "DE", "region": "EMEA", "city": "Karlsruhe", "focus": [ "humanoid robots", "grasping", "mobile manipulation", "learning from human observation" ], "flagship_en": "Develops the ARMAR humanoid family since 1998, with the latest ARMAR-7 generation able to autonomously perform everyday household tasks such as emptying a dishwasher or folding laundry.", "flagship_fr": "Développe la famille de robots humanoïdes ARMAR depuis 1998, la dernière génération ARMAR-7 étant capable d'exécuter en autonomie des tâches ménagères du quotidien comme vider un lave-vaisselle ou plier du linge.", "key_people": [ "Tamim Asfour (Full Professor, directeur du H2T, porte-parole du Robotics Institute Germany, IEEE Fellow depuis janvier 2026)" ], "open_outputs": "ArmarX (architecture logicielle cognitive open source), Master Motor Map (format de capture de mouvement), Simox, IVT, RobotEditor, et datasets KIT Human Motion Database, KIT Motion-Language Dataset et Bimanual Actions Dataset.", "notable_en": "Asfour leads the Robotics Institute Germany (RIG), a national initiative federating German robotics research, with dedicated Physical AI events in 2025-2026.", "notable_fr": "Asfour pilote le Robotics Institute Germany (RIG), initiative nationale fédérant la recherche robotique allemande, avec des événements Physical AI dédiés en 2025-2026.", "sources": [ { "url": "https://h2t.iar.kit.edu/english/", "publisher": "KIT H2T", "date": "2026-07", "fields": [ "flagship_en", "focus" ] }, { "url": "https://h2t.iar.kit.edu/tamim-asfour.php", "publisher": "KIT H2T", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://robotics-institute-germany.de/rig-spokesperson-tamim-asfour-elevated-to-ieee-fellow-2026/", "publisher": "Robotics Institute Germany", "date": "2026-01", "fields": [ "key_people", "notable_en" ] } ], "last_verified": "2026-07-10" }, { "id": "oxford-robotics-institute", "name": "Oxford Robotics Institute (ORI)", "parent_org": "University of Oxford, Department of Engineering Science", "type": "academic", "hq_country": "GB", "region": "EMEA", "city": "Oxford", "focus": [ "long-term autonomy", "robot learning", "autonomous driving", "scene understanding" ], "flagship_en": "Produced the Oxford RobotCar Dataset, a reference autonomous-driving dataset with over 100 repeated traversals of the same route over a year, spinning off the self-driving software company Oxa (formerly Oxbotica).", "flagship_fr": "A produit l'Oxford RobotCar Dataset, un jeu de données de référence pour la conduite autonome comptant plus de 100 traversées répétées d'un même trajet sur un an, à l'origine de l'essaimage Oxa (anciennement Oxbotica).", "key_people": [ "Nick Hawes (Director de l'ORI depuis 2022)", "Ingmar Posner (Founding Director, aujourd'hui Deputy Director, cofondateur d'Oxa)", "Paul Newman (Professor, head du Mobile Robotics Group, cofondateur d'Oxa)" ], "open_outputs": "Oxford RobotCar Dataset et Oxford Radar RobotCar Dataset, en accès ouvert sur robotcar-dataset.robots.ox.ac.uk.", "notable_en": "Oxa raised 47 million dollars in a 2021 Series B and 140 million dollars in a 2023 Series C to deploy its GPS-independent autonomous driving software stack.", "notable_fr": "Oxa a levé 47 millions de dollars en série B (2021) puis 140 millions de dollars en série C (2023) pour déployer sa pile logicielle de conduite autonome indépendante du GPS.", "sources": [ { "url": "https://ori.ox.ac.uk/people/nick-hawes/", "publisher": "Oxford Robotics Institute", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://ori.ox.ac.uk/people/ingmar-posner", "publisher": "Oxford Robotics Institute", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://journals.sagepub.com/doi/abs/10.1177/0278364916679498", "publisher": "International Journal of Robotics Research", "date": "2017-01", "fields": [ "flagship_en", "open_outputs" ] } ], "last_verified": "2026-07-10" }, { "id": "tu-delft-amr-lab", "name": "Autonomous Multi-Robots Laboratory (département Cognitive Robotics)", "parent_org": "Delft University of Technology (TU Delft)", "type": "academic", "hq_country": "NL", "region": "EMEA", "city": "Delft", "focus": [ "multi-robot motion planning", "autonomous navigation", "mobile manipulation", "human-swarm interaction" ], "flagship_en": "Leads the Roboat program, developing safe motion planning in busy canal traffic and multi-vehicle fleet control for autonomous boats navigating the Amsterdam canals.", "flagship_fr": "Pilote le programme Roboat, développant la planification de trajectoires sûres dans un trafic dense de canaux et le contrôle de flottes multi-véhicules pour des bateaux autonomes naviguant dans les canaux d'Amsterdam.", "key_people": [ "Javier Alonso-Mora (Professor of Mobile and Collaborative Robotics, directeur du TU Delft Robotics Institute, ERC Starting Grant 2021)", "Laura Ferranti (fondatrice du Reliable Robot Control Lab)", "Holger Caesar (Assistant Professor, perception de véhicules autonomes)" ], "open_outputs": "Code de planification multi-robots publié sur github.com/tud-amr.", "notable_en": "The team won the IEEE T-ASE Best Paper Award in 2024 for distributed auction algorithms in multi-robot task assignment, and an ICRA Best Paper Award on multi-robot systems in 2019.", "notable_fr": "L'équipe a remporté le IEEE T-ASE Best Paper Award en 2024 pour des algorithmes d'enchères distribuées d'assignation de tâches multi-robots, et un ICRA Best Paper Award sur les systèmes multi-robots en 2019.", "sources": [ { "url": "https://www.tudelft.nl/en/robotics-institute", "publisher": "TU Delft Robotics Institute", "date": "2026-07", "fields": [ "focus", "key_people" ] }, { "url": "https://autonomousrobots.nl/people/", "publisher": "TU Delft AMR Lab", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://www.ams-institute.org/news/roboat-ahoy-first-prototypes-autonomous-boats-tested-amsterdam/", "publisher": "AMS Institute", "date": "2026-07", "fields": [ "flagship_en" ] } ], "last_verified": "2026-07-10" }, { "id": "arts-et-metiers-lispen", "name": "LISPEN - Laboratoire d'Ingénierie des Systèmes Physiques Et Numériques", "parent_org": "Arts et Metiers (ENSAM)", "type": "public-research", "hq_country": "FR", "region": "EMEA", "city": "Lille", "focus": [ "robotique industrielle", "cobotique", "commande de mouvement", "generation de trajectoire", "interaction homme-robot" ], "flagship_en": "Coordinated the EU H2020 ColRobot project (2015-2018), an 11-partner consortium across 5 countries including Renault and Thales Alenia Space, developing a mobile collaborative robot acting as a 'third hand' for industrial assembly.", "flagship_fr": "A coordonné le projet européen H2020 ColRobot (2015-2018), un consortium de 11 partenaires dans 5 pays dont Renault et Thales Alenia Space, développant un robot mobile collaboratif agissant comme une « troisième main » pour l'assemblage industriel.", "key_people": [ "Richard Béarée (Professeur des universités en automatique et robotique, directeur du LISPEN depuis janvier 2021)", "Olivier Gibaru (Professeur, coordinateur du projet H2020 ColRobot, génération de trajectoire)", "Adel Olabi (Maître de conférences en robotique, calibration et précision de robots)", "Olivier Thomas (Professeur, dynamique vibratoire et structures intelligentes)" ], "open_outputs": "Publications en accès ouvert via HAL (profil cv.hal.science/richard-bearee) ; aucun dépôt de code ou dataset open source majeur identifié pour les travaux robotiques du LISPEN.", "notable_en": "Founded in 2018 with over 100 members and around 40 PhD students, LISPEN co-leads the 'Prototyping/Design' axis of France's national TIRREX robotics infrastructure (EquipEx+ 2021-2026) alongside CEA List, and Béarée directs the French national robotics research group GDR Robotique.", "notable_fr": "Créé en 2018, avec plus de 100 membres et environ 40 doctorants, le LISPEN copilote l'axe « Prototypage/Conception » de l'infrastructure nationale TIRREX (EquipEx+ 2021-2026) aux côtés du CEA List, et Béarée dirige le GDR Robotique, groupement de recherche national français en robotique.", "sources": [ { "url": "https://lispen.artsetmetiers.fr/user/40", "publisher": "LISPEN, Arts et Metiers", "date": "2026-07", "fields": [ "key_people", "focus" ] }, { "url": "https://artsetmetiers.fr/fr/actualites/un-nouveau-directeur-pour-le-laboratoire-dingenierie-des-systemes-physiques-et", "publisher": "Arts et Metiers", "date": "2021-01-04", "fields": [ "key_people" ] }, { "url": "https://cv.hal.science/richard-bearee", "publisher": "HAL", "date": "2026-07", "fields": [ "key_people", "open_outputs" ] }, { "url": "https://artsetmetiers.fr/en/actualites/arts-et-metiers-lead-institute-european-funded-project-colrobot", "publisher": "Arts et Metiers", "date": "2018-06", "fields": [ "flagship_en" ] }, { "url": "https://tirrex.fr/laboratoire/lispen/", "publisher": "TIRREX", "date": "2026-01", "fields": [ "notable_en" ] } ], "last_verified": "2026-07-10" }, { "id": "inria-hucebot", "name": "HUCEBOT - Human-Centered Robotics (successeur de l'équipe LARSEN)", "parent_org": "Inria (Centre Inria de l'Université de Lorraine, associé au LORIA, CNRS et Université de Lorraine)", "type": "public-research", "hq_country": "FR", "region": "EMEA", "city": "Nancy", "focus": [ "humanoid robotics", "whole-body control", "exoskeletons", "teleoperation", "learning-based control" ], "flagship_en": "Developed the SEIKO whole-body multi-contact force controller for position-controlled humanoid robots, tested on the Talos humanoid, with fully open-source code, published in IEEE Robotics and Automation Letters (2024).", "flagship_fr": "A développé le contrôleur de force corps entier multi-contact SEIKO pour robots humanoïdes à commande en position, testé sur l'humanoïde Talos, avec un code entièrement open source, publié dans IEEE Robotics and Automation Letters (2024).", "key_people": [ "Serena Ivaldi (Directrice de recherche, cheffe d'équipe HUCEBOT depuis octobre 2023)", "Jean-Baptiste Mouret (Directeur de recherche, algorithmes MAP-Elites, ERC Starting Grant 2014)", "Pauline Maurice (Chargée de recherche CNRS)" ], "open_outputs": "Code open source sur GitHub (github.com/hucebot, dont seiko_controller_code) ; participation aux projets européens euROBIN et ENACT (2024-2029).", "notable_en": "Ivaldi and Mouret co-founded the startup Bleu Robotics, building on around 20 years of humanoid robotics research to deliver AI-driven humanoid robots for industry.", "notable_fr": "Ivaldi et Mouret ont cofondé la start-up Bleu Robotics, s'appuyant sur environ 20 ans de recherche en robotique humanoïde pour livrer des robots humanoïdes pilotés par IA à l'industrie.", "sources": [ { "url": "https://team.inria.fr/hucebot/team/", "publisher": "Inria", "date": "2026-07", "fields": [ "key_people", "focus" ] }, { "url": "https://members.loria.fr/SIvaldi/equipe/", "publisher": "LORIA", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://github.com/hucebot/seiko_controller_code", "publisher": "GitHub / IEEE RA-L 2024", "date": "2024-06", "fields": [ "flagship_en", "open_outputs" ] } ], "last_verified": "2026-07-10" }, { "id": "laas-cnrs-gepetto", "name": "Gepetto - Mouvement des Systèmes Anthropomorphes", "parent_org": "LAAS-CNRS (CNRS et Université de Toulouse)", "type": "public-research", "hq_country": "FR", "region": "EMEA", "city": "Toulouse", "focus": [ "humanoid control", "quadruped control", "optimal control", "motion planning" ], "flagship_en": "Created Pinocchio, an open-source software library for fast computation of articulated rigid-body kinematics and dynamics with analytical derivatives, now widely adopted across global robotics research.", "flagship_fr": "A créé Pinocchio, une bibliothèque logicielle open source de calcul rapide de la cinématique et de la dynamique de chaînes articulées avec leurs dérivées analytiques, largement adoptée dans la recherche robotique mondiale.", "key_people": [ "Nicolas Mansard (Directeur de recherche CNRS, chef d'équipe Gepetto, prix Étoile de l'Europe 2022)", "Olivier Stasse (chercheur, robotique humanoïde)", "Florent Lamiraux (chercheur, planification de mouvement)", "Ludovic Righetti (chercheur, contrôle de robots quadrupèdes)" ], "open_outputs": "Pinocchio (dynamique et cinématique), Crocoddyl (contrôle prédictif), HPP - Humanoid Path Planner (planification de mouvement sans collision), tous open source sur GitHub (stack-of-tasks).", "notable_en": "The team develops in-house robotic platforms, the Pyrene humanoid and the Solo and Sassa quadrupeds; France's national PEPR Robotique research program launched at LAAS-CNRS in February 2026.", "notable_fr": "L'équipe développe des plateformes robotiques internes, l'humanoïde Pyrene et les quadrupèdes Solo et Sassa ; le programme prioritaire de recherche national PEPR Robotique a été lancé au LAAS-CNRS en février 2026.", "sources": [ { "url": "https://www.laas.fr/en/teams/gepetto/", "publisher": "LAAS-CNRS", "date": "2026-07", "fields": [ "focus", "notable_en" ] }, { "url": "https://gepettoweb.laas.fr/index.php/Members/NicolasMansard", "publisher": "Gepetto Team", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://github.com/stack-of-tasks/pinocchio", "publisher": "GitHub", "date": "2026-07", "fields": [ "flagship_en", "open_outputs" ] }, { "url": "https://www.ins2i.cnrs.fr/fr/cnrsinfo/une-etoile-de-leurope-pour-la-robotique-humanoide", "publisher": "CNRS INS2I", "date": "2022-12-13", "fields": [ "key_people" ] } ], "last_verified": "2026-07-10" }, { "id": "dfki-robotics-innovation-center", "name": "Robotics Innovation Center (RIC)", "parent_org": "DFKI (Deutsches Forschungszentrum für Künstliche Intelligenz)", "type": "public-research", "hq_country": "DE", "region": "EMEA", "city": "Brême", "focus": [ "learning robot control", "hybrid symbolic and sub-symbolic AI", "humanoid robots", "space and maritime robotics" ], "flagship_en": "Through the VeryHuman project, combined fast reinforcement learning with reliable symbolic verification to teach the RH5 humanoid dynamic walking at up to 0.43 m/s, described by DFKI as a first for this class of humanoid.", "flagship_fr": "A combiné, via le projet VeryHuman, apprentissage par renforcement rapide et vérification symbolique fiable pour apprendre à l'humanoïde RH5 une marche dynamique jusqu'à 0,43 m/s, présentée par DFKI comme une première pour cette catégorie d'humanoïde.", "key_people": [ "Frank Kirchner (Directeur du Robotics Innovation Center)", "Rebecca Adam (Responsable de l'équipe Interaction and Learning)", "Rolf Drechsler (Directeur du département Cyber-Physical Systems, DFKI Brême)" ], "open_outputs": "Logiciels open source publiés sur github.com/dfki-ric : Rock (Robot Construction Kit, middleware robotique), HyRoDyn (dynamique hybride), Bagel (langage graphique de dataflow), ARC-OPT.", "notable_en": "The center is organized into four fundamental research groups (Mechanics and Control, Interaction and Learning, Quantum Computing, Human-Centred Interaction) and four applied teams (Maritime, Space, Terrestrial, Intelligent Healthcare Systems).", "notable_fr": "Le centre est structuré en quatre groupes de recherche fondamentale (Mechanics and Control, Interaction and Learning, Quantum Computing, Human-Centred Interaction) et quatre équipes applicatives (Maritime, Space, Terrestrial, Intelligent Healthcare Systems).", "sources": [ { "url": "https://robotik.dfki-bremen.de/en/startpage", "publisher": "DFKI Robotics Innovation Center", "date": "2026-07", "fields": [ "focus", "notable_en" ] }, { "url": "https://techxplore.com/news/2024-06-synergizing-ai-approach-safe-humanoid.html", "publisher": "TechXplore", "date": "2024-06-25", "fields": [ "flagship_en" ] }, { "url": "https://www.dfki.de/en/web/research/projects-and-publications/project/veryhuman/", "publisher": "DFKI", "date": "2024-06", "fields": [ "flagship_en", "key_people" ] } ], "last_verified": "2026-07-10" }, { "id": "shanghai-ai-lab-opendrivelab", "name": "Shanghai Artificial Intelligence Laboratory - OpenDriveLab", "parent_org": "Institut de recherche public chinois, en partenariat de recherche avec AgiBot / Zhiyuan Robotics pour le dataset AgiBot World", "type": "public-research", "hq_country": "CN", "region": "APAC", "city": "Shanghai", "focus": [ "embodied AI", "end-to-end autonomous driving", "world models", "humanoid manipulation datasets", "VLA" ], "flagship_en": "Co-produced AgiBot World, an open dataset of over one million manipulation trajectories collected by 100+ robots across 100+ real-world scenarios, and GO-1, a generalist policy model trained on it.", "flagship_fr": "A coproduit AgiBot World, un dataset ouvert de plus d'un million de trajectoires de manipulation collectées par plus de 100 robots dans plus de 100 scénarios réels, ainsi que GO-1, un modèle de politique généraliste entraîné sur ce dataset.", "key_people": [ "Hongyang Li (cofondateur et lead scientist d'OpenDriveLab, Assistant Professor à HKU, chercheur affilié à Shanghai AI Lab)", "Zhou Bowen (Directeur et Chief Scientist de Shanghai AI Laboratory depuis juillet 2024)" ], "open_outputs": "Dataset AgiBot World (GitHub OpenDriveLab/AgiBot-World, Hugging Face agibot-world/AgiBotWorld-Alpha et Beta), poids du modèle GO-1 / GO-1 Air, code de UniAD (Best Paper CVPR 2023) en open source.", "notable_en": "OpenDriveLab is not an internal Shanghai AI Lab team but a research initiative mainly hosted at the University of Hong Kong; AgiBot (Zhiyuan Robotics) is a separate private startup, not a subsidiary of Shanghai AI Lab, the two organizations run a dataset and research partnership.", "notable_fr": "OpenDriveLab n'est pas une équipe interne de Shanghai AI Lab mais une initiative de recherche principalement hébergée à l'University of Hong Kong ; AgiBot (Zhiyuan Robotics) est une startup privée distincte, non filiale de Shanghai AI Lab, les deux organisations menant un partenariat de dataset et de recherche.", "sources": [ { "url": "https://opendrivelab.com/AgiBot-World/", "publisher": "OpenDriveLab", "date": "2026-01", "fields": [ "flagship_en", "open_outputs" ] }, { "url": "https://github.com/OpenDriveLab/Agibot-World", "publisher": "GitHub", "date": "2026-01", "fields": [ "open_outputs" ] }, { "url": "https://www.therobotreport.com/agibot-world-2026-dataset-open-source-accelerate-embodied-ai-development/", "publisher": "The Robot Report", "date": "2026-06", "fields": [ "flagship_en", "notable_en" ] }, { "url": "https://www.scmp.com/tech/big-tech/article/3271000/ex-ibm-scientist-helms-shanghai-ai-lab-after-death-sensetimes-tang", "publisher": "South China Morning Post", "date": "2024-07", "fields": [ "key_people" ] } ], "last_verified": "2026-07-10" }, { "id": "x-humanoid-beijing", "name": "X-Humanoid (Beijing Humanoid Robot Innovation Center Co., Ltd.)", "parent_org": "Joint-venture public-privé soutenue par la Beijing Economic-Technological Development Area, avec UBTech Robotics, Xiaomi et Beijing Yizhuang Investment Holdings", "type": "public-research", "hq_country": "CN", "region": "APAC", "city": "Pékin (zone de Yizhuang)", "focus": [ "general-purpose humanoid platform", "embedded embodied AI", "dynamic locomotion", "dual-system architecture" ], "flagship_en": "Built Tiangong, the first full-size fully electric humanoid robot to complete an autonomous half-marathon in April 2025, with its hardware design open-sourced in November 2024 and a Tiangong 3.0 generation unveiled in February 2026.", "flagship_fr": "A construit Tiangong, premier robot humanoïde full-size 100% électrique à avoir couru un semi-marathon en autonomie complète en avril 2025, avec un design matériel open-sourcé en novembre 2024 et une génération Tiangong 3.0 dévoilée en février 2026.", "key_people": [ "Xiong Youjun (cofondateur et General Manager de X-Humanoid, également cofondateur et CTO d'UBTech Robotics)", "Tang Jian (CTO de X-Humanoid)" ], "open_outputs": "Design matériel du robot Tiangong (open source depuis novembre 2024), modèle vision-langage Pelican-VL, dataset RoboMIND.", "notable_en": "Designated in October 2024 as a 'National-Local Jointly Built Embodied Intelligence Robotics Innovation Center', X-Humanoid is legally distinct from the private startup AgiBot / Zhiyuan Robotics, though both are based in China's humanoid robotics ecosystem.", "notable_fr": "Désigné en octobre 2024 comme « National-Local Jointly Built Embodied Intelligence Robotics Innovation Center », X-Humanoid est juridiquement distinct de la startup privée AgiBot / Zhiyuan Robotics, bien que les deux appartiennent à l'écosystème chinois de la robotique humanoïde.", "sources": [ { "url": "https://www.globaltimes.cn/page/202411/1323477.shtml", "publisher": "Global Times", "date": "2024-11", "fields": [ "flagship_en", "open_outputs" ] }, { "url": "https://english.news.cn/20250314/", "publisher": "Xinhua", "date": "2025-03-13", "fields": [ "flagship_en" ] }, { "url": "https://www.humanoidsdaily.com/news/beijing-tiangong-3-0", "publisher": "Humanoids Daily", "date": "2026-02", "fields": [ "flagship_en", "key_people" ] } ], "last_verified": "2026-07-10" }, { "id": "utokyo-jsk-lab", "name": "JSK Laboratory (Jouhou System Kougaku)", "parent_org": "University of Tokyo, Graduate School of Information Science and Technology", "type": "academic", "hq_country": "JP", "region": "APAC", "city": "Tokyo", "focus": [ "musculoskeletal humanoids", "tendon-driven robots", "motor learning", "biomimetics" ], "flagship_en": "Built Musashi, a musculoskeletal humanoid with 74 artificial muscles and 39 joints, which drove a Toyota COMS electric car autonomously on real campus roads, braking for pedestrians and reacting to horns and traffic lights.", "flagship_fr": "A construit Musashi, un humanoïde musculo-squelettique doté de 74 muscles artificiels et 39 articulations, capable de conduire en autonomie une voiture électrique Toyota COMS sur des routes réelles de campus, en freinant devant les piétons et en réagissant aux klaxons et aux feux.", "key_people": [ "Masayuki Inaba (Professeur, directeur du JSK Lab)", "Kei Okada (Professeur, Département Mechano-Informatics)", "Kento Kawaharazuka (Lecturer, JSK Lab et UTokyo AI Center)" ], "open_outputs": "Publications en accès libre sur arXiv (nombreux articles 2024-2026 sur Musashi et le contrôle appris) ; pas de release logicielle majeure confirmée au-delà de ces publications.", "notable_en": "One of Japan's oldest robotics labs, founded around 1978 by Hirochika Inoue, with a lineage of emblematic humanoids including Kotaro, Kenshiro, Kengoro and Musashi.", "notable_fr": "L'un des plus anciens laboratoires de robotique du Japon, fondé vers 1978 par Hirochika Inoue, avec une lignée d'humanoïdes emblématiques incluant Kotaro, Kenshiro, Kengoro et Musashi.", "sources": [ { "url": "https://newatlas.com/robotics/musashi-humanoid-robot-driver/", "publisher": "New Atlas", "date": "2024-06-13", "fields": [ "flagship_en" ] }, { "url": "https://arxiv.org/abs/2406.01843", "publisher": "arXiv", "date": "2024-06", "fields": [ "flagship_en" ] }, { "url": "https://haraduka.github.io/", "publisher": "Kento Kawaharazuka (page personnelle)", "date": "2026-07", "fields": [ "key_people" ] } ], "last_verified": "2026-07-10" }, { "id": "kaist-hubolab", "name": "Humanoid Robot Research Center (HuboLab) et Dynamic Robot Control and Design Lab (DRCD)", "parent_org": "KAIST (Korea Advanced Institute of Science and Technology), Department of Mechanical Engineering", "type": "academic", "hq_country": "KR", "region": "APAC", "city": "Daejeon", "focus": [ "dynamic bipedal locomotion", "learning-based control", "legged robot mechanical design", "HUBO lineage" ], "flagship_en": "Successor to HUBO and DRC-Hubo, winner of the 2015 DARPA Robotics Challenge, the lab's new humanoid demonstrated running, moonwalking and soccer kicks on real terrain at around 12 km/h in trials reported in September 2025.", "flagship_fr": "Successeur de HUBO et DRC-Hubo, vainqueur de la DARPA Robotics Challenge 2015, le nouvel humanoïde du labo a démontré en environnement réel course, moonwalk et frappes de foot à environ 12 km/h lors d'essais rapportés en septembre 2025.", "key_people": [ "Hae-Won Park (Directeur du Humanoid Robot Research Center depuis février 2020, dirige aussi le DRCD Lab)", "Jemin Hwangbo (Professeur KAIST, collabore sur le haut du corps du nouvel humanoïde)", "Jun-Ho Oh (Professeur émérite, créateur du HUBO original en 2004, aujourd'hui CTO de Rainbow Robotics)" ], "open_outputs": "Aucune publication ouverte de dataset ou de code comparable identifiée ; publications académiques via IROS/ICRA uniquement.", "notable_en": "Rainbow Robotics, a 2011 KAIST spin-off commercializing HUBO-derived technology, has drawn significant investment from Samsung, illustrating a strong capital link between this academic lab and industry.", "notable_fr": "Rainbow Robotics, essaimage KAIST de 2011 commercialisant les technologies dérivées de HUBO, a fait l'objet d'investissements significatifs de Samsung, illustrant un lien capitalistique fort entre ce labo académique et l'industrie.", "sources": [ { "url": "https://dynamicrobot.kaist.ac.kr/uploads/1/5/0/3/150311225/hwpark_cv_simple.pdf", "publisher": "KAIST (CV Hae-Won Park)", "date": "2026-07", "fields": [ "key_people" ] }, { "url": "https://techxplore.com/news/2025-09-generation-humanoid-robot-moonwalk.html", "publisher": "TechXplore", "date": "2025-09", "fields": [ "flagship_en" ] }, { "url": "https://interestingengineering.com/innovation/kaist-humanoid-robot-moonwalk-soccer", "publisher": "Interesting Engineering", "date": "2025-09", "fields": [ "flagship_en", "key_people" ] } ], "last_verified": "2026-07-10" }, { "id": "fraunhofer-ipa", "name": "Fraunhofer IPA (Institut für Produktionstechnik und Automatisierung)", "parent_org": "Fraunhofer-Gesellschaft", "type": "public-research", "hq_country": "DE", "region": "EMEA", "city": "Stuttgart", "focus": [ "industrial robotics", "bin picking", "service robots", "AI quality inspection", "robot programming automation" ], "flagship_en": "Built the Care-O-bot service robot line and industrial bin-picking systems deployed with German manufacturers; one of Europe's largest applied robotics research institutes, bridging research and factory deployment.", "flagship_fr": "A construit la lignée de robots de service Care-O-bot et des systèmes de bin picking industriels déployés chez des industriels allemands ; l'un des plus grands instituts européens de recherche appliquée en robotique, entre laboratoire et usine.", "key_people": [ "Werner Kraus (responsable robotique et systèmes d'assistance)", "Marco Huber (IA industrielle et vision)" ], "open_outputs": "Publications appliquées, démonstrateurs industriels, participation aux projets européens Horizon (robotique de production).", "notable_en": "Fraunhofer's applied funding model (industry contracts plus public base funding) makes IPA a reference partner for German Mittelstand factories piloting robotics and AI, from vision-guided picking to mobile manipulation.", "notable_fr": "Le modèle de financement appliqué de Fraunhofer (contrats industriels plus socle public) fait de l'IPA un partenaire de référence du Mittelstand allemand pour les pilotes robotique et IA, du picking guidé par vision à la manipulation mobile.", "last_verified": "2026-07-10", "sources": [ { "url": "https://www.ipa.fraunhofer.de/en/expertise/robot-and-assistive-systems.html", "publisher": "Fraunhofer IPA", "date": "2026-07-10", "fields": [ "flagship_en", "flagship_fr", "focus" ] }, { "url": "https://www.care-o-bot.de/en/", "publisher": "Fraunhofer IPA (Care-O-bot)", "date": "2026-07-10", "fields": [ "flagship_en", "flagship_fr" ] } ] }, { "id": "fraunhofer-iml", "name": "Fraunhofer IML (Institut für Materialfluss und Logistik)", "parent_org": "Fraunhofer-Gesellschaft", "type": "public-research", "hq_country": "DE", "region": "EMEA", "city": "Dortmund", "focus": [ "logistics robotics", "AMR swarms", "warehouse automation", "drones for inventory" ], "flagship_en": "Developed the evoBOT self-balancing transport robot and the LoadRunner high-speed AMR swarm, both demonstrated with industrial partners; Europe's reference lab for intralogistics robotics.", "flagship_fr": "A développé le robot de transport auto-équilibré evoBOT et l'essaim d'AMR rapides LoadRunner, démontrés avec des partenaires industriels ; le laboratoire européen de référence de la robotique intralogistique.", "key_people": [ "Michael ten Hompel (directeur, chaire de logistique TU Dortmund)" ], "open_outputs": "Démonstrateurs evoBOT et LoadRunner, publications, projets avec DHL et l'écosystème logistique allemand.", "notable_en": "IML sits at the junction the Atlas tracks between AMR fleets and data: its swarm work prefigures the fleet-learning loops that make warehouse robotics a data business.", "notable_fr": "L'IML se situe exactement à la jonction que suit l'Atlas entre flottes d'AMR et données : ses travaux sur les essaims préfigurent les boucles d'apprentissage de flotte qui font de la robotique d'entrepôt un métier de la donnée.", "last_verified": "2026-07-10", "sources": [ { "url": "https://www.iml.fraunhofer.de/en/fields_of_activity/material-flow-systems/iot-and-embedded-systems/research/evobot.html", "publisher": "Fraunhofer IML", "date": "2026-07-10", "fields": [ "flagship_en", "flagship_fr", "focus" ] } ] } ] }