Organization
Google DeepMind
World models, robot learning, VLA systems, embodied reasoning
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Companies and laboratories
Profiles of organizations publishing foundational work in robotics, embodied AI, world models, simulation, and VLA systems.
Organization
Meta AI
Embodied perception, video prediction, egocentric AI
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NVIDIA
Robot foundation models, simulation, synthetic data, edge deployment, and functional safety
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OpenAI
General-purpose AI, reinforcement learning, robotics research
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Tesla AI
Autonomy, vision-based driving, humanoid robotics
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Figure AI
General-purpose humanoid robots and onboard VLA systems
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Physical Intelligence
Generalist robot foundation models
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Covariant
AI robotics for warehouse manipulation
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Boston Dynamics
Dynamic mobile robots and manipulation
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Toyota Research Institute
Robot learning, manipulation, human-centered AI
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Stanford Robotics
Robot learning, foundation models, manipulation
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Berkeley AI Research
Robot learning, control, reinforcement learning
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Wayve
Embodied AI for autonomous driving
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World Labs
Spatial intelligence, multimodal world models, generative 3D environments
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Skild AI
General-purpose robotic brain trained across tasks, embodiments, and human videos
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1X Technologies
Home humanoid robots, Redwood AI, real-world supervision and learning
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Apptronik
General-purpose humanoid robots and embodied AI with Google DeepMind
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Agility Robotics
Production humanoid robots for logistics and industrial workflows
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Sanctuary AI
Industrial-grade humanoid robots and Carbon AI control system
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Unitree Robotics
Humanoid and quadruped robots with imitation and reinforcement learning workflows
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Fourier Robotics
Humanoid and rehabilitation robots for embodied AI applications
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Encord
Multimodal data infrastructure for physical AI, VLA data, video, LiDAR, and robotics datasets
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Labelbox
Sensor and robotics data labeling for video, images, and computer vision pipelines
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Scale AI
Large-scale data labeling, video annotation, sensor fusion, and human-in-the-loop data operations
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Sama
Human-in-the-loop data annotation for video, computer vision, and multimodal AI
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Appen
Multimodal training data for VLMs, video understanding, audio-visual alignment, and physical AI
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Label Studio
Open-source multimodal data labeling and AI evaluation workflows
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