See beyond pixels.
Multimodal perception
Fuse vision, language, audio, proprioception, and robot sensor streams into a shared representation of the world.
MODELS
Teaching machines to understand the physical world.
Our models connect vision, sound, spatial reasoning, touch, planning, and control in a shared foundation for embodied intelligence.
MULTIMODAL DATA FLOW
LanguageRGBDepthAudioProprioceptionTouchFoundation
modelPlan + Action
See the research-to-deployment stack ->modelPlan + Action
TACTILE FEEDBACK / CLOSED LOOP
Contact closes the loop.
Force, pressure, and slip reveal what vision alone cannot. Tactile feedback lets a robot correct its grasp while the interaction is still unfolding.
Understand space.
Depth & spatial intelligence
Reason about geometry, scale, distance, surfaces, and occlusion so robots can operate precisely in three dimensions.
Hear beyond words.
Audio & acoustic intelligence
Understand speech, environmental sound, impacts, alarms, and machine acoustics as part of the robot's physical context.
Feel every contact.
Touch & tactile intelligence
Interpret force, pressure, slip, and texture to continuously refine grasps and physical interactions.
Anticipate what comes next.
World understanding
Model physical consequences, understand affordances, and maintain context through long-horizon tasks.
Turn intent into action.
Generalist robot control
Translate multimodal understanding into adaptive actions across robots, tasks, and environments.
OUR PRINCIPLES
Cross-embodiment generalization
Data-efficient adaptation
Closed-loop multimodal feedback
Simulation-to-reality transfer
Explainable, responsible behavior
PUBLICATIONS