Research
Advancing Physical AI.
Research at Tessoryn focuses on the systems required for machines to understand, reason about and operate in the physical world.
World Models
Persistent representations of geometry, semantics, dynamics and uncertainty.
Robot Learning
Learning useful behavior from interaction with physical environments.
Embodied Foundation Models
General-purpose models connecting perception, reasoning and robot action.
Spatial Intelligence
Understanding geometry, relationships, memory and change.
Generalization
Transfer across objects, tasks, environments and embodiments.
Adaptive Control
Real-time execution that responds to physical uncertainty.
Manipulation
Reliable interaction with objects, tools and environments.
Simulation-to-Real
Bridging learned behavior into real-world operation.
Continuous Learning
Improving models and behavior from deployment experience.
Publications
Research publications coming soon.