STACK LAYER
Data engine
Curate real demonstrations, multimodal trajectories, and reusable training corpora that preserve physical context.
- Inputs
- Robot demonstrations / Human data / Sensor streams
- Output
- Training datasets
Private briefing ->OUR STACK
A connected research-to-deployment system for building robots that see, hear, feel, reason, and improve through real-world feedback.
CLOSED-LOOP ARCHITECTURE
Data and simulation create experience. Multimodal sensing grounds it. Foundation intelligence turns it into plans. Runtime control produces action, and deployment returns new evidence to the system.
STACK LAYER
Curate real demonstrations, multimodal trajectories, and reusable training corpora that preserve physical context.
STACK LAYER
Generate scalable experience, explore edge cases, and validate behavior in physics-grounded virtual environments.
STACK LAYER
Synchronize RGB, depth, audio, touch, force, and proprioception into a shared observation of the world.
STACK LAYER
Learn shared representations for physical reasoning, memory, prediction, planning, and action generation.
STACK LAYER
Adapt general models to new robots and tasks, then execute them through latency-aware closed-loop control.
STACK LAYER
Integrate intelligence with physical embodiments and return real-world outcomes to the learning system.
STATUS LANGUAGE
Active researchA current BotForge research focus.
In developmentBeing developed; not publicly released.
PlannedPart of the intended architecture.