Features
Physical world foundation model for robot control
Multi-task learning across manipulation, locomotion, and navigation
Simulation-to-real transfer with domain randomization
Hardware-agnostic deployment via unified API
Real-time perception and motion planning
Generative trajectory prediction
Zero-shot transfer to new environments
Safety constraints with conformal prediction
Model fine-tuning on custom tasks using few demonstrations
Integration with ROS 2 and industrial controllers
Cloud-based training infrastructure
Edge deployment on embedded systems
Direct Video Action (DVA) model architecture for generalist robot policies
Web-scale video pre-training on over 1 million videos
Post-training on just 1-10 hours of trajectory data
FutureVision video-predictive control for unseen task generalization
Long-context memory retention for in-context learning
Single-shot task execution from human demonstrations without retraining
Custom robot platform with 25kg rated (40kg peak) payload
Safety-rated brakes in every actuator
3 years continuous operation at rated payload
Returns processing automation for logistics
Bearing decanting for automotive assembly
Contico box breakdown and debris clearance in manufacturing
Full-stack hardware+software solution for heavy-duty factory automation
Vision-based safety rated through safety-rated vision
High component stiffness and linear response for precise control
