3 articles tagged with #whole-body-control. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Researchers introduce HANDOFF, a humanoid robot whole-body controller that uses distilled multi-teacher learning to enable intuitive task planning and robust manipulation. The system demonstrates real-world feasibility on Unitree G1 robots with natural language task execution, advancing practical deployment of humanoid robots in complex environments.
Researchers developed a bio-inspired whole-body control system (IO-WBC) for humanoid robots that enables stable object transport in unstructured environments. The system separates upper-body interaction control from lower-body balance control and uses reinforcement learning to handle heavy loads and disturbances.
Researchers introduce EAGLE, a reinforcement learning framework that creates unified control policies for multiple different humanoid robots without per-robot tuning. The system uses iterative generalist-specialist distillation to enable a single AI controller to manage diverse humanoid embodiments and support complex behaviors beyond basic walking.
