SEEC: Stable End-Effector Control with Model-Enhanced Residual Learning for Humanoid Loco-Manipulation
The arXiv paper studies stable end-effector control for humanoid loco-manipulation on Booster T1.
Evidence notes
- The study’s named evaluation platform is Booster T1 from Booster Robotics.
Company context
Booster Robotics builds humanoid robot platforms and developer tooling for research, education, competitions and embodied AI experimentation. Its T1 and K1 systems are designed to be accessible and extensible.