Humanoid locomotion
Robust walking and landing stabilization on uneven terrain through impedance, admittance, and momentum-aware control.
01 / Research
The work connects dynamics, sensing, and optimization around one practical question: how can a robot remain stable and useful when the world is uncertain?
Robust walking and landing stabilization on uneven terrain through impedance, admittance, and momentum-aware control.
Task-space formulations and constrained optimization for articulated robots whose motion, balance, and contact forces must be solved together.
Force-aware robotic hands, dual-arm teaching, and physical interaction that translate human intent into controlled robot motion.
Selected systems
Feedback, dynamics, and constrained control recur across every platform.
Legged systems
Whole-body walking and landing controllers that coordinate momentum, foot contact, and compliant response when terrain does not match the model.
Watch research video ↗Wheeled systems
Projected task-space dynamics with inequality constraints for a dynamically balancing platform under contact-force objectives.
Read paper ↓Manipulation
Multi-finger force control and whole-body direct teaching for robots that must manipulate, interact, and preserve balance at the same time.
Watch research video ↗