Robot Platforms and Locomotion

Building quadrupeds and the control that makes them robust in hardware

← Back to research themes

Design and co-design claims only mean something once a robot survives contact with the floor. This theme covers the platforms built to test them — quadrupeds designed for serviceability and repeatable experiments — together with the locomotion controllers that run on them. The recurring question is which modelling and control choices still hold up once real actuators, real compliance, and real impacts are in the loop.

Representative Projects

A Chain-Driven, Sandwich-Legged Quadruped Robot

A Chain-Driven, Sandwich-Legged Quadruped Robot

TODO: ~45 words. The design and experimental analysis of Stoch 3. Say what the chain drive and sandwich leg structure buy you — inertia, robustness, serviceability — and what the hardware experiments demonstrated.

Force Control for Robust Quadruped Locomotion

Force Control for Robust Quadruped Locomotion

TODO: ~45 words. A linear policy approach to force control for quadruped locomotion. Explain why a linear policy is worth preferring here, and what robustness it bought on hardware compared to the alternatives.

Dynamic Mirror Descent MPC for Accelerating Robot Learning

Dynamic Mirror Descent MPC for Accelerating Robot Learning

TODO: ~45 words. Model predictive control built on dynamic mirror descent to speed up robot learning. State the sample-efficiency problem it attacks and the gain it delivered.

References