Offline optimization paradigms such as offline Reinforcement Learning (R...
Sums-of-squares (SOS) optimization is a promising tool to synthesize
cer...
Understanding the geometry of collision-free configuration space (C-free...
Simulation parameter settings such as contact models and object geometry...
Control Lyapunov functions (CLFs) and control barrier functions (CBFs) a...
Configuration space (C-space) has played a central role in collision-fre...
Deep learning has had a far reaching impact in robotics. Specifically, d...
Traditional motion planning approaches for multi-legged locomotion divid...
Caging is a promising tool which allows a robot to manipulate an object
...
Motion planning in multi-contact scenarios has recently gathered interes...
The motivation of our current research is to devise motion planners for
...