17 citations · 41 across the 13 of their papers we have counts for
15 papers · 1 filter
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
Zhongyu Li, Jun Zeng, Akshay Thirugnanam +1
Bridging model-based safety and model-free reinforcement learning (RL) for dynamic robots is appealing since model-based methods are able to provide formal safety guarantees, while…
Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter Learning for Bipedal Locomotion Control
Lizhi Yang, Zhongyu Li, Jun Zeng +1
In this paper, we propose a multi-domain control parameter learning framework that combines Bayesian Optimization (BO) and Hybrid Zero Dynamics (HZD) for locomotion control of bipe…
Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots
Jason J. Choi, Ayush Agrawal, Koushil Sreenath +2
Contact-rich robotic systems, such as legged robots and manipulators, are often represented as hybrid systems. However, the stability analysis and region-of-attraction computation…
Real-time Geo-localization Using Satellite Imagery and Topography for Unmanned Aerial Vehicles
Shuxiao Chen, Xiangyu Wu, Mark W. Mueller +1
The capabilities of autonomous flight with unmanned aerial vehicles (UAVs) have significantly increased in recent times. However, basic problems such as fast and robust geo-localiz…
Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles
Scott Gilroy, Derek Lau, Lizhi Yang +8
Quadrupeds are strong candidates for navigating challenging environments because of their agile and dynamic designs. This paper presents a methodology that extends the range of exp…
Legged Robot State Estimation in Slippery Environments Using Invariant Extended Kalman Filter with Velocity Update
Sangli Teng, Mark Wilfried Mueller, Koushil Sreenath
This paper proposes a state estimator for legged robots operating in slippery environments. An Invariant Extended Kalman Filter (InEKF) is implemented to fuse inertial and velocity…