activity
20172020
most citedCombining Trajectory Optimization, Supervised Machine Learning, and Model Structure for Mitigating the Curse of Dimensionality in the Control of Bipedal Robots

8 citations · 16 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO20206 cited

Dynamics Randomization Revisited:A Case Study for Quadrupedal Locomotion

Zhaoming Xie, Xingye Da, Michiel van de Panne +2

Understanding the gap between simulation and reality is critical for reinforcement learning with legged robots, which are largely trained in simulation. However, recent work has re…

cs.RO2020

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion

Xingye Da, Zhaoming Xie, David Hoeller +5

We present a hierarchical framework that combines model-based control and reinforcement learning (RL) to synthesize robust controllers for a quadruped (the Unitree Laikago). The sy…

cs.RO20192 cited

Impact-Aware Online Motion Planning for Fully-Actuated Bipedal Robot Walking

Yuan Gao, Xingye Da, Yan Gu

The ability to track a general walking path with specific timing is crucial to the operational safety and reliability of bipedal robots for avoiding dynamic obstacles, such as pede…

cs.RO2018

Feedback Control of a Cassie Bipedal Robot: Walking, Standing, and Riding a Segway

Yukai Gong, Ross Hartley, Xingye Da +4

The Cassie bipedal robot designed by Agility Robotics is providing academics a common platform for sharing and comparing algorithms for locomotion, perception, and navigation. This…

math.DS20178 cited

Combining Trajectory Optimization, Supervised Machine Learning, and Model Structure for Mitigating the Curse of Dimensionality in the Control of Bipedal Robots

Xingye Da, Jessy Grizzle

To overcome the obstructions imposed by high-dimensional bipedal models, we embed a stable walking motion in an attractive low-dimensional surface of the system's state space. The…