Search Results for author: Xingye Da

Found 3 papers, 1 papers with code

GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model

no code implementations20 Apr 2021 Zhaoming Xie, Xingye Da, Buck Babich, Animesh Garg, Michiel Van de Panne

Model-free reinforcement learning (RL) for legged locomotion commonly relies on a physics simulator that can accurately predict the behaviors of every degree of freedom of the robot.

Model Predictive Control Reinforcement Learning (RL)

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

no code implementations21 Sep 2020 Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Animashree Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg

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

reinforcement-learning Reinforcement Learning (RL)

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

1 code implementation19 Sep 2018 Yukai Gong, Ross Hartley, Xingye Da, Ayonga Hereid, Omar Harib, Jiunn-Kai Huang, Jessy Grizzle

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

Robotics Optimization and Control

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