Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments

1 code implementation • 19 Sep 2022 • Mingyo Seo, Ryan Gupta, Yifeng Zhu, Alexy Skoutnev, Luis Sentis, Yuke Zhu

We present a hierarchical learning framework, named PRELUDE, which decomposes the problem of perceptive locomotion into high-level decision-making to predict navigation commands and low-level gait generation to realize the target commands.

Imitation Learning Reinforcement Learning (RL)

Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report

no code implementations • 14 Sep 2019 • Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin W. Hart, Luis Sentis, Peter Stone

RoboCup@Home is an international robotics competition based on domestic tasks requiring autonomous capabilities pertaining to a large variety of AI technologies.