1 citations · 1 across the 3 of their papers we have counts for
4 papers
Global-Local Attention Decomposition for Terrain Encoding in Humanoid Perceptive Locomotion
Shengcheng Fu, Yang Zhang, Zhanxiang Cao +4
Although reinforcement learning has significantly advanced humanoid locomotion, perceptive policies still struggle on sparse-foothold terrain and constrained environments. Success…
Manipulate as Human: Learning Task-oriented Manipulation Skills by Adversarial Motion Priors
Ziqi Ma, Changda Tian, Yue Gao
In recent years, there has been growing interest in developing robots and autonomous systems that can interact with human in a more natural and intuitive way. One of the key challe…
Terrain-adaptive Central Pattern Generators with Reinforcement Learning for Hexapod Locomotion
Qiyue Yang, Yue Gao, Shaoyuan Li
Inspired by biological motion generation, central pattern generators (CPGs) is frequently employed in legged robot locomotion control to produce natural gait pattern with low-dimen…
Generalized Mixture Model for Extreme Events Forecasting in Time Series Data
Jincheng Wang, Yue Gao
Time Series Forecasting (TSF) is a widely researched topic with broad applications in weather forecasting, traffic control, and stock price prediction. Extreme values in time serie…