4 papers
SRL: Combining SLIP Model and Reinforcement Learning for Agile Robotic Jumping
Xiaowen Hu, Linqi Ye, Yudi Zhu +4
Robotic jumping is pivotal in applications such as search and rescue and logistics, where crossing obstacles and enhancing mobility efficiency are critical. The Spring-Loaded Inver…
Awakening Facial Emotional Expressions in Human-Robot
Yongtong Zhu, Lei Li, Iggy Qian +5
The facial expression generation capability of humanoid social robots is critical for achieving natural and human-like interactions, playing a vital role in enhancing the fluidity…
FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction
Yanghai Zhang, Changyi Liu, Keting Fu +3
This paper proposes FABG (Facial Affective Behavior Generation), an end-to-end imitation learning system for human-robot interaction, designed to generate natural and fluid facial…
Catching Spinning Table Tennis Balls in Simulation with End-to-End Curriculum Reinforcement Learning
Xiaoyi Hu, Yue Mao, Gang Wang +3
The game of table tennis is renowned for its extremely high spin rate, but most table tennis robots today struggle to handle balls with such rapid spin. To address this issue, we h…