1 citations · 1 across the 12 of their papers we have counts for
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MBC: Multi-Brain Collaborative Control for Quadruped Robots
Hang Liu, Yi Cheng, Rankun Li +3
In the field of locomotion task of quadruped robots, Blind Policy and Perceptive Policy each have their own advantages and limitations. The Blind Policy relies on preset sensor inf…
CushionCatch: A Compliant Catching Mechanism for Mobile Manipulators via Combined Optimization and Learning
Bingjie Chen, Keyu Fan, Qi Yang +6
Catching flying objects with a cushioning process is a skill commonly performed by humans, yet it remains a significant challenge for robots. In this paper, we present a framework…
Structural Optimization of Lightweight Bipedal Robot via SERL
Yi Cheng, Chenxi Han, Yuheng Min +3
Designing a bipedal robot is a complex and challenging task, especially when dealing with a multitude of structural parameters. Traditional design methods often rely on human intui…
Agile and versatile bipedal robot tracking control through reinforcement learning
Jiayi Li, Linqi Ye, Yi Cheng +2
The remarkable athletic intelligence displayed by humans in complex dynamic movements such as dancing and gymnastics suggests that the balance mechanism in biological beings is dec…
Quadruped robot traversing 3D complex environments with limited perception
Yi Cheng, Hang Liu, Guoping Pan +3
Traversing 3-D complex environments has always been a significant challenge for legged locomotion. Existing methods typically rely on external sensors such as vision and lidar to p…