2 citations · 2 across the 2 of their papers we have counts for
6 papers
EvoGymCM: Harnessing Continuous Material Stiffness for Soft Robot Co-Design
Le Shen, Kangyao Huang, Wentao Zhao +1
In the automated co-design of soft robots, precisely adapting the material stiffness field to task environments is crucial for unlocking their full physical potential. However, mai…
Towards Task-Oriented Flying: Framework, Infrastructure, and Principles
Kangyao Huang, Hao Wang, Jingyu Chen +6
Deploying robot learning methods to aerial robots in unstructured environments remains both challenging and promising. While recent advances in deep reinforcement learning (DRL) ha…
Learning a Distributed Hierarchical Locomotion Controller for Embodied Cooperation
Chuye Hong, Kangyao Huang, Huaping Liu
In this work, we propose a distributed hierarchical locomotion control strategy for whole-body cooperation and demonstrate the potential for migration into large numbers of agents.…
CompetEvo: Towards Morphological Evolution from Competition
Kangyao Huang, Di Guo, Xinyu Zhang +2
Training an agent to adapt to specific tasks through co-optimization of morphology and control has widely attracted attention. However, whether there exists an optimal configuratio…
Stimulate the Potential of Robots via Competition
Kangyao Huang, Di Guo, Xinyu Zhang +2
It is common for us to feel pressure in a competition environment, which arises from the desire to obtain success comparing with other individuals or opponents. Although we might g…
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
Xin Gao, Tianheng Qiu, Xinyu Zhang +6
Coarse-to-fine schemes are widely used in traditional single-image motion deblur; however, in the context of deep learning, existing multi-scale algorithms not only require the use…