Humanoid soccer contact skills require more than producing high-impact foot-ball contacts: the robot must close the loop over perception, approach, alignment, impact, and recovery while its own motion induces substantial viewpoint changes, frequent loss of the ball from view, and uncertain contact outcomes. In this wor...
Jia-Kang Jin, Yi-Xiao Huo, Peng-Yuan Wang et al.· 0 citations
SkillX is presented, a unified reinforcement learning framework that learns and composes multiple atomic soccer skills through a single command-conditioned policy, enabling the robot to execute atomic skills and transition among them such as dribbling, trapping, and shooting.
Zhang-Chen Ye, En-Xuan Ruan, Yi-Fei Bao et al.· 2 citations
This study introduces an innovative framework for anomaly detection and handling in multi-robot collaboration within scientific laboratories, addressing challenges posed by complex procedures and precision equipment. We propose a hierarchical approach utilizing large language models (LLMs) for task planning, action dec...
Yang Yang, Jian-Kun Yang, Hai-Bo Lu et al.· IEEE Transactions on Automat...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
