3 code implementations • 23 Mar 2019 • Tingguang Li, Danny Ho, Chenming Li, Delong Zhu, Chaoqun Wang, Max Q. -H. Meng
As one of the most promising areas, mobile robots draw much attention these years.
Robotics
1 code implementation • 24 Oct 2019 • Tingguang Li, Krishnan Srinivasan, Max Qing-Hu Meng, Wenzhen Yuan, Jeannette Bohg
Finally, we show how our approach generalizes to objects of other shapes.
1 code implementation • 26 Jul 2019 • Tingguang Li, Weitao Xi, Meng Fang, Jia Xu, Max Qing-Hu Meng
We present a learning-based approach to solving a Rubik's cube with a multi-fingered dexterous hand.
Robotics
no code implementations • 30 Jul 2018 • Tingguang Li, Jin Pan, Delong Zhu, Max Q. -H. Meng
Our architecture has two key components: options, represented by existing human-designed methods, can significantly speed up the training process and interruption mechanism, based on learnable termination functions, enables our system to quickly respond to the external environment.
Efficient Exploration Hierarchical Reinforcement Learning +3
no code implementations • 30 Mar 2022 • Yingtian Tang, Jiangtao Liu, Cheng Zhou, Tingguang Li
Motion style transfer is highly desired for motion generation systems for gaming.
no code implementations • 27 Sep 2022 • Weiqiang Wang, Xuefei Zhe, Qiuhong Ke, Di Kang, Tingguang Li, Ruizhi Chen, Linchao Bao
Along with the novel system, we also present a new dataset dedicated to the multi-action motion synthesis task, which contains both action tags and their contextual information.
no code implementations • 29 Aug 2023 • Lei Han, Qingxu Zhu, Jiapeng Sheng, Chong Zhang, Tingguang Li, Yizheng Zhang, He Zhang, Yuzhen Liu, Cheng Zhou, Rui Zhao, Jie Li, Yufeng Zhang, Rui Wang, Wanchao Chi, Xiong Li, Yonghui Zhu, Lingzhu Xiang, Xiao Teng, Zhengyou Zhang
In this work, we propose a framework for driving legged robots act like real animals with lifelike agility and strategy in complex environments.