1 code implementation • 12 Jul 2023 • Junjia Liu, Hengyi Sim, Chenzui Li, Fei Chen
We demonstrate the method using synthetic motions and human demonstration data and deploy it to a humanoid robot to perform a generalized bimanual coordination motion.
1 code implementation • 22 Jun 2023 • Junjia Liu, Zhihao LI, WanYu Lin, Sylvain Calinon, Kay Chen Tan, Fei Chen
Soft object manipulation tasks in domestic scenes pose a significant challenge for existing robotic skill learning techniques due to their complex dynamics and variable shape characteristics.
no code implementations • 6 Jan 2023 • Junjia Liu, Jianfei Guo, Zehui Meng, Jingtao Xue
However, most of them obtain robot actions directly from observations in an end-to-end manner via an incomplete relation graph, which is not interpretable and reliable.
1 code implementation • 12 May 2022 • Junjia Liu, Yiting Chen, Zhipeng Dong, Shixiong Wang, Sylvain Calinon, Miao Li, Fei Chen
This letter describes an approach to achieve well-known Chinese cooking art stir-fry on a bimanual robot system.
no code implementations • 7 Mar 2020 • Huimin Zhang, Yafei Wang, Junjia Liu, Chengwei Li, Taiyuan Ma, Chengliang Yin
Secondly, the LSTM encoder is used to encode the historical sequences composed of the vehicle descriptor and a novel dilated convolutional social pooling is proposed to improve modeling vehicles' spatial interactions.
1 code implementation • 27 Feb 2020 • Junjia Liu, Huimin Zhang, Zhuang Fu, Yao Wang
By extending the idea of Markov Chain to the dimension of space-time, this truly decentralized coordination mechanism replaces the graph attention method and realizes the decoupling of the road network, which is more scalable and more in line with practice.
1 code implementation • 26 Feb 2020 • Junjia Liu, Jiaying Shou, Zhuang Fu, Hangfei Zhou, Rongli Xie, Jun Zhang, Jian Fei, Yanna Zhao
Moreover, recent reinforcement learning methods are data-inefficient and can not be directly deployed to the robot without simulation.