1 code implementation • 22 Jul 2022 • Hao Meng, Sheng Jin, Wentao Liu, Chen Qian, Mengxiang Lin, Wanli Ouyang, Ping Luo
Unlike most previous works that directly predict the 3D poses of two interacting hands simultaneously, we propose to decompose the challenging interacting hand pose estimation task and estimate the pose of each hand separately.
1 code implementation • 14 Oct 2020 • Zhixin Chen, Mengxiang Lin
The application of reinforcement learning (RL) in robotic control is still limited in the environments with sparse and delayed rewards.
no code implementations • 2 Jul 2020 • Zhixin Chen, Mengxiang Lin, Zhixin Jia, Shibo Jian
In this paper, we propose a DRL based robotic visual grasping framework, in which visual perception and control policy are trained separately rather than end-to-end.
Robotics
no code implementations • 1 Mar 2020 • Zhixin Jia, Mengxiang Lin, Zhixin Chen, Shibo Jian
We evaluate our approach in a real-world robot, using several simple and complex manipulation tasks commonly performed in daily life.
Robotics