no code implementations • 2 Jul 2023 • Hao-Shu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Chenxi Wang, JunBo Wang, Haoyi Zhu, Cewu Lu
A key challenge in robotic manipulation in open domains is how to acquire diverse and generalizable skills for robots.
no code implementations • CVPR 2023 • Jirong Liu, Ruo Zhang, Hao-Shu Fang, Minghao Gou, Hongjie Fang, Chenxi Wang, Sheng Xu, Hengxu Yan, Cewu Lu
Reactive grasping, which enables the robot to successfully grasp dynamic moving objects, is of great interest in robotics.
1 code implementation • 17 Feb 2022 • Hongjie Fang, Hao-Shu Fang, Sheng Xu, Cewu Lu
However, the majority of current grasping algorithms would fail in this case since they heavily rely on the depth image, while ordinary depth sensors usually fail to produce accurate depth information for transparent objects owing to the reflection and refraction of light.
Ranked #1 on Transparent Object Depth Estimation on TransCG
1 code implementation • ICCV 2021 • Chenxi Wang, Hao-Shu Fang, Minghao Gou, Hongjie Fang, Jin Gao, Cewu Lu
To quickly detect graspness in practice, we develop a neural network named graspness model to approximate the searching process.
Ranked #3 on Robotic Grasping on GraspNet-1Billion