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Binglei Zhao

3 accepted papers

2022

REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter

RA-L 2022

Despite the impressive progress achieved in robotic grasping, robots are not skilled in sophisticated tasks (e.g. search and grasp a specified target in clutter). Such tasks involve not only grasping but the comprehensive perception of the world (e.g. the object relationships). Recently, encouraging

Cited by 51SourcecodeScholar
2021

REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds

ICRA 2021poster

Reliable robotic grasping in unstructured environments is a crucial but challenging task. The main problem is to generate the optimal grasp of novel objects from partial noisy observations. This paper presents an end-to-end grasp detection network taking one single-view point cloud as input to tackl…

Cited by 104SourcecodeScholar