Planning for grasping cluttered objects based on obstruction degree. (29th November 2021)

• Record Type: Journal Article
• Authors: Zhao, Wenrui; Wang, Jingchuan; Chen, Weidong; Huang, Yi
• Is Part Of: International journal of advanced robotic systems. Volume 18:Number 6(2021)
• Publication Date: 2021-11-29
• Subjects: Grasp planning -- grasp order -- grasp configuration -- clutter -- object interaction; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.1177/17298814211040632
• Languages: English
• ISSNs: 1729-8806

Abstract

Grasping objects in clutter is more difficult than grasping a separated single object. An important issue is that unsafe grasps may occur, in case, one object sits or leans on another, which could cause the collapse of objects. In addition, reachability of each object surrounded by other obstacles also has to be considered. So the order of multiple objects for grasping and the grasp configuration of each object must be planned simultaneously. This article combines grasp order and grasp configuration planning to perform fast and safe multiobject grasping in cluttered scenes. First, a comprehensive grasp configuration database is built to provide enough feasible grasp configurations for the objects. Then, we propose an obstruction degree to estimate the likelihood of reachability of each grasp configuration as well as each object. This measurement also implicitly infers object interactions. Finally, grasp order and grasp configurations are planned together to deal with the constraints caused by reachability and object interaction. Simulations and experiments in a series of cluttered scenes demonstrate that our method can grasp objects efficiently and can greatly reduce unsafe grasps.