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pro vyhledávání: '"Qianen Lai"'
We focus on the task of goal-oriented grasping, in which a robot is supposed to grasp a pre-assigned goal object in clutter and needs some pre-grasp actions such as pushes to enable stable grasps. However, in this task, the robot gets positive reward
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6f11f842777ce9eca6c6d885bab6109
A mechanism to derive nonrepetitive coverage path solutions with a proven minimal number of discontinuities is proposed in this work, with the aim to avoid unnecessary, costly end-effector lift-offs for manipulators. The problem is motivated by the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab108f9efd7bf3181e9f32e17d2eab53
https://hdl.handle.net/10453/148470
https://hdl.handle.net/10453/148470
Publikováno v:
ROBIO
Robotic grasping has been regarded as an essential way for robots to interact with the environment, which makes it a research hotspot. To our knowledge, current work on grasp planning could rarely take both robustness and time efficiency into account