Vision Perception-based Adaptive Pushing Assisted Grasping Network for Dense Clutters

During the execution of a robotic grasping task, the task may fail due to the close proximity of multiple objects if grasping is the only motion primitive. Non-prehensile manipulations, such as pushing, can be used to rearrange objects and benefit grasping. Varying pushing actions with different spe...

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Veröffentlicht in:	Chinese Control Conference S. 8411 - 8416
Hauptverfasser:	Liu, Xinqi, Chai, Runqi, Wang, Shuo, Chai, Senchun, Xia, Yuanqing
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
Schlagworte:	Adaptation models Adaptive systems Big Data in Robotics and Automation Clutter Force Grasping Reinforcement Learning Robotics Control Robots Vision Perception
ISSN:	1934-1768
Online-Zugang:	Volltext
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