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...

Celý popis

Podrobná bibliografia

Vydané v:	Chinese Control Conference s. 8411 - 8416
Hlavní autori:	Liu, Xinqi, Chai, Runqi, Wang, Shuo, Chai, Senchun, Xia, Yuanqing
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
Predmet:	Adaptation models Adaptive systems Big Data in Robotics and Automation Clutter Force Grasping Reinforcement Learning Robotics Control Robots Vision Perception
ISSN:	1934-1768
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!