Reinforcement Learning for Pick and Place Operations in Robotics: A Survey

Reinforcement Learning for Pick and Place Operations in Robotics: A Survey

The field of robotics has been rapidly developing in recent years, and the work related to training robotic agents with reinforcement learning has been a major focus of research. This survey reviews the application of reinforcement learning for pick-and-place operations, a task that a logistics robo...

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Bibliographic Details
Main Authors: Andrew Lobbezoo, Yanjun Qian, Hyock-Ju Kwon
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Robotics
Subjects:
reinforcement learning
Markov decision process
policy optimization
robotic control
simulation environment
pose estimation
Online Access:https://www.mdpi.com/2218-6581/10/3/105

Internet

https://www.mdpi.com/2218-6581/10/3/105

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