Human-to-Robot Handover Based on Reinforcement Learning

This study explores manipulator control using reinforcement learning, specifically targeting anthropomorphic gripper-equipped robots, with the objective of enhancing the robots’ ability to safely exchange diverse objects with humans during human–robot interactions (HRIs). The study integrates an ada...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Myunghyun Kim, Sungwoo Yang, Beomjoon Kim, Jinyeob Kim, Donghan Kim
Format:	Article
Language:	English
Published:	MDPI AG 2024-09-01
Subjects:	reinforcement learning manipulator anthropomorphic gripper handover
Online Access:	https://www.mdpi.com/1424-8220/24/19/6275