The Task Decomposition and Dedicated Reward-System-Based Reinforcement Learning Algorithm for Pick-and-Place

This paper proposes a task decomposition and dedicated reward-system-based reinforcement learning algorithm for the Pick-and-Place task, which is one of the high-level tasks of robot manipulators. The proposed method decomposes the Pick-and-Place task into three subtasks: two reaching tasks and one...

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Detalhes bibliográficos

Principais autores:	Byeongjun Kim, Gunam Kwon, Chaneun Park, Nam Kyu Kwon
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-06-01
Colecção:	Biomimetics
Assuntos:	deep reinforcement learning Soft Actor-Critic Pick-and-Place task decomposition robot manipulator
Acesso em linha:	https://www.mdpi.com/2313-7673/8/2/240
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