Cargando…

Multi-Objective Optimal Trajectory Planning for Robotic Arms Using Deep Reinforcement Learning

This study investigated the trajectory-planning problem of a six-axis robotic arm based on deep reinforcement learning. Taking into account several characteristics of robot motion, a multi-objective optimization approach is proposed, which was based on the motivations of deep reinforcement learning...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Shaobo, Xia, Qinxiang, Chen, Mingxing, Cheng, Sizhu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346668/ https://www.ncbi.nlm.nih.gov/pubmed/37447823 http://dx.doi.org/10.3390/s23135974

Ejemplares similares

Dual-Arm Robot Trajectory Planning Based on Deep Reinforcement Learning under Complex Environment
por: Tang, Wanxing, et al.
Publicado: (2022)

Planning Fail-Safe Trajectories for Space Robotic Arms
por: Porges, Oliver, et al.
Publicado: (2021)

Deep Reinforcement Learning Based Trajectory Planning Under Uncertain Constraints
por: Chen, Lienhung, et al.
Publicado: (2022)

Deep Reinforcement Learning for Indoor Mobile Robot Path Planning
por: Gao, Junli, et al.
Publicado: (2020)

A Multitasking-Oriented Robot Arm Motion Planning Scheme Based on Deep Reinforcement Learning and Twin Synchro-Control
por: Liu, Chuzhao, et al.
Publicado: (2020)

GadgetArm—Automatic Grasp Generation and Manipulation of 4-DOF Robot Arm for Arbitrary Objects Through Reinforcement Learning
por: Park, JoungMin, et al.
Publicado: (2020)

Improved Robot Path Planning Method Based on Deep Reinforcement Learning
por: Han, Huiyan, et al.
Publicado: (2023)

Multi-Objective Optimization of Energy Saving and Throughput in Heterogeneous Networks Using Deep Reinforcement Learning
por: Ryu, Kyungho, et al.
Publicado: (2021)

Path Planning for Multi-Arm Manipulators Using Deep Reinforcement Learning: Soft Actor–Critic with Hindsight Experience Replay
por: Prianto, Evan, et al.
Publicado: (2020)

Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey
por: Orr, James, et al.
Publicado: (2023)

Intelligent Land-Vehicle Model Transfer Trajectory Planning Method Based on Deep Reinforcement Learning
por: Yu, Lingli, et al.
Publicado: (2018)

Trajectory Planning of Robot Manipulator Based on RBF Neural Network
por: Song, Qisong, et al.
Publicado: (2021)

Reinforcement Learning-Based Multi-AUV Adaptive Trajectory Planning for Under-Ice Field Estimation
por: Wang, Chaofeng, et al.
Publicado: (2018)

Prehensile and Non-Prehensile Robotic Pick-and-Place of Objects in Clutter Using Deep Reinforcement Learning
por: Imtiaz, Muhammad Babar, et al.
Publicado: (2023)

Hierarchical Trajectory Planning for Narrow-Space Automated Parking with Deep Reinforcement Learning: A Federated Learning Scheme
por: Yuan, Zheng, et al.
Publicado: (2023)

Characterization of continuum robot arms under reinforcement learning and derived improvements
por: Morimoto, Ryota, et al.
Publicado: (2022)

Path planning for autonomous mobile robots using multi-objective evolutionary particle swarm optimization
por: Thammachantuek, Ittikon, et al.
Publicado: (2022)

A Critical Period for Robust Curriculum‐Based Deep Reinforcement Learning of Sequential Action in a Robot Arm
por: de Kleijn, Roy, et al.
Publicado: (2022)

Intelligent Trajectory Tracking Behavior of a Multi-Joint Robotic Arm via Genetic–Swarm Optimization for the Inverse Kinematic Solution
por: Soleimani Amiri, Mohammad, et al.
Publicado: (2021)

A Multi-Objective Approach for Optimal Energy Management in Smart Home Using the Reinforcement Learning
por: Diyan, Muhammad, et al.
Publicado: (2020)

Deep Reinforcement Learning for Joint Trajectory Planning, Transmission Scheduling, and Access Control in UAV-Assisted Wireless Sensor Networks
por: Luo, Xiaoling, et al.
Publicado: (2023)

Design Optimization of a Pneumatic Soft Robotic Actuator Using Model-Based Optimization and Deep Reinforcement Learning
por: Raeisinezhad, Mahsa, et al.
Publicado: (2021)

Computational Optimization of Image-Based Reinforcement Learning for Robotics
por: Ferraro, Stefano, et al.
Publicado: (2022)

Multi-UAV Cooperative Trajectory Planning Based on the Modified Cheetah Optimization Algorithm
por: Fu, Yuwen, et al.
Publicado: (2023)

Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning
por: Hua, Jiang, et al.
Publicado: (2021)

Underwater Robot Task Planning Using Multi-Objective Meta-Heuristics
por: Landa-Torres, Itziar, et al.
Publicado: (2017)

Object Manipulation with an Anthropomorphic Robotic Hand via Deep Reinforcement Learning with a Synergy Space of Natural Hand Poses
por: Rivera, Patricio, et al.
Publicado: (2021)

The Path Planning of Mobile Robot by Neural Networks and Hierarchical Reinforcement Learning
por: Yu, Jinglun, et al.
Publicado: (2020)

The Intelligent Path Planning System of Agricultural Robot via Reinforcement Learning
por: Yang, Jiachen, et al.
Publicado: (2022)

A hybrid multi objective cellular spotted hyena optimizer for wellbore trajectory optimization
por: Biswas, Kallol, et al.
Publicado: (2022)

A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation
por: Han, Dong, et al.
Publicado: (2023)

Table-Balancing Cooperative Robot Based on Deep Reinforcement Learning
por: Kim, Yewon, et al.
Publicado: (2023)

Controlling the Solo12 quadruped robot with deep reinforcement learning
por: Aractingi, Michel, et al.
Publicado: (2023)

Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning
por: Denizdurduran, Berat, et al.
Publicado: (2022)

Optimizing Chemical Reactions with Deep Reinforcement Learning
por: Zhou, Zhenpeng, et al.
Publicado: (2017)

Optimization of Molecules via Deep Reinforcement Learning
por: Zhou, Zhenpeng, et al.
Publicado: (2019)

Modular Robots + Synchronous Robots + Multi-arm Robots
por: Buckingham, Rob
Publicado: (2003)

Distributed Non-Communicating Multi-Robot Collision Avoidance via Map-Based Deep Reinforcement Learning
por: Chen, Guangda, et al.
Publicado: (2020)

Deep Reinforcement Learning for UAV Trajectory Design Considering Mobile Ground Users
por: Lee, Wonseok, et al.
Publicado: (2021)

A Multi-AUV Maritime Target Search Method for Moving and Invisible Objects Based on Multi-Agent Deep Reinforcement Learning
por: Wang, Guangcheng, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_q0bta10bhv10v6r275fgtarh2j