Robot path planner based on deep reinforcement learning and the seeker optimization algorithm

Author:

Xing Xiangrui,Ding Hongwei,Liang Zhuguan,Li Bo,Yang Zhijun

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference49 articles.

1. Sampling-based robot motion planning: a review;Elbanhawi;IEEE Access,2014

2. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection;Levine;Int J Robot Res,2018

3. Deep reinforcement learning that matters;Henderson,2018

4. Design and performance analysis of global path planning techniques for autonomous mobile robots in grid environments;Chaari;Int J Adv Robot Syst,2017

5. Robotic indoor path planning using dijkstra’s algorithm with multi-layer dictionaries;Fadzli,2015

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2. Research on Control Strategy of Manipulator Based on Deep Reinforcement Learning;Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms;2023-07-21

3. A Survey on Path Planning for Mobile Robot Systems;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12

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