The Optimal Global Path Planning of Mobile Robot Based on Improved Hybrid Adaptive Genetic Algorithm in Different Tasks and Complex Road Environments-Reference-Cited by-同舟云学术

The Optimal Global Path Planning of Mobile Robot Based on Improved Hybrid Adaptive Genetic Algorithm in Different Tasks and Complex Road Environments

Published:2024 Issue: Volume:12 Page:18400-18415
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Feng Tingping¹^ORCID,Li Junmin¹^ORCID,Jiang Hao¹,Yang Simon X.²^ORCID,Wang Pengxiang¹,Teng Yangxin¹^ORCID,Chen Siyu¹^ORCID,Fu Qiang³^ORCID,Luo Bingjie⁴

Affiliation:

1. School of Mechanical Engineering, Xihua University, Chengdu, China

2. Advanced Robotics and Intelligent Systems Laboratory, School of Engineering, University of Guelph, Guelph, Canada

3. Sichuan Province Machinery Research and Design Institute, Chengdu, China

4. School of Intelligent Manufacturing Engineering, Chongqing University of Arts and Sciences, Chongqing, China

Funder

Sichuan Provincial Science and Technology Plan Project

Spring Plan of Ministry of Education of China

Open Research Fund of Key Laboratory of Integration and Application of Solar Energy Technology

Key Scientific Research Fund of Xihua University

Open Research Fund of Health Management Development Center, Xihua University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10413470.pdf?arnumber=10413470

Reference34 articles.

1. Design of Autonomous Mobile Robot for Cleaning in the Environment with Obstacles

2. Multi-Objective Instantaneous Center of Rotation Optimization Using Sensors Feedback for Navigation in Self-Reconfigurable Pavement Sweeping Robot

3. Automated Drone‐Delivery Solar‐Driven Onsite Wastewater Smart Monitoring and Treatment System

4. Adapted D^* Lite to Improve Guidance, Navigation and Control of a Tail-Actuated Underwater Vehicle in Unknown Environments

5. Heuristic approaches in robot path planning: A survey

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