Energy-Efficient Path Planning of Reconfigurable Robots in Complex Environments-Reference-Cited by-同舟云学术

Energy-Efficient Path Planning of Reconfigurable Robots in Complex Environments

Published:2022-08 Issue:4 Volume:38 Page:2481-2494
ISSN:1552-3098
Container-title:IEEE Transactions on Robotics
language:
Short-container-title:IEEE Trans. Robot.

Author:

Kyaw Phone Thiha¹^ORCID,Le Anh Vu²^ORCID,Veerajagadheswar Prabakaran¹^ORCID,Elara Mohan Rajesh¹^ORCID,Thu Theint Theint³,Nhan Nguyen Huu Khanh²^ORCID,Van Duc Phan⁴^ORCID,Vu Minh Bui⁵^ORCID

Affiliation:

1. ROAR Lab, Engineering Product Development, Singapore University of Technology and Design, Singapore, Singapore

2. Optoelectronics Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

3. Department of Mechatronic Engineering, Yangon Technological University, Yangon, Myanmar

4. Faculty of Automobile Technology, Van Lang University, Ho Chi Minh City, Vietnam

5. Faculty of Engineering and Technology, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

Funder

National Robotics Programme

Robotics Enabling Capabilities and Technologies

Robot Domain Specific

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/8860/9851593/09716740.pdf?arnumber=9716740

Reference39 articles.

1. A Region-Specific Hybrid Sampling Method for Optimal Path Planning

2. A flexible and scalable SLAM system with full 3D motion estimation

3. Lifelong Planning A∗

4. Random Geometric Graphs

5. Coverage Path Planning for Decomposition Reconfigurable Grid-Maps Using Deep Reinforcement Learning Based Travelling Salesman Problem

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