An iterative optimization approach for multi-robot pattern formation in obstacle environment-Reference-Cited by-同舟云学术

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An iterative optimization approach for multi-robot pattern formation in obstacle environment

Published:2020-11 Issue: Volume:133 Page:103645
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Zhang Fangfang^ORCID,Wang Tingting,Li Qiyan,Xin Jianbin

Funder

National Natural Science Foundation of China

Outstanding Foreign Scientist Support Project in Henan Province, PR China

Henan Province Young Talent Lift Project, PR China

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference23 articles.

1. Convex optimization strategies for coordinating large-scale robot formations;Derenick;IEEE Trans. Robot.,2007

2. Decentralized formation control with variable shapes for aerial robots;Turpin,2012

3. 2019 world drone conference shenzhen held thousands of drones unveiled;Li,2019

4. Drone + unmanned vessel + unmanned vehicle, 2018 CCTV spring festival evening stunning technology fan;So,2018

5. Coordination of droplets on light-actuated digital microfluidic systems;Ma,2012

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1. Suboptimal Relational Tree Configuration and Robust Control Based on the Leader-follower Model for Self-organizing Systems Without GPS Support;International Journal of Control, Automation and Systems;2024-02-08

2. SymSwarm: A Two-Staged Decentralized Symmetrical Pattern Formation Paradigm for a Swarm of Mobile Robots;Arabian Journal for Science and Engineering;2023-08-17

3. Distributed Optimization Algorithm for Multi-Robot Formation with Virtual Reference Center;IEEE/CAA Journal of Automatica Sinica;2022-04

4. Parallel Swarm Intelligent Motion Planning with Energy-Balanced for Multirobot in Obstacle Environment;Wireless Communications and Mobile Computing;2021-08-30

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