Robots;
Robot sensing systems;
Robot kinematics;
Protocols;
Collision avoidance;
Circuits and systems;
Mobile robots;
Autonomous systems;
bearing-only measurements;
collision avoidance;
multi-agent formation;
mobile robots;
D O I:
10.1109/TCSII.2021.3066555
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
This brief proposes a bearing-only collision-free formation coordination strategy for networked heterogeneous robots, where each robot only measures the relative bearings of its neighbors to achieve cooperation. Different from many existing studies that can only guarantee global asymptotic stability (i.e., the formation can only be formed over an infinite settling period), a gradient-descent control protocol is designed to make the robots achieve a target formation within a given finite time. The stability of the multi-robot system is guaranteed via Lyapunov theory, and the convergence time can be defined by users. Moreover, we also present sufficient conditions for collision avoidance. Finally, a simulation case study is provided to verify the effectiveness of the proposed approach.
引用
收藏
页码:3316 / 3320
页数:5
相关论文
共 22 条
[1]
Bae YB, 2019, IEEE 13TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI 2019), P39, DOI 10.1109/SACI46893.2019.9111593
机构:
Hong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China
Khan, Ameer Hamza
Li, Shuai
论文数: 0引用数: 0
h-index: 0
机构:
Swansea Univ, Swansea SA2 8PP, W Glam, WalesHong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China
Li, Shuai
Luo, Xin
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Chongqing Engn Res Ctr Big Data Applicat Smart Ci, Dept Elect & Elect Engn, Chongqing 400714, Peoples R China
Chinese Acad Sci, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R ChinaHong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China
[1]
Bae YB, 2019, IEEE 13TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI 2019), P39, DOI 10.1109/SACI46893.2019.9111593
机构:
Hong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China
Khan, Ameer Hamza
Li, Shuai
论文数: 0引用数: 0
h-index: 0
机构:
Swansea Univ, Swansea SA2 8PP, W Glam, WalesHong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China
Li, Shuai
Luo, Xin
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Chongqing Engn Res Ctr Big Data Applicat Smart Ci, Dept Elect & Elect Engn, Chongqing 400714, Peoples R China
Chinese Acad Sci, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R ChinaHong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China