Welcome to the InfoSci Platform
Mobile Target Tracking of Swarm Robotics in Unknown Obstructive Environment

Mobile Target Tracking of Swarm Robotics in Unknown Obstructive Environment

Zhongyang Zheng, Ying Tan
Copyright: © 2016 |Pages: 24
ISBN13: 9781466695726|ISBN10: 1466695722|EISBN13: 9781466695733
DOI: 10.4018/978-1-4666-9572-6.ch015
Cite Chapter Cite Chapter

MLA

Zheng, Zhongyang, and Ying Tan. "Mobile Target Tracking of Swarm Robotics in Unknown Obstructive Environment." Handbook of Research on Design, Control, and Modeling of Swarm Robotics, edited by Ying Tan, IGI Global, 2016, pp. 397-420. https://doi.org/10.4018/978-1-4666-9572-6.ch015

APA

Zheng, Z. & Tan, Y. (2016). Mobile Target Tracking of Swarm Robotics in Unknown Obstructive Environment. In Y. Tan (Ed.), Handbook of Research on Design, Control, and Modeling of Swarm Robotics (pp. 397-420). IGI Global. https://doi.org/10.4018/978-1-4666-9572-6.ch015

Chicago

Zheng, Zhongyang, and Ying Tan. "Mobile Target Tracking of Swarm Robotics in Unknown Obstructive Environment." In Handbook of Research on Design, Control, and Modeling of Swarm Robotics, edited by Ying Tan, 397-420. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9572-6.ch015

Export Reference

Mendeley
Favorite

Abstract

This paper considers the problem of tracking a mobile target in an obstructive environment using a swarm of simple robots with limited sensing and communicating abilities. The target-tracking procedure, which has not been paid attention in previous swarm robotic researches, is specially focused. In tracking phase of problem, the swarm should move with low energy cost while keeping the target in sight. This mobile target tracking (MTT) problem, is useful for practical applications, such as escorting, monitoring, group carrying and etc. A spring virtual force (SVF) model is proposed to solve MTT problem and is applied on a self-built simulation program written by the authors in both ideal and noisy environments. The simulation results demonstrate that the proposed model has great advantages in finding target, saving energy and maintaining connectivity with fewer parameters, smaller computation overload and higher stability. The SVF model can achieve great performance even when there exists significant amount of noise.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.