Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics
Joint Authors
Source
Advances in Mechanical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper presents a new approach for cooperative search of a robot swarm.
After modeling the robot, the mechanical Particle Swarm Optimization method is conducted based on physical robot properties.
Benefiting from the effective localization and navigation by sensor data fusion, a mixed robot swarm which contains both simulated and real robots is then successfully used for searching a target cooperatively.
With the promising results from experiments based on different scenarios, the feasibility, the interaction of real and simulated robots, the fault tolerance, and also the scalability of the proposed method are investigated.
American Psychological Association (APA)
Tang, Qirong& Eberhard, Peter. 2013. Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-460312
Modern Language Association (MLA)
Tang, Qirong& Eberhard, Peter. Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics. Advances in Mechanical Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-460312
American Medical Association (AMA)
Tang, Qirong& Eberhard, Peter. Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-460312
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460312