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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhe Yan Xin Wang Daegeun Yoon Dongliang Xie |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of ECE, Stony Brook Univ., Stony Brook, NY, USA (Zhe Yan; Xin Wang; Daegeun Yoon; Dongliang Xie) |
| Abstract | Multi-robot systems (MRS) have many applications and the efficient operation of MRS relies on coordination of robots. However, it is difficult to build network connections among randomly distributed robots in the presence of robot movements and weak wireless channels. In this work, we propose to jointly exploit communications and motion control to efficiently establish robot connections. To achieve this goal, we concurrently use MUSIC and particle filter to more accurately and efficiently estimate robot signal directions, built on which signal strength-based potential field is formed to control robot motion to establish and maintain communication links. Our studies based on test bed and simulations demonstrate the effectiveness of our algorithm in networking robots, with much higher number of robots connected compared to peer algorithms. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 352 |
| Ending Page | 360 |
| File Size | 368611 |
| Page Count | 9 |
| File Format | |
| e-ISBN | 9781467391016 |
| DOI | 10.1109/MASS.2015.32 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-19 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless communication Simultaneous localization and mapping Robot kinematics Multi-robot systems Algorithm Robots Communication |
| Content Type | Text |
| Resource Type | Article |
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