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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Renzaglia, A. Doitsidis, L. Martinelli, A. Kosmatopoulos, E.B. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. of Electron., Technol. Educ. Inst. of Crete, Chania, Greece (Doitsidis, L.) || INRIA Rhone-Alpes, Grenoble, France (Renzaglia, A.; Martinelli, A.) || Dept. of ECE, Democritus Univ. of Thrace, Xanthi, Greece (Kosmatopoulos, E.B.) |
| Abstract | In this paper we present a solution to the problem of positioning a team of mobile robots for a surveillance task in a non-convex environment with unknown obstacles. The problem is addressed taking into account several physical and environmental constraints like limited sensor capabilities, obstacle-avoidance, etc. The goal is to maximize the area monitored by the team, by identifying the best configuration of the team members. Due to the non-convex nature of the problem, an analytical solution cannot be obtained. The proposed method is based on a new cognitive-based, adaptive optimization algorithm (CAO). This method allows getting coordinated and scalable controls to accomplish the task. Furthermore, we propose a different formulation of the problem in order to obtain a distributed solution which allows us to consider also limited communication capabilities. Extensive simulations are presented to evaluate the efficiency of the proposed algorithm and to compare centralized and distributed approach. |
| Sponsorship | Control Syst. Soc. |
| Starting Page | 468 |
| Ending Page | 473 |
| File Size | 559069 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457700804 |
| ISSN | 07431619 |
| e-ISBN | 9781457700811 |
| DOI | 10.1109/ACC.2011.5990822 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Robot sensing systems Monitoring Cost function Approximation methods Robot kinematics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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