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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Correll, N. Martinoli, A. |
| Copyright Year | 2007 |
| Description | Author affiliation: Swarm-Intelligent Syst. Group, Ecole Polytechnique Federale Lausanne (Correll, N.; Martinoli, A.) |
| Abstract | For the multi-robot coverage problem deterministic deliberative as well as probabilistic approaches have been proposed. Whereas deterministic approaches usually provide provable completeness and promise good performance under perfect conditions, probabilistic approaches are more robust to sensor and actuator noise, but completion cannot be guaranteed and performance is sub-optimal in terms of time to completion. In reality, however, almost all deterministic algorithms for robot coordination can be considered probabilistic when considering the unpredictability of real world factors. This paper investigates experimentally and analytically how probabilistic and deterministic algorithms can be combined for maintaining the robustness of probabilistic approaches, and explicitly model the reliability of a robotic platform. Using realistic simulation and data from real robot experiments, we study system performance of a swarm-robotic inspection system at different levels of noise (wheel-slip). The prediction error of a purely deterministic model increases when the assumption of perfect sensors and actuators is violated, whereas a combination of probabilistic and deterministic models provides a better match with experimental data. |
| Sponsorship | IEEE Robotics and Automation Soc |
| Starting Page | 379 |
| Ending Page | 384 |
| File Size | 326981 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424406013 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2007.363816 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-10 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robot sensing systems Robot kinematics Noise robustness Actuators Mobile robots Predictive models Algorithm design and analysis Maintenance System performance Inspection |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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