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Content Provider | IEEE Xplore Digital Library |
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Author | Schneider, F.E. Wildermuth, D. |
Copyright Year | 2005 |
Description | Author affiliation: Res. Establ. for Appl. Sci., Wachtberg, Germany (Schneider, F.E.; Wildermuth, D.) |
Abstract | The field of multirobot systems (MRS) is continuously drawing more attention. The DARPA SDR program and the RoboSoccer/RobotRescue contests have shown the great potential of this field. One of the increasingly popular uses of the field of MRS is in communication and sensor-networks. These applications require a task depended navigation. The MRS sub-problem of formation navigation is predestined for this purpose. This paper presents an improvement of the classical potential field approach for motion co-ordination in formations of MRS. The approach is briefly compared to related work. For the subtask of moving in formation, a solution based on a directed potential field is presented. Different forces belonging to other robots, obstacles and the aspired shape of formation are combined and used to move each robot to its desired position inside the formation. While moving in formation, the group is able to avoid obstacles and approach towards a specified target. First experiments that show the differences and improvements in comparison to the classical method are presented. |
Sponsorship | IEEE Robotics and Automation Soc |
Starting Page | 21 |
Ending Page | 26 |
File Size | 3431797 |
Page Count | 6 |
File Format | |
ISBN | 0780393554 |
DOI | 10.1109/CIRA.2005.1554249 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-06-27 |
Publisher Place | Finland |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Navigation Robot kinematics Robot sensing systems Orbital robotics Shape Communication networks Mobile robots Multirobot systems Mathematical model Distributed algorithms formation navigation multi robot potential field |
Content Type | Text |
Resource Type | Article |
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