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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mansard, N. Aycard, O. Koike, C. |
| Copyright Year | 2004 |
| Description | Author affiliation: INRIA Rhone-Alpes, GRAVIR Lab., Montbonnot Saint Martin (Mansard, N.; Aycard, O.; Koike, C.) |
| Abstract | Living beings are often observed switching strategies in response to a changing environment. However, autonomous robotics mostly implements a single behaviour well suited to a particular task such as navigation, localization and so on. Actually, one burning issue of autonomous robotics is to manage a complex task starting from a set of simple behaviours. In other words, the robot has to choose the optimal behaviour given the sensori-motor context in order to build a global and coherent process. This is usually done by a strict specification from the programmer. In this article, we put forward a framework called behaviours hierarchy that handle elementary ability to respond to a given task. We show that this framework leads to the continuous application of an adequate behaviour depending on the environment. Finally, we propose a general method to implement this framework using Bayesian programming |
| Sponsorship | IEEE Robotics and Autom. Soc. IEEE HK RA/CS Joint Chapter Chinese Acad. of Sci. Chinese High-tech Dev. Program Robotics Soc. of Japan Japan Soc. of Mech. Eng. Int. Rescue Syst. Inst |
| Starting Page | 895 |
| Ending Page | 900 |
| File Size | 263868 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780386148 |
| DOI | 10.1109/ROBIO.2004.1521903 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-08-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Indoor environments Navigation Robot sensing systems Bayesian methods Robot programming Europe Programming profession Robotics and automation Fasteners Art |
| Content Type | Text |
| Resource Type | Article |
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