DocumentCode
3099527
Title
Solving navigation tasks with learned Teleo-Reactive Programs
Author
Vargas, Blanca ; Morales, Eduardo F.
Author_Institution
Dept. of Comput. Sci., Nat. Inst. of Astrophys., Puebla
fYear
2008
fDate
22-26 Sept. 2008
Firstpage
4185
Lastpage
4185
Abstract
Programming a robot to perform tasks in dynamic environments is a complex process. Teleo-reactive programs (TRPs) (S. Benson and N.J. Nilsson, 1995) have proved to be an effective framework to continuously perform a set of actions to achieve particular goals and react in the presence of unexpected events, however, their definition is a difficult and time-consuming process. In this paper, it is shown how a robot can learn TRPs from human guided traces. A user guides a robot to perform a task and the robot learns how to perform such task in similar dynamic environments.
Keywords
mobile robots; navigation; robot programming; dynamic environments; navigation tasks; robot programming; teleo-reactive programs; Adaptation model; Humans; Navigation; Robot sensing systems; Robots; Sonar navigation; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
Conference_Location
Nice
Print_ISBN
978-1-4244-2057-5
Type
conf
DOI
10.1109/IROS.2008.4651240
Filename
4651240
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