DocumentCode :
3402513
Title :
Reliable navigation using landmarks
Author :
Becker, Craig ; Salas, Joaquìn ; Tokusei, Kentaro ; Latombe, Jean-Claude
Author_Institution :
Dept. of Comput. Sci., Stanford Univ., CA, USA
Volume :
1
fYear :
1995
fDate :
21-27 May 1995
Firstpage :
401
Abstract :
Building a truly reliable mobile robot system-one that can navigate without failures for long periods of time (weeks or months)-requires making clear assumptions bounding uncertainty and enforcing those assumptions by appropriately engineering the robot and its workspace. Weak assumptions may result in low-cost engineering but make the navigation problem intractable. On the other hand, strict assumptions may simplify navigation but reduce the flexibility of the resulting system. The work presented in this paper investigates the tradeoff between “computational complexity” and “physical complexity” and advocates landmarks as a way of managing this tradeoff. We first define a formal navigation problem which incorporates enough assumptions to make it computationally tractable. We then use landmarks to enforce those assumptions. By implementing this system on our mobile robot we show that the assumptions are enforceable, that the engineering costs of using landmarks are acceptable, and that the resulting navigation system is both efficient and robust
Keywords :
computerised navigation; mobile robots; computational complexity; enforceable assumptions; intractable problem; landmarks; low-cost engineering; physical complexity; reliable mobile robot system; reliable navigation; uncertainty; weak assumptions; Costs; Laboratories; Mobile robots; Motion planning; Navigation; Reliability engineering; Robot sensing systems; Robustness; Strips; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location :
Nagoya
ISSN :
1050-4729
Print_ISBN :
0-7803-1965-6
Type :
conf
DOI :
10.1109/ROBOT.1995.525317
Filename :
525317
Link To Document :
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