An Experimental System for Incremental Environment Modelling by an Autonomous Mobile Robot

作者: Philippe Moutarlier , Raja Chatila

DOI: 10.1007/BFB0042528

关键词:

摘要: Incremental map-making is a necessary function of an autonomous mobile robot. Sensor data are always imprecise, and in the case robot, sensor location itself imprecise even sometimes false (e.g. slippage). We show how sensors inaccuracies can be processed to produce consistent environment model as precise possible robot positioning. The experimental system (a with laser range finder odometry) presented theoretical approach applied on actual data.

参考文章(10)
Larry Matthies, Takeo Kanade, The cycle of uncertainty and constraint in robot perception international symposium on robotics. pp. 327- 335 ,(1988)
R. Chatila, J. Laumond, Position referencing and consistent world modeling for mobile robots international conference on robotics and automation. ,vol. 2, pp. 138- 145 ,(1985) , 10.1109/ROBOT.1985.1087373
C. Ming Wang, Location estimation and uncertainty analysis for mobile robots international conference on robotics and automation. pp. 1231- 1235 ,(1988) , 10.1007/978-1-4613-8997-2_8
Andrew H. Jazwinski, Stochastic Processes and Filtering Theory ,(1970)
Randall Smith, Matthew Self, Peter Cheeseman, Estimating uncertain spatial relationships in Robotics uncertainty in artificial intelligence. ,vol. 5, pp. 267- 288 ,(1986) , 10.1016/B978-0-444-70396-5.50042-X
Kohji Kamejima, Yuriko Ogawa, Guidance system for a mobile robot ,(1986)
Hugh F. Durrant-Whyte, Integration, Coordination and Control of Multi-Sensor Robot Systems The Kluwer International Series in Engineering and Computer Science. ,(1987) , 10.1007/978-1-4613-2009-8