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Sensor Planning for Mobile Robot Localization Based on Probabilistic Inference
Using Bayesian Network Hongjun Zhou Shigeyuki Sakane Department of
Industrial and Systems Engineering, Chuo University 1-13-27 Kasuga, Bunkyo-
ku, ...
Sensor Planning for Mobile Robot Localization Based on Probabilistic Inference
Using Bayesian Network Hongjun Zhou Shigeyuki Sakane Department of
Industrial and Systems Engineering, Chuo University 1-13-27 Kasuga, Bunkyo-
ku, ...
Page 8
Figure 1: The trajectory and its associated sensor data flow of a mobile robot
Sgimor planning Figure 2: Multi-layered-behavior architecture for sensor
planning In this paper we propose a sensor planning system which avoids error
of global ...
Figure 1: The trajectory and its associated sensor data flow of a mobile robot
Sgimor planning Figure 2: Multi-layered-behavior architecture for sensor
planning In this paper we propose a sensor planning system which avoids error
of global ...
Page 9
Fig.l (right) shows a time sequence of the corresponding sonar sensor data as a
gray level image. The vertical axis represents the time and the eight pixels along
the horizontal slice represent a set of sonar sensor data in which a darker ...
Fig.l (right) shows a time sequence of the corresponding sonar sensor data as a
gray level image. The vertical axis represents the time and the eight pixels along
the horizontal slice represent a set of sonar sensor data in which a darker ...
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Contents
Monday May 282001 | 1 |
Session M1B Assembly Planning Room | 31 |
Session MIC Production Systeml RoomC | 61 |
Copyright | |
15 other sections not shown
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Common terms and phrases
4th IEEE International algorithm analysis applied approach Assembly and Task assembly model assembly planning assembly process assembly sequences assembly system assembly task automatic B-spline Bayesian network calculated camera collision components computed configuration constraints contact point coordinate cost defined deformable described developed disassembly sequences dynamic Engineering environment evaluation feasible Figure finger flexible Fukuoka function genetic algorithm geometric grasp holons IEEE International Symposium information entropy Japan liaison Lie algebra machine manipulation matrix mechanical method mobile robot module motion planning node object obstacles obtained operation optimal parameters path planning Petri nets Planning Soft Research precedence graph problem proposed Radon transform represented Robotics and Automation rotation scheduling Screw Theory selected self-organizing map sensor shown in Fig simulation Soft Research Park solutions specification station step structure subassembly Symposium on Assembly Task Planning Soft tion tool trajectory vector velocity
Bibliographic information
| Title | Proceedings |
| Author | IEEE International Symposium on Assembly and Task Planning |
| Contributors | IEEE Robotics and Automation Society, IEEE Xplore (Online service) |
| Publisher | IEEE Computer Society Press |
| Original from | the University of Michigan |
| Digitized | 11 Jan 2008 |
| Export Citation | BiBTeX EndNote RefMan |