Global and Local Path Planning on Robotic Wheelchair Based on Multi-Sensor Information Fusion

Wang Fang; Jian Guo Zhang; Hai Yan Song

doi:10.4028/www.scientific.net/AMR.655-657.1145

Paper Titles

Research on the Gyrocompass Dummy Fault Diagnosis System
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Research of the Brake Pedal Feel on Wire-by-Brake-System
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Study on Computer Simulation for Car Handling Dynamics with 8 DOF
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Application of CAN Bus in Modern Automobile Network System
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Global and Local Path Planning on Robotic Wheelchair Based on Multi-Sensor Information Fusion
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Torque Performance Measurement System for Spring in Seat Belt
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Test and Model Identification System of Electromechanical Actuator
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A Treadmill Speed Adaptive Control Method for Lower Limb Rehabilitation Robot
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Fabrication and Performance of a Double-Chamber Serial Piezoelectric Micropump
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 655-657Global and Local Path Planning on Robotic...

Global and Local Path Planning on Robotic Wheelchair Based on Multi-Sensor Information Fusion

Abstract:

This paper represented the method of obstacle avoidance for robotic wheelchair based on the multi-sensor information fusion. The installing angle of sensor was analyzed. Path planning was discussed in global or local environment separately. Dijkstra algorithm and fuzzy control algorithm were proposed to solve the problem of global and local path tracking. The simulation had provided an easy-used method for designing and validating the algorithms.

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Periodical:

Advanced Materials Research (Volumes 655-657)

Pages:

1145-1148

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.655-657.1145

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Online since:

January 2013

Authors:

Wang Fang, Jian Guo Zhang, Hai Yan Song

Keywords:

Global and Local, Multi-Sensor Information Fusion, Path Planning, Wheelchair

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References

[1] Buazilq BriotM. Navigation sub-system using ultarsonie sensor for the mobile robot [A] lstIni. Co. nfonRobot Vision nadsensoyr Control[C]. Stnaofrd-Puon-Avon, UK, 1981：47-58.

Google Scholar

[2] J. C. Latombe. Robot Motion Planning[M]. Norwell：Kluwer, 1991. 143-176.

Google Scholar

[3] E.W. Dijkstra. A note on two problems in connection with graphs[J]. Numeriche Math, 1959, 269-271.

Google Scholar

[4] S. Baase, A.V. Gelder. Computing Algorithms. Beijing：Higher Education Press, 2001. 235-267.

Google Scholar

[5] G. G. Rigatos, C. S. Tzafestas, S. G. Tzafiestas. Mobile robot motion control in partially unknown environments using a sliding-mode fuzzy-logic cotroller[J]. Robotics and Autonomous Systems, 2003 (33)：1-11.

DOI: 10.1016/s0921-8890(00)00094-4

Google Scholar

[6] Mohannad Al-Khatib, Jean J. Saade. An efficient data-driven fuzzy approach to the motion planning problem of a mobile robot[J]. Fuzz Sets and Systems, 2003(134)：65-82.

DOI: 10.1016/s0165-0114(02)00230-0

Google Scholar

[7] Foudil Abdessemed, Khier Benmahammed, Eric honacelli. A fuzzy-based reactive controller for a non-holonomic mobile robot[J]. Robotics and Autonomous Systems, 2004(47)：31-46.

DOI: 10.1016/j.robot.2004.02.006

Google Scholar