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Maximum clearance rapid motion planning algorithm

Published online by Cambridge University Press:  19 February 2018

Shubham Singh Paliwal  and
Rahul Kala
Shubham Singh Paliwal*
Affiliation:
Robotics and Artificial Intelligence laboratory, Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India. E-mail: [email protected]
Rahul Kala
Affiliation:
Robotics and Artificial Intelligence laboratory, Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India. E-mail: [email protected]
*
*Corresponding author. E-mail: [email protected]
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Summary

This paper proposes a new path-planning algorithm which is close to the family of bug algorithms. Path planning is one of the challenging problems in the area of service robotics. In practical applications, traditional methods have some limitations with respect to cost, efficiency, security, flexibility, portability, etc. Our proposed algorithm offers a computationally inexpensive goal-oriented strategy by following a smooth and short trajectory. The paper also presents comparisons with other algorithms. In addition, the paper also presents a test bed which is created to test the algorithm. We have used a two-wheeled differential drive robot for the navigation and only a single camera is used as a feedback sensor. Using an extended Kalman filter, we localize the robot efficiently in the map. Furthermore, we compare the actual path, predicted path and planned path to check the effectiveness of the control system.

Keywords

Path planningBug algorithmExtended Kalman filterHomographyLocalizationPID controller
Type
Articles
Information
Robotica , Volume 36 , Issue 6 , June 2018 , pp. 882 - 903
Copyright
Copyright © Cambridge University Press 2018 

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Paliwal and Kala supplementary material 1

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