Abstract
Recently, many research projects and competitions have attempted to find an autonomous mobile robot that can drive in the real world. In this article, we consider a path-planning method for an autonomous mobile robot that would be safe in a real environment. In such a case, it is very important for the robot to be able to identify its own position and orientation in real time. Therefore, we applied a localization method based on a particle filter. Moreover, in order to improve the safety of such autonomous locomotion, we improved the path-planning algorithm and the generation of the trajectory so that it can consider a region with a limited maximum velocity. In order to demonstrate the validity of the proposed method, we participated in the Real World Robot Challenge 2010. The experimental results are given.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Belkhouche F (2009) Reactive path planning in a dynamic environment. IEEE Trans Robotics 25(4):902–911
Ferguson D, Howard TM, Likhachev M (2008) Motion planning in urban environments. J Field Robotics 25(11–12):939–960
Milford M, Wyeth G (2010) Hybrid robot control and SLAM for persistent navigation and mapping. Robotics Auton Syst 58:1096–1104
Urban Challenge, http://www.darpa.mil/grandchallenge/index.asp
Intelligent Ground Vehicle Competition, http://www.igvc.org/
Thailand Intelligent Vehicle Challenge, http://www.ise.ait.ac.th/TIVChallenge/index.htm
Real World Robot Challenge, http://www.ntf.or.jp/challenge/challenge10/index.html
Miyazawa K, et al (2007) Development of an autonomous mobile robot in an outdoor environment based on sensor fusion for RWRC (in Japanese). Proceedings of SICE System Integration, pp. 965–966
Kon K, et al (2008) Development of RTCs for mobile robots with autonomy and operability (in Japanese). Report 7, Proceedings of SICE System Integration, pp 381–382
Goto K, et al (2009) Development of RTCs for mobile robots with autonomy and operability (in Japanese). Report 13, Proceedings of SICE System Integration, pp 983–986
Morales Y, Carballo A, Takeuchi E, et al (2009) Autonomous robot navigation in outdoor cluttered pedestrian walkways. J Field Robotics 26(8):609–635
Goto K, Kon K, Matsuno F (2010) Motion planning of an autonomous mobile robot considering regions with velocity constraints. Proceedings of the IEEE International Conference on Intelligent Robots and Systems, pp 3269–3274
Borenstein J, Feng L (1996) Gyroodometry. A new method for combining data from gyros and odometry in mobile robots. Proceedings of the IEEE International Conference on Robotics and Automation, pp 423–428
Thrun S, Burgard W, Fox D (2006) Probabilistic robotics. MIT Press, Cambridge
RT-Middleware, http://www.is.aist.go.jp/rt/
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Kim, T.H., Goto, K., Igarashi, H. et al. Path planning for an autonomous mobile robot considering a region with a velocity constraint in a real environment. Artif Life Robotics 16, 514–518 (2012). https://doi.org/10.1007/s10015-011-0977-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10015-011-0977-x