Abstract
In this paper, we propose a trajectory generation method for mobile robot based on iterative extension-like process. Due to use mobile robots in the real world, trajectory generation must be done depending on the faced situation on each occasion. Proposed method enables online iterative trajectory extension process based on a low-order polynomial curve named as trajectory segment. The waypoints on the existing trajectory segment and a waypoint designated every fixed interval are the constraints to trigger the trajectory extension. For maintaining the smooth continuity of the trajectory, the velocity state must be sustained at the connecting point. Resultantly, the trajectory segments are organized into a single smooth trajectory.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Sakamoto N, Okugawa M (2012) Human following control of porter robot with velocity vectors. In: Proceedings of ASME 2012 5th annual dynamic systems and control conference joint with the JSME 2012 11th motion and vibration conference, pp 817–821
Tachi S, Tanie K, Komoriya K, Abe M (1985) MELDOG: the guide dog robot. IEEE Trans Biomed Eng 32(7):256–270
Karreman DE , van Dijk EMAG, Evers V (2012) Using the visitor experiences for mapping the possibilities of implementing a robotic guide in outdoor sites. In: Proceedings of the 21st IEEE international symposium on robot and human interactive communication, pp 1059–1065
Zacharie M (2010) Security guard robot detecting human using Gaussian distribution histogram method. J Comput Sci 6(10):1144–1150
Lee H-T, Lin W-C, Huang C-H (2011) Indoor surveillance security robot with a self-propelled patrolling vehicle. J Robot Vol 2011. Article ID 197105. doi:10.1155/2011/197105
Kelly A, Nagy B (2003) Reactive nonholonomic trajectory generation via parametric optimal control. Int J Robot Res 22(7–8):583–601
Maekawa T, Noda T, Tamura Ozaki T, Machida K (2010) Curvature continuous path generation for autonomous vehicle using B-spline curves. Comput Aided Des 42:350–359
Bezier P (1986) Courbes et surfaces. Mathmatiques et CAO, Hermes, Paris
Jolly KG, Kumar RS, Vijayakumar R (2009) A Bezier curve based path planning in a multi-agent robot soccer system without violating the acceleration limits. Robot Auton Syst 57:23–33
Ma L, Yang J, Zhang M (2012) A two-level path planning method for on-road autonomous driving. In: Proceedings of international conference on intelligent system design and engineering application, pp 661–664
Kawabata K, Ma L, Xue J, Zheng N (2015) A path generation for automated vehicle based on bezier curve and via-points. Robot Auton Syst 74:243–252
Choi JW, Curry RE, Elkaim GH (2010) Continuous curvature path generation based on bezier curves for autonomous vehicles. IAENG J Appl Math 40(2):IJAM_40_2_07
Zhou F, Song B, Tian G (2011) Bezier curve based smooth path planning for mobile robot. J Inf Comput Sci 8(12):2441–2450
LaValle SM, Kuffner JJ (2001) Randomized kinodynamic planning. Int J Robot Res 20(5):378–400
Melchior NA, Simmons R (2007) Particle RRT for path planning with uncertainty. In: Proceedings of 2007 IEEE international conference on robotics and automation, pp 1617–1624
Kuwata Y, Teo J, Fiore G, Karaman S, Frazzoli E, How JP (2009) Real-time motion planning with applications to autonomous urban driving. IEEE Trans Control Syst Technol 17(5):1105–1118
Yang K, Moon S, Yoo S, Kang J, Doh NL, Kim NB, Joo S (2014) Spline-based RRT path planner for non-holonomic robots. J Intell Robot Syst 73:763–782
Karaman S, Walter MR, Perez A, Frazzoli E, Teller S (2011) Anytime motion planning using the RRT\(^{\ast }\). In: Proceedings of IEEE international conference on robotics and automation, pp 1478–1483
Paromtchik I, Asama H (2000) A motion generation approach for an omnidirectional vehicle. In: Proceedings of international conference on robotics and automation, pp 1213–1218
Kawabata K, Xue J, Ma L, Zheng N (2014) A sequential path extension method for mobile robot. Proc IEEE TENCON 2014:075
Kawabata K, Xue J, Ma L, Yokota S, Mitsukura Y, Zheng N (2015) Iterative polynomial-based trajectory extension for mobile robot. In: Proceedings of 2015 IEEE international conference on advanced intelligent mechatronics, pp 255–260
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Kawabata, K. A trajectory generation method for mobile robot based on iterative extension-like process. Artif Life Robotics 21, 500–509 (2016). https://doi.org/10.1007/s10015-016-0305-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10015-016-0305-6