Title
Fast Trajectory Planning Via The B-Spline Augmented Virtual Motion Camouflage Approach
Keywords
B-spline; Nonlinear constrained optimal trajectory planning; Virtual motion camouflage
Abstract
The recently developed bio-inspired virtual motion camouflage (VMC) method can be used to rapidly solve nonlinear constrained optimal trajectory problems. However, the optimality of VMC solution is affected by the dimension reduced search space. Compared with the VMC method, the B-spline augmented VMC (BVMC) method studied in this paper improves the optimality of the solution, while the computational cost will not be significantly increased. Two simulation examples, the Snell's river problem and a robotic minimum time obstacle avoidance problem, are used to show the advantages of the algorithm. © 2013 by ASME.
Publication Date
10-30-2013
Publication Title
Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume
135
Issue
5
Number of Pages
-
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1115/1.4024601
Copyright Status
Unknown
Socpus ID
84886415289 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84886415289
STARS Citation
Basset, Gareth; Xu, Yunjun; and Li, Ni, "Fast Trajectory Planning Via The B-Spline Augmented Virtual Motion Camouflage Approach" (2013). Scopus Export 2010-2014. 6378.
https://stars.library.ucf.edu/scopus2010/6378