Title
A New Analytical Solution To Mobile Robot Trajectory Generation In The Presence Of Moving Obstacles
Keywords
Car-like robot; Chained form; Moving obstacle; Nonholonomic systems; Obstacle avoidance; Piecewise parameterization; Polynomial inputs; Trajectory generation
Abstract
The problem of determining a collision-free path for a mobile robot moving in a dynamically changing environment is addressed in this paper. By explicitly considering a kinematic model of the robot, the family of feasible trajectories and their corresponding steering controls are derived in a closed form and are expressed in terms of one adjustable parameter for the purpose of collision avoidance. Then, a new collision-avoidance condition is developed for the dynamically changing environment, which consists of a time criterion and a geometrical criterion, and it has explicit physical meanings in both the transformed space and the original working space. By imposing the avoidance condition, one can determine one (or a class of) collision-free path(s) in a closed form. Such a path meets all boundary conditions, is twice differentiable, and can be updated in real time once a change in the environment is detected. The solvability condition of the problem is explicitly found, and simulations show that the proposed method is effective. © 2004 IEEE.
Publication Date
12-1-2004
Publication Title
IEEE Transactions on Robotics
Volume
20
Issue
6
Number of Pages
978-993
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/TRO.2004.829461
Copyright Status
Unknown
Socpus ID
10944222960 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/10944222960
STARS Citation
Qu, Zhihua; Wang, Jing; and Plaisted, Clinton E., "A New Analytical Solution To Mobile Robot Trajectory Generation In The Presence Of Moving Obstacles" (2004). Scopus Export 2000s. 4641.
https://stars.library.ucf.edu/scopus2000/4641