Geodesic Approach for an Efficient Trajectory Planning of Mobile Robot Manipulators
-
Published:2019-10-01
Issue:5
Volume:4
Page:1196-1207
-
ISSN:2455-7749
-
Container-title:International Journal of Mathematical, Engineering and Management Sciences
-
language:en
-
Short-container-title:Int J Math, Eng, Manag Sci
Author:
Sahu Pradip Kumar,Biswal Bibhuti Bhusan
Abstract
In this paper, the geodesic approach has been employed for an effective, optimal, accurate and smooth trajectory planning of a mobile robot manipulator mechanism. Generally, geodesic can be described as the shortest curvature between two loci on a Riemannian manifold. In order to attain the planned end-effector motion, Riemannian metrics has been consigned to the forward kinematics of mobile robot wheel as well as the mobile robot manipulator workspace. The rotational angles of wheel and joint kinematic parameters are chosen as local coordinates of spaces to represent Cartesian trajectories for mobile wheel rotation trajectories and joint trajectories respectively. The geodesic equalities for a given set of boundary conditions are evaluated for the chosen Riemannian metrics and the computational results of the geodesic equations have been shown. So as to verify and validate the efficiency of the chosen geodesic scheme, the method has been implemented for the motion planning and optimization of a mobile robot with a simple 3R manipulator installed upon its platform.
Publisher
International Journal of Mathematical, Engineering and Management Sciences plus Mangey Ram
Subject
General Engineering,General Business, Management and Accounting,General Mathematics,General Computer Science
Reference15 articles.
1. Chen, Y., Li, L., & Ji, X. (2014). Smooth and accurate trajectory planning for industrial robots. Advances in Mechanical Engineering, Volume 2014, Article ID 342137, 8 page. 2. Eldershaw, C., & Cameron, S. (2000). Using genetic algorithms to solve the motion planning problem. Journal of Universal Computer Science, 6(4), 422-432. 3. Jena, A., Sahu, P.K., Bharat, S.C., & Biswal, B.B. (2016, July). Optimal trajectory planning of a 3R SCARA manipulator using geodesic. In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), (pp. 1-6). IEEE. 4. Liu, H., Lai, X., & Wu, W. (2013). Time-optimal and jerk-continuous trajectory planning for robot manipulators with kinematic constraints. Robotics and Computer-Integrated Manufacturing, 29(2), 309-317. 5. Olabi, A., Béarée, R., Gibaru, O., & Damak, M. (2010). Feedrate planning for machining with industrial six-axis robots. Control Engineering Practice, 18(5), 471-482.
|
|