Abstract
This paper addresses the multiple tasks performing issues for redundant nonholonomic mobile manipulators. An extended gradient projection redundancy resolution scheme is proposed which can determine the directions of self-motion to perform multiple secondary tasks. This scheme is easy to use and can avoid algorithm singularities. A general dynamic modeling method is presented in consideration of nonholonomic constraints, interactive motions and self-motions. A real-time fuzzy logic self-motion planner is devised to create desired self-motion magnitudes and a robust adaptive neural-network controller is designed to accomplish multiple secondary tasks without affecting the primary one in the workspace. The effectiveness of the proposed algorithm is verified through simulations for a 3-DOF manipulator atop a 3-wheeled mobile platform system.
Original language | English |
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Title of host publication | 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 |
Pages | 1-6 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Dec 2006 |
Externally published | Yes |
Event | 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China Duration: 9 Oct 2006 → 15 Oct 2006 |
Conference
Conference | 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 |
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Country/Territory | China |
City | Beijing |
Period | 9/10/06 → 15/10/06 |
ASJC Scopus subject areas
- Control and Systems Engineering