Cosine Second Order Robot Trajectory Planning Method

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Abstract:

A new joint space trajectory planning method for the series robot is proposed. Comparing with the traditional path planning methods which can only guarantee the planned trajectory velocity or acceleration continuous, the proposed trajectory planning algorithm can also ensure the derivative of acceleration (Jerk) continuous within a limit threshold. At the end of this paper, the proposed path planning algorithm is validated of having a great performance on robot trajectory tracking.

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1075-1080

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July 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[2] F.Y. Lin, T.S. Lu, Minimum-time trajectory planning based on the shortest path for the wheeled mobile robot , Journal of Harbin Institute of Technology, vol. 13 (2006) 360-363.

Google Scholar

[3] S. Bazaz, B. Tondu, On-line computing of a robotic manipulator joint trajectory with velocity and acceleration constraints, in Proceedings of the IEEE International Symposium on Assembly and Task Planning, Aug. 1997, pp.1-6.

DOI: 10.1109/isatp.1997.615375

Google Scholar

[4] Y.K. Choi, Optimal trajectory planning and sliding mode control for robots using evolution strategy, Journal of Robotic Systems, vol. 17 (2000) 423-428.

DOI: 10.1017/s0263574799002118

Google Scholar

[5] S. Macfarlane, A. Elizabeth, Jerk-bounded manipulator trajectory planning: Design for real-time applications, IEEE Trans Rob Autom , vol. 19, (2003) 42-52.

DOI: 10.1109/tra.2002.807548

Google Scholar

[6] F. Zhou, Z. Zhang, Path planning for a manipulator based on the decomposition of C space and the roadmap method, Journal of Harbin Engineering University, vol. 30 (2009) 531-535.

Google Scholar

[7] C.T. Leng, Q.X. Cao, Motion planning for omni-directional mobile robots based on anisotropy and artificial potential field method, Industrial Robot, vol. 36 (2009) 477-488.

DOI: 10.1108/01439910910980204

Google Scholar

[8] X.R. Xiong, Y.L. Xiong, J - function based geometric reasoning for robotics II: robot motion planning and navigation, in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 1, 1995, pp.340-345.

DOI: 10.1109/icsmc.1995.537782

Google Scholar

[9] M. Alistair, C. Stephen, Virtual springs method: Path planning and collision avoidance for redundant manipulators, International Journal of Robotics Research, vol. 15 (1996) 300-319.

DOI: 10.1177/027836499601500401

Google Scholar

[10] M. Oda, N. Inaba, Mission design of an in-orbit satellite inspection: Feasibility of the in-orbit satellite servicing, in 11th Annual AAS/AIAA Space Flight Mechanics Meeting, Proceedings, Feb. 2001, pp: 2071-(2085).

Google Scholar

[1] S.J. Lu, J. Chung, Collision detection enabled weighted path planning: A wrist and base force/torque sensors approach" in 2005 International Conference on Advanced Robotics, ICAR , 05, Proceedings, vol. 2005, Jul. 2005, pp.165-170.

DOI: 10.1109/icar.2005.1507408

Google Scholar

[2] A. De Luca, A. Alin, Collision detection and safe reaction with the DLR-III lightweight manipulator arm, in IEEE International Conference on Intelligent Robots and Systems, Oct. 2006, pp.1623-1630.

DOI: 10.1109/iros.2006.282053

Google Scholar

[3] J. Jackson, J. Anthony, Tracking deformable moving objects under severe occlusions, in Proceedings of the IEEE Conference on Decision and Control, vol. 3, 2004, pp.2990-2995.

DOI: 10.1109/cdc.2004.1428922

Google Scholar