Multi-Constrained Optimal Control of 3D Robotic Arm Manipulators
Author:
Affiliation:
1. Royal Melbourne Institute of Technology
2. Kanagawa Institute of Technology
3. Tokyo Metropolitan University
Publisher
Japan Society for Aeronautical and Space Sciences
Link
https://www.jstage.jst.go.jp/article/astj/9/0/9_0_23/_pdf
Reference16 articles.
1. 1)Yang, S. X. and Meng, M.: An Efficient Neural Network Approach to Dynamic Robot Motion Planning, Neural Networks, 13 (2000), pp 143-148.
2. 2)Piazzi, A. and Visioli, A.: Global Minimum-jerk Trajectory Planning of Robot Manipulators, IEEE Trans. Industrial Electronics, 47 (2000), pp.140-149.
3. 3)Edan, Y., Flash, T., Peiper, U. M., Shmulevich, I. and Sarig, Y.: Near-minimum-time Task Planning for Fruit-picking Robots, IEEE Trans. Robot. Auto., 7 (1991), pp.48-56.
4. 4)Williams, P. and Trivailo, P.: Optimal Motion Planning and Tracking Control for a Flexible Manipulator, 56th International Astronautical Congress, Fukuoka, Japan, Oct. 2005, Paper IAC-05-C1.P.14.
5. 5)Trivailo, P. M.: Non-Linear Dynamic Modelling of Composite Systems of Multiple Flexible Robotic Manipulators, Paper IAC-06-C2.3.07., 57th International Astronautical Federation Congress, Valencia, Spain, 2006.
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