Abstract
The trajectory planning of redundant robots is an important area of research and efficient optimization algorithms have been investigated in the last years. This paper presents a new technique that combines the closed-loop pseudoinverse method with genetic algorithms. In this case the trajectory planning is formulated as an optimization problem with constraints.
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Marcos, M.d.G., Machado, J.A.T., Azevedo-Perdicoúlis, TP. (2011). Evolutionary Trajectory Optimization for Redundant Robots. In: Machado, J., Luo, A., Barbosa, R., Silva, M., Figueiredo, L. (eds) Nonlinear Science and Complexity. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9884-9_40
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DOI: https://doi.org/10.1007/978-90-481-9884-9_40
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-9883-2
Online ISBN: 978-90-481-9884-9
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