Evolutionary trajectory optimization for redundant robots
Data(s) |
17/03/2014
17/03/2014
2011
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Resumo |
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. |
Identificador |
DOI 10.1007/978-90-481-9884-9_40 978-90-481-9883-2 978-90-481-9884-9 http://hdl.handle.net/10400.22/4213 10.1007/978-90-481-9884-9_40 |
Idioma(s) |
eng |
Publicador |
Springer |
Relação |
Nonlinear Science and Complexity; http://link.springer.com/chapter/10.1007%2F978-90-481-9884-9_40 |
Direitos |
openAccess |
Tipo |
bookPart |
Palavras-Chave | #Redundant manipulators #Kinematics #Genetic algorithms #Trajectory planning |