首页 /研究 /A genetic/interval approach to optimal trajectory planning of industrial robots under torque constraints
OTHER

A genetic/interval approach to optimal trajectory planning of industrial robots under torque constraints

Corrado Guarino Lo Bianco, Aurelio Piazzi

发表年份
1999
引用次数
6

摘要

In this paper an optimal trajectory planning problem for industrial multi-link robots is considered. Using a cubic polynomial joint interpolation scheme, a minimum time trajectory under torque constraints is planned via a global optimization algorithm proposed by the authors. This proposed optimization method takes into account a rigid-link full dynamics model. Numerical results for a two-link arm, related to a 10 knots trajectory, are reported.

关键词

TrajectoryTorqueInterval (graph theory)RobotControl theory (sociology)Interpolation (computer graphics)Genetic algorithmTrajectory optimizationLink (geometry)Mathematical optimization

相关论文

查看 OTHER 分类全部论文