Abstract
This article proposes a systematic approach for validating the trajectories generated by a motion planning method in presence of obstacles for parallel manipulators having less than 6 degrees of freedom (d.o.f.s). The planning algorithm is based on combining a quick random search algorithm together with an optimization method, which aims to obtain feasible and reliable trajectories. The validation approach uses a probabilistic method, which includes Kalman filtering of experimental data. Experimental tests have been carried out by operating a Cassino Parallel Manipulator (CaPaMan) prototype at LARM in Cassino. Results are reported and discussed to show the effectiveness of the proposed approach to generate and validate suitable collision-free trajectories for parallel manipulators.
ACKNOWLEDGMENTS
O. Selvi author wishes to thank Izmir Institute of Technology and Dr. Rasim Alizade for supporting of six months stay at LARM in 2010 within Erasmus-Socrates Program.
Notes
#Communicated by M. Ceccarelli and V. Mata.