Description
In this work a geometrical and a physically based method for the detection of singularities are presented, which provide information about the distance of a given position to singularities. The integration of this singularity detection into a robot controller is presented and validated by experimental results. Based on these results a path planning algorithm that avoids singularities is developed. It uses a particle based randomizing scheme for finding a path within the workspace to which a virtual potential field is applied. The HexaII demonstrator of the Collaborative Research Center 562 serves as a validation platform for this algorithm. The singularity avoidance path planner is integrated into the real-time context of the control application RCA562, from which experimental results are presented.
