Thomas Fridolin Iversen

Kernel density estimation based self-learning sampling strategy for motion planning of repetitive tasks

This paper introduces a new sampling strategy and shows that superior performance can be obtained for a range of sampling based robotic motion planners, used in scenarios with low task variance, as found in many vision guided pick and place operations. The strategy uses kernel density estimation to…