Collision-free robot paths

Abstract

A method for planning a path of a robot includes providing alternative target poses of the robot; providing environmental data which specify a geometry of an environment of the robot; evaluating the alternative target poses using a machine-learned prediction for a collision-free path for the particular target pose on the basis of these environmental data; selecting one of the alternative target poses as a target pose candidate on the basis of this evaluation; and carrying out path planning on the basis of this target pose candidate. A method for machine learning of the prediction includes providing alternative learning poses of the robot; providing in particular alternative environmental learning data which specify a geometry of an environment of the robot; carrying out path planning on the basis of these learning poses and environmental learning data; and machine learning of the prediction on the basis of the learning poses, environmental learning data and results of the path planning.

Dependencies are inferred from the claim text.