Simulation-based Learning of the Peg-in-Hole Process Using Robot-Skills
Arik Lämmle,Philipp Tenbrock,Balázs Bálint,Frank Nägele,Werner Kraus,József Váncza,Marco F. Huber,Arik Lämmle,Philipp Tenbrock,Balázs Bálint,Frank Nägele,Werner Kraus,József Váncza,Marco F. Huber
Increasingly volatile markets challenge companies and demand flexible production systems that can be quickly adapted to new conditions. Machine Learning has proven to show significant potential in supporting the human operator during the time-consuming and complex task of robot pro-gramming by identifying relevant parameters of the underlying robot control program. We present a solution to learn t...
