This book tackles all the stages and mechanisms involved in the learning of manipulation tasks by bimanual robots in unstructured settings, as it can be the task of folding clothes. The first part describes how to build an integrated system, capable of properly handling the kinematics and dynamics of the robot along the learning process.
“Readers familiar with robotic manipulation will appreciate this work the most, as it is situated in the most recent journal articles and conference papers.” (Benjamin Wells, Computing Reviews, February 16, 2021)“This book should be of interest to practicing and research engineers as well as Ph.D. students in the area of robotics and artificial intelligence in engineering practices and applications.” (Clementina Mladenova, zbMATH 1436.93001, 2020)
Innehållsförteckning
Introduction.- State of the art.- Inverse kinematics and relative arm positioning.- Robot compliant control.- Preliminaries.- Sampling efficiency in learning robot motion.- Dimensionality reduction with MPs.- Generating and adapting ProMPs.- Conclusions.