Autonomous Robots

, 28:21

Generality and legibility in mobile manipulation

Learning skills for routine tasks

Authors

  • Michael Beetz
    • Intelligent Autonomous Systems Group, Department of InformaticsTechnische Universität München
  • Freek Stulp
    • Intelligent Autonomous Systems Group, Department of InformaticsTechnische Universität München
  • Piotr Esden-Tempski
    • Intelligent Autonomous Systems Group, Department of InformaticsTechnische Universität München
  • Andreas Fedrizzi
    • Intelligent Autonomous Systems Group, Department of InformaticsTechnische Universität München
  • Ulrich Klank
    • Intelligent Autonomous Systems Group, Department of InformaticsTechnische Universität München
    • Intelligent Autonomous Systems Group, Department of InformaticsTechnische Universität München
  • Alexis Maldonado
    • Intelligent Autonomous Systems Group, Department of InformaticsTechnische Universität München
  • Federico Ruiz
    • Intelligent Autonomous Systems Group, Department of InformaticsTechnische Universität München
Article

DOI: 10.1007/s10514-009-9152-9

Cite this article as:
Beetz, M., Stulp, F., Esden-Tempski, P. et al. Auton Robot (2010) 28: 21. doi:10.1007/s10514-009-9152-9

Abstract

This article investigates methods for achieving more general manipulation capabilities for mobile manipulation platforms, which produce legible behavior in human living environments. To achieve generality and legibility, we combine two control mechanisms. First of all, experience- and observation-based learning of skills is applied to routine tasks, so that the repetitive and stereotypical character of everyday activity is exploited. Second, we use planning, reasoning, and search for novel tasks which have no stereotypical solution. We apply these ideas to the learning and use of action-related places, to the model-based visual recognition and localization of objects, and the learning and application of reaching strategies and motions from humans. We demonstrate the integration of these mechanisms into a single low-level control system for autonomous manipulation platforms.

Keywords

Manipulation Human environments Planning Low-level control Grasping Reaching Computer vision

Copyright information

© Springer Science+Business Media, LLC 2009