Cognition-enabled robotic wiping: Representation, planning, execution, and interpretation

Daniel Leidner, Georg Bartels, Wissam Bejjani, Alin Albu-Schäffer, Michael Beetz

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Advanced cognitive capabilities enable humans to solve even complex tasks by representing and processing internal models of manipulation actions and their effects. Consequently, humans are able to plan the effect of their motions before execution and validate the performance afterwards. In this work, we derive an analog approach for robotic wiping actions which are fundamental for some of the most frequent household chores including vacuuming the floor, sweeping dust, and cleaning windows. We describe wiping actions and their effects based on a qualitative particle distribution model. This representation enables a robot to plan goal-oriented wiping motions for the prototypical wiping actions of absorbing, collecting and skimming. The particle representation is utilized to simulate the task outcome before execution and infer the real performance afterwards based on haptic perception. This way, the robot is able to estimate the task performance and schedule additional motions if necessary. We evaluate our methods in simulated scenarios, as well as in real experiments with the humanoid service robot Rollin’ Justin.

Original languageEnglish
Pages (from-to)199-216
Number of pages18
JournalRobotics and Autonomous Systems
Volume114
DOIs
StatePublished - Apr 2019

Keywords

  • AI reasoning methods
  • Action and effect representation
  • Compliant manipulation
  • Service robotics

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