IROS 2016poster33 citations

Autonomous flipper control with safety constraints

Martin Pecka, Vojtěch Šalanský, Karel Zimmermann, Tomáš Svoboda

Abstract

Policy Gradient methods require many real-world trials. Some of the trials may endanger the robot system and cause its rapid wear. Therefore, a safe or at least gentle-to-wear exploration is a desired property. We incorporate bounds on the probability of unwanted trials into the recent Contextual Relative Entropy Policy Search method. The proposed algorithm is evaluated on the task of autonomous flipper control for a real Search and Rescue rover platform.

BibTeX
@inproceedings{iros2016_autonomousflippe,
  title = {Autonomous flipper control with safety constraints},
  author = {Martin Pecka and Vojtěch Šalanský and Karel Zimmermann and Tomáš Svoboda},
  booktitle = {IROS 2016},
  year = {2016}
}
Autonomous flipper control with safety constraints · IROS 2016