IROS 2017poster49 citations

Reactive synthesis for finite tasks under resource constraints

Keliang He, Morteza Lahijanian, Lydia E. Kavraki, Moshe Y. Vardi

Abstract

There are many applications where robots have to operate in environments that other agents can change. In such cases, it is desirable for the robot to achieve a given high-level task despite interference. Ideally, the robot must decide its next action as it observes the changes in the world, i.e. act reactively. In this paper, we consider a reactive planning problem for finite robotic tasks with resource constraints. The task is represented using a temporal logic for finite behaviors and the robot must achieve the task using limited resources under all possible finite sequences of moves of other agents. We present a formulation for this problem and an approach based on quantitative games. The efficacy of the approach is demonstrated through a manipulation case study.

BibTeX
@inproceedings{iros2017_reactivesynthesi,
  title = {Reactive synthesis for finite tasks under resource constraints},
  author = {Keliang He and Morteza Lahijanian and Lydia E. Kavraki and Moshe Y. Vardi},
  booktitle = {IROS 2017},
  year = {2017}
}
Reactive synthesis for finite tasks under resource constraints · IROS 2017