Short-Term Human Robot Interaction through Conditional Planning and Execution

Valerio Sanelli, Michael Cashmore, Luca Iocchi, Daniele Magazzeni

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

18 Citations (Scopus)
99 Downloads (Pure)

Abstract

The deployment of robots in public environments is gaining
more and more attention and interest both for the research
opportunities and for the possibility of developing commercial
applications over it. In these scenarios, proper definitions
and implementations of human-robot interactions are crucial
and the specific characteristics of the environment (in particular,
the presence of untrained users) makes the task of defining
and implementing effective interactions particularly challenging.
In this paper, we describe a method and a fully implemented
robotic system using conditional planning for generating and
executing short-term interactions by a robot deployed in a
public environment. To this end, the proposed method integrates
and extends two components already successfully used
for planning in robotics: ROSPlan and Petri Net Plans.
The contributions of this paper are the problem definition of
generating short-term interactions as a conditional planning
problem and the description of a solution fully implemented
on a real robot. The proposed method is based on the integration
between a contingent planner in ROSPlan and the Petri
Net Plans execution framework, and it has been tested in different
scenarios where the robot interacted with hundreds of
untrained users.
Original languageEnglish
Title of host publicationProceedings of the 27th International Conference on Automated Planning and Scheduling, ICAPS 2017
PublisherAAAI Press
Pages540-548
ISBN (Electronic)9781577357896
Publication statusPublished - 2017

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