Publication
Functional Mapping: Spatial Inferencing to aid Human-Robot Rescue Efforts in Unstructured Disaster Environments
Shanker Keshavdas; Hendrik Zender; Geert-Jan Kruijff; M. Liu; F. Colas
In: Proceedings of the 2012 AAAI Spring Symposium on Designing Intelligent Robots. AAAI Spring Symposium (AAAI SSS-2012), AAAI Spring Symposium: Designing Intelligent Robots, March 26-28, Stanford, CA, USA, AAAI Press, 2012.
Abstract
In this paper we examine the case of a mobile robot
that is part of a human-robot urban search and rescue
(USAR) team. During USAR scenarios, we would like
the robot to have a geometrical-functional understand-
ing of space, using which it can infer where to perform
planned tasks in a manner that mimics human behav-
ior. We assess the situation awareness of rescue work-
ers during a simulated USAR scenario and use this as an
empirical basis to build our robot's spatial model. Based
upon this spatial model, we present "functional map-
ping"; as an approach to identify regions in the USAR
environment where planned tasks are likely to be opti-
mally achievable. The system is deployed and evaluated
in a simulated rescue scenario.