Dr Nick Hawes

Reader in Autonomous Intelligent Robotics

School of Computer Science
University of Birmingham
Edgbaston, Birmingham, B15 2TT
United Kingdom

Email: n.a.hawes@cs.bham.ac.uk
Twitter: @hawesie
Phone: +44 (0) 121 41 43739
Office: 133 (first floor, back right)
Office Hours: Mon 12:00, Tues 11:00 (term-time only)
Availability: Doodle MeetMe
[kruijffetal08roman] Geert-Jan Kruijff, Michael Brenner and Nick Hawes. Continual Planning for Cross-Modal Situated Clarification in Human-Robot Interaction. In Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2008), pages 592--597, IEEE. August 2008. [pdf] [bib]
Abstract. Robots do not fully understand the world they are situated in. This includes what humans talk to them about. A fundamental problem is thus how a robot can clarify such a lack of understanding. This paper addresses the issue of how a robot can create a plan for resolving a need for clarification. It characterises situated clarification as an information need which may arise in any sensory-motoric modality required to interpret the situated context of the robot, or any deliberative modality referring to that context. It then focuses on how, once a clarification need has been identified, the robot can create a plan in which one or more modalities are used to resolve it. Modalities are involved on the basis of the types of information they can provide. These information types are identified in the ontologies the modalities use to interconnect their content with content of other modalities (via information fusion). We take a continual approach to planning and execution monitoring. This provides the ability to re-plan depending on modality availability and success in resolving (part of) a clarification need. We illustrate the implementation on several examples.
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