chap11.bib

@INPROCEEDINGS{Hawes/etal:2007,
  AUTHOR = {Nick Hawes and Michael Zillich and Jeremy Wyatt},
  TITLE = {{BALT} \& {CAST}: Middleware for Cognitive Robotics},
  BOOKTITLE = {Proceedings of IEEE RO-MAN 2007},
  YEAR = {2007},
  PAGES = {998 -- 1003},
  MONTH = {August},
  ABSTRACT = {In this paper we present a toolkit for implementing architectures
	for intelligent robotic systems. This toolkit is based on an architecture
	schema (a set of architecture design rules). The purpose of both
	the schema and toolkit is to facilitate research into information-processing
	architectures for state-of-the-art intelligent robots, whilst providing
	engineering solutions for the development of such systems. A robotic
	system implemented using the toolkit is presented to demonstrate
	its key features.},
  DATE-ADDED = {2009-01-02 13:27:34 +0000},
  DATE-MODIFIED = {2009-01-06 09:03:50 +0000},
  KEYWORDS = {cosy, cast, integration; irlab},
  LOCATION = {Jeju, Korea},
  URL = {http://www.cognitivesystems.org/publications/hawesetal07cast.pdf}
}

@INPROCEEDINGS{Kruijff/etal:2008,
  AUTHOR = {G.J.M. Kruijff and M. Brenner and N.A. Hawes},
  TITLE = {Continual Planning for Cross-Modal Situated Clarification in Human-Robot
	Interaction},
  BOOKTITLE = {Proceedings of the 17th International Symposium on Robot and Human
	Interactive Communication (RO-MAN 2008)},
  YEAR = {2008},
  ADDRESS = {Munich, Germany},
  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.},
  DATE-ADDED = {2009-01-03 11:06:53 +0000},
  DATE-MODIFIED = {2009-01-06 09:03:50 +0000},
  KEYWORDS = {cosy, binding, language; irlab},
  URL = {http://www.cognitivesystems.org/publications/kruijffetal08roman.pdf}
}


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