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Research with Collaborative Unmanned Aircraft Systems

Authors: Patrick Doherty, Jonas Kvarnström, Fredrik Heintz, D. Landen, and P.-M. Olsson

Published in: Dagstuhl Seminar Proceedings, Volume 10081, Cognitive Robotics (2010)

Abstract

We provide an overview of ongoing research which targets development of a principled framework for mixed-initiative interaction with unmanned aircraft systems (UAS). UASs are now becoming technologically mature enough to be integrated into civil society. Principled interaction between UASs and human resources is an essential component in their future uses in complex emergency services or bluelight scenarios. In our current research, we have targeted a triad of fundamental, interdependent conceptual issues: delegation, mixed- initiative interaction and adjustable autonomy, that is being used as a basis for developing a principled and well-defined framework for interaction. This can be used to clarify, validate and verify different types of interaction between human operators and UAS systems both theoretically and practically in UAS experimentation with our deployed platforms.

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Patrick Doherty, Jonas Kvarnström, Fredrik Heintz, D. Landen, and P.-M. Olsson. Research with Collaborative Unmanned Aircraft Systems. In Cognitive Robotics. Dagstuhl Seminar Proceedings, Volume 10081, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{doherty_et_al:DagSemProc.10081.13,
  author =	{Doherty, Patrick and Kvarnstr\"{o}m, Jonas and Heintz, Fredrik and Landen, D. and Olsson, P.-M.},
  title =	{{Research with Collaborative Unmanned Aircraft Systems}},
  booktitle =	{Cognitive Robotics},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10081},
  editor =	{Gerhard Lakemeyer and Hector J. Levesque and Fiora Pirri},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10081.13},
  URN =		{urn:nbn:de:0030-drops-26300},
  doi =		{10.4230/DagSemProc.10081.13},
  annote =	{Keywords: Multi-agent systems, robotics, human-robot interaction, delegation}
}

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DOI: 10.4230/DagSemProc.10081.16

Stream-Based Reasoning in DyKnow

Authors: Fredrik Heintz, Jonas Kvarnström, and Patrick Doherty

Published in: Dagstuhl Seminar Proceedings, Volume 10081, Cognitive Robotics (2010)

Abstract

The information available to modern autonomous systems is often in the form of streams. As the number of sensors and other stream sources increases there is a growing need for incremental reasoning about the incomplete content of sets of streams in order to draw relevant conclusions and react to new situations as quickly as possible. To act rationally, autonomous agents often depend on high level reasoning components that require crisp, symbolic knowledge about the environment. Extensive processing at many levels of abstraction is required to generate such knowledge from noisy, incomplete and quantitative sensor data. We define knowledge processing middleware as a systematic approach to integrating and organizing such processing, and argue that connecting processing components with streams provides essential support for steady and timely flows of information. DyKnow is a concrete and implemented instantiation of such middleware, providing support for stream reasoning at several levels. First, the formal kpl language allows the specification of streams connecting knowledge processes and the required properties of such streams. Second, chronicle recognition incrementally detects complex events from streams of more primitive events. Third, complex metric temporal formulas can be incrementally evaluated over streams of states. DyKnow and the stream reasoning techniques are described and motivated in the context of a UAV traffic monitoring application.

Cite as

Fredrik Heintz, Jonas Kvarnström, and Patrick Doherty. Stream-Based Reasoning in DyKnow. In Cognitive Robotics. Dagstuhl Seminar Proceedings, Volume 10081, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{heintz_et_al:DagSemProc.10081.16,
  author =	{Heintz, Fredrik and Kvarnstr\"{o}m, Jonas and Doherty, Patrick},
  title =	{{Stream-Based Reasoning in DyKnow}},
  booktitle =	{Cognitive Robotics},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10081},
  editor =	{Gerhard Lakemeyer and Hector J. Levesque and Fiora Pirri},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10081.16},
  URN =		{urn:nbn:de:0030-drops-26274},
  doi =		{10.4230/DagSemProc.10081.16},
  annote =	{Keywords: Knowledge representation, autonomous systems, stream-based reasoning}
}

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Documents authored by Kvarnström, Jonas

Research with Collaborative Unmanned Aircraft Systems

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Stream-Based Reasoning in DyKnow

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