Abstract
When it comes to planning for joint human-agent activities one has to consider not only a flexible plan execution and social constraints but also the dynamic nature of humans. This can be done by providing human behavioral models about abilities and preferences and adapting these models to individual preferences during the interaction. The goal of this PhD is to examine whether this combination leads to more efficient human-aware planning components.
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References
Alili, S., Warnier, M., Ali, M., Alami, R.: Planning and plan-execution for human-robot cooperative task achievement. In: Proc. of the 19th ICAPS (2009)
Cirillo, M., Karlsson, L., Saffiotti, A.: Human-aware task planning: An application to mobile robots. ACM Trans. Intell. Syst. Technol. 1(2), 1–26 (2010)
Kirsch, A., Kruse, T., Mösenlechner, L.: An integrated planning and learning framework for human-robot interaction. In: Proc. of the 19th ICAPS (2009)
Klein, G., Woods, D.D., Bradshaw, J.M., Hoffmann, R.R., Feltovich, P.J.: Ten challenges for making automation a “team player” in joint human-agent activity. Human-Centered Computing 19(6), 91–95 (2004)
Lützenberger, M., et al.: JIAC V — A MAS framework for industrial applications (extended abstract). In: Proc. of the 12th AAMAS, pp. 1189–1190 (2013)
Montreuil, V., Clodic, A., Alami, R.: Planning human centered robot activities. In: Proc. of the ISIC 2007, pp. 2618–2623. IEEE (2007)
Myers, I.B., Byers, P.B.: Gifts Differing: Understanding Personality Type, 2 edn. Nicholas Brealey Publishing (May 1995)
Rosenthal, S., Biswas, J., Veloso, M.: An effective personal mobile robot agent through symbiotic human-robot interaction. In: Proc. of the 9th AAMAS (2010)
Salvit, J., Sklar, E.: Modulating agent behavior using human personality type. In: Proc. of the WS on HAIDM at 11th AAMAS, pp. 145–160 (2012)
Simon, H.A.: The Sciences of the Artifical, 3rd edn. MIT Press (October 1996)
Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Intro. MIT Press (1998)
Wooldridge, M.: Reasoning about Rational Agents. Intelligent Robotics and Autonomous Agents. The MIT Press (July 2000)
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Ahrndt, S. (2013). Improving Human-Aware Planning. In: Klusch, M., Thimm, M., Paprzycki, M. (eds) Multiagent System Technologies. MATES 2013. Lecture Notes in Computer Science(), vol 8076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40776-5_33
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DOI: https://doi.org/10.1007/978-3-642-40776-5_33
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