Intelligent Systems Lab Amsterdam

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Reasoning with Uncertainty

Reasoning with Uncertainty in Robotics

Objective

In a joint project with the ILLC (Institute of Logic, Language and Computation) we study the issues in robot surveillance on optimal decision making on uncertain information. The sample problem is a robot checking a building for fires.

Research group members

drs Nikos Massios
dr ir Leo Dorst
dr Frans Voorbraak (now at AMC)
prof dr Michiel van Lambalgen (ILLC)
prof dr ir Frans Groen

Funding

University of Amsterdam

Research Achievements

We do not solve the decision problem using a standard MDP or POMDP method, but prefer to use an abstraction strategy which takes into account the geometrical structure of the building that is explored. We have investigated various strategies to work in this abstraction; different surveillance strategies work best depending on the scenario, but we hope to design a decision procedure intimately related to the abstraction chosen that outperforms the others in most scenarios. The effect of the abstraction, and possibly its automation, will be studied.

More information

project page (includes some demos).

Maintained by Bas Terwijn. Last edited on Mon, 25 Jan 2010 13:38:54 +0100