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» Online Planning Algorithms for POMDPs
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AAAI
2000
15 years 3 months ago
Predicting Future User Actions by Observing Unmodified Applications
Intelligent user interfaces often rely on modified applications and detailed application models. Such modifications and models are expensive to build and maintain. We propose to a...
Peter Gorniak, David Poole
ICRA
2009
IEEE
110views Robotics» more  ICRA 2009»
15 years 8 months ago
Reactive grasping using optical proximity sensors
— We propose a system for improving grasping using fingertip optical proximity sensors that allows us to perform online grasp adjustments to an initial grasp point without requi...
Kaijen Hsiao, Paul Nangeroni, Manfred Huber, Ashut...
UIST
2003
ACM
15 years 7 months ago
Rhythm modeling, visualizations and applications
People use their awareness of others' temporal patterns to plan work activities and communication. This paper presents algorithms for programatically detecting and modeling t...
James Begole, John C. Tang, Rosco Hill
142
Voted
ECML
2007
Springer
15 years 5 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
IROS
2008
IEEE
142views Robotics» more  IROS 2008»
15 years 8 months ago
Probabilistic mapping of dynamic obstacles using Markov chains for replanning in dynamic environments
— Robots acting in populated environments must be capable of safe but also time efficient navigation. Trying to completely avoid regions resulting from worst case predictions of...
Florian Rohrmüller, Matthias Althoff, Dirk Wo...