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» Complexity of Planning with Partial Observability
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CORR
2011
Springer
219views Education» more  CORR 2011»
13 years 2 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
CCE
2007
13 years 9 months ago
A Web Services based Approach for System on a Chip Design Planning
: The concept of Virtual Organisation (VO) offers various solutions to management, collaboration and coordination issues important for distributed collaborating teams. Deployment o...
Maciej Witczynski, Edward Hrynkiewicz, Adam Pawlak
ICRA
2007
IEEE
167views Robotics» more  ICRA 2007»
14 years 2 months ago
Planar batting under shape, pose, and impact uncertainty
— This paper explores the planning and control of a manipulation task accomplished in conditions of high uncertainty. Statistical techniques, like particle filters, provide a fr...
Jiaxin L. Fu, Siddhartha S. Srinivasa, Nancy S. Po...
UAI
2008
13 years 9 months ago
Sampling First Order Logical Particles
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
Hannaneh Hajishirzi, Eyal Amir
JAIR
2002
120views more  JAIR 2002»
13 years 7 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling