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» Representing Uncertainty in RuleML
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SIGGRAPH
2010
ACM
14 years 11 days ago
Optimizing walking controllers for uncertain inputs and environments
We introduce methods for optimizing physics-based walking controllers for robustness to uncertainty. Many unknown factors, such as external forces, control torques, and user contr...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 6 months ago
Rao-Blackwellized particle filtering for probing-based 6-DOF localization in robotic assembly
This paper presents a probing-based method for probabilistic localization in automated robotic assembly. We consider peg-in-hole problems in which a needle-like peg has a single p...
Yuichi Taguchi, Tim K. Marks, Haruhisa Okuda
ANOR
2004
143views more  ANOR 2004»
13 years 7 months ago
Model Independent Parametric Decision Making
Accurate knowledge of the effect of parameter uncertainty on process design and operation is essential for optimal and feasible operation of a process plant. Existing approaches de...
Ipsita Banerjee, Marianthi G. Ierapetritou
VLDB
2005
ACM
140views Database» more  VLDB 2005»
14 years 1 months ago
OLAP Over Uncertain and Imprecise Data
We extend the OLAP data model to represent data ambiguity, specifically imprecision and uncertainty, and introduce an allocation-based approach to the semantics of aggregation qu...
Douglas Burdick, Prasad Deshpande, T. S. Jayram, R...
IJCAI
2003
13 years 9 months ago
Temporal Reasoning with Preferences and Uncertainty
Temporal Constraint Satisfaction Problems allow for reasoning with events happening over time. Their expressiveness has been extended independently in two directions: to account f...
Neil Yorke-Smith, Kristen Brent Venable, Francesca...