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» Representing and generating uncertainty effectively
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IROS
2006
IEEE
171views Robotics» more  IROS 2006»
16 years 8 days ago
Cognitive Robotic Engine for HRI
– A “Cognitive Robotic Engine (CRE)” that generates perceptual and action behaviors to select and collect an optimal set of evidences has been introduced previously by the au...
Sukhan Lee, Hun-Sue Lee, Dong-Wook Shin
ICRA
2000
IEEE
236views Robotics» more  ICRA 2000»
15 years 10 months ago
A General Learning Approach to Multisensor Based Control using Statistic Indices
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...
Yorck von Collani, Markus Ferch, Jianwei Zhang, Al...
WSC
2004
15 years 7 months ago
Visual Modeling of Business Problems: Workflow and Patterns
Computer-based business analysis relies on models, or algorithmic representations of the business process. Real-life business problems can become very complex, which creates diffi...
Lev Virine, Jason McVean
AAAI
1994
15 years 7 months ago
Just-In-Case Scheduling
This paper presents an algorithm, called JustIn-Case Scheduling, for building robust schedules that tend not to break. The algorithm implements the common sense idea of being prep...
Mark Drummond, John L. Bresina, Keith Swanson
AAAI
1996
15 years 7 months ago
Total-Order Multi-Agent Task-Network Planning for Contract Bridge
This paper describes the results of applying a modified version of hierarchical task-network (HTN) planning to the problem of declarer play in contract bridge. We represent inform...
Stephen J. J. Smith, Dana S. Nau, Thomas A. Throop