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AIPS
2007
15 years 2 months ago
A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans
Autonomous systems operating in real-world environments must be able to plan, schedule, and execute missions while robustly adapting to uncertainty and disturbances. Previous work...
Julie A. Shah, John Stedl, Brian C. Williams, Paul...
119
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AIPS
2009
15 years 1 months ago
Flexible Execution of Plans with Choice
Dynamic plan execution strategies allow an autonomous agent to respond to uncertainties while improving robustness and reducing the need for an overly conservative plan. Executive...
Patrick R. Conrad, Julie A. Shah, Brian C. William...
ISLPED
1998
ACM
79views Hardware» more  ISLPED 1998»
15 years 4 months ago
Voltage scheduling problem for dynamically variable voltage processors
This paper presents a model of dynamically variable voltage processor and basic theorems for power-delay optimization. A static voltage scheduling problem is also proposed and for...
Tohru Ishihara, Hiroto Yasuura
COR
2010
101views more  COR 2010»
15 years 10 days ago
Constraint-specific recovery network for solving airline recovery problems
In this paper, we consider the recovery of an airline schedule after an unforeseen event called disruption, making the planned schedule infeasible. We present a modeling framework...
Niklaus Eggenberg, Matteo Salani, Michel Bierlaire
AAAI
2008
15 years 2 months ago
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
Masahiro Ono, Brian C. Williams