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» Detecting Execution Failures Using Learned Action Models
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AAAI
2007
13 years 7 months ago
Detecting Execution Failures Using Learned Action Models
reason with abstracted models of the behaviours they use to construct plans. When plans are turned into the instructions that drive an executive, the real behaviours interacting w...
Maria Fox, Jonathan Gough, Derek Long
AGENTS
1998
Springer
13 years 9 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
FUIN
2007
130views more  FUIN 2007»
13 years 4 months ago
A Logic-Based Approach to Finding Explanations for Discrepancies in Optimistic Plan Execution
Abstract. Consider an agent executing a plan with nondeterministic actions, in a dynamic environment, which might fail. Suppose that she is given a description of this action domai...
Thomas Eiter, Esra Erdem, Wolfgang Faber, Já...
KI
2005
Springer
13 years 10 months ago
Diagnosis of Plan Execution and the Executing Agent
We discuss the application of Model-Based Diagnosis in (agent-based) planning. Here, a plan together with its executing agent is considered as a system to be diagnosed. It is assum...
Nico Roos, Cees Witteveen
RAS
2008
84views more  RAS 2008»
13 years 4 months ago
Monitoring the execution of robot plans using semantic knowledge
Even the best laid plans can fail, and robot plans executed in real world domains tend to do so often. The ability of a robot to reliably monitor the execution of plans and detect...
Abdelbaki Bouguerra, Lars Karlsson, Alessandro Saf...