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AGENTS
1998
Springer
15 years 6 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
IVA
2005
Springer
15 years 7 months ago
Social Situated Agents in Virtual, Real and Mixed Reality Environments
Abstract. This paper details a framework for explicit deliberative control of socially and physically situated agents in virtual, real and mixed reality environments. The objective...
Mauro Dragone, Thomas Holz, Brian R. Duffy, Gregor...
ATAL
2010
Springer
15 years 2 months ago
A systematic agent framework for situated autonomous systems
We present a formal framework of an autonomous agent as a collection of coordinated control loops, with a recurring sense, plan, act cycle. Our framework manages the information f...
Frederic Py, Kanna Rajan, Conor McGann
ETFA
2008
IEEE
15 years 8 months ago
Optimal on-line (m, k)-firm constraint assignment for real-time control tasks based on plant state information
1 In this paper, we study the problem of scheduling a set of control tasks. We distinguish three different situations of states of controlled plants: not activated, steady state si...
Felicioni Flavia, Jia Ning, Françoise Simon...