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109
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AROBOTS
2008
104views more  AROBOTS 2008»
15 years 3 months ago
Modeling dynamic scenarios for local sensor-based motion planning
This paper addresses the modeling of the static and dynamic parts of the scenario and how to use this information with a sensor-based motion planning system. The contribution in th...
Luis Montesano, Javier Minguez, Luis Montano
129
Voted
BC
2008
134views more  BC 2008»
15 years 3 months ago
Interacting with an artificial partner: modeling the role of emotional aspects
In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated a...
Isabella Cattinelli, Massimiliano Goldwurm, N. Alb...
111
Voted
CORR
2010
Springer
106views Education» more  CORR 2010»
15 years 3 months ago
MDPs with Unawareness
Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision mak...
Joseph Y. Halpern, Nan Rong, Ashutosh Saxena
DAM
2008
69views more  DAM 2008»
15 years 3 months ago
Impact of memory size on graph exploration capability
A mobile agent (robot), modeled as a finite automaton, has to visit all nodes of a regular graph. How does the memory size of the agent (the number of states of the automaton) inf...
Pierre Fraigniaud, David Ilcinkas, Andrzej Pelc
144
Voted
EC
2008
164views ECommerce» more  EC 2008»
15 years 3 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
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