Paper title: MULTI-AGENT EXPLORATION BASED ON CONSTRAINTS IMPOSED WITH GRAPH SEARCH ALGORITHMS
Author(s): BOGDAN-FLORIN FLOREA, OVIDIU GRIGORE, MIHAI DATCU,
Abstract: In this paper we present a constraint based strategy for collaborative spatial exploration. Using multiple agents and a set of soft
constraints modeled as costs we have developed a collaborative system where each agent chooses its next state optimally with
respect to compactness and distance based rules, which can model real-world soft constraints. Using random successor state
reordering, this exploration system is capable to obtain a stochastic behavior, yet keeping the path planning optimality at each
time step. The constraints are imposed at each time step by using graph search algorithms for planning the route to determine
the next location that should be visited by the intelligent agent.
Keywords: Autonomous agents, Cooperative systems, Intelligent robots, Mobile agents Year: 2017 | Tome: 62 | Issue: 1 | Pp.: 87-92
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