2009
DOI: 10.1007/s10489-009-0164-0
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Adaptive behaviors of reactive mobile robot with Bayesian inference in nonstationary environments

Abstract: This paper presents a technique for a reactive mobile robot to adaptively behave in unforeseen and dynamic circumstances. A robot in nonstationary environments needs to infer how to adaptively behave to the changing environment. Behavior-based approach manages the interactions between the robot and its environment for generating behaviors, but in spite of its strengths of fast response, it has not been applied much to more complex problems for highlevel behaviors. For that reason many researchers employ a beha… Show more

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Cited by 6 publications
(1 citation statement)
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“…Recently, the hybrid systems have been applied to various problems with diverse approaches. Bayesian networks and behaviour networks are combined to generate robot's behaviours [16] and a planning function was attached to the reactive system for the same purpose [17].…”
Section: Hybrid Control Systemsmentioning
confidence: 99%
“…Recently, the hybrid systems have been applied to various problems with diverse approaches. Bayesian networks and behaviour networks are combined to generate robot's behaviours [16] and a planning function was attached to the reactive system for the same purpose [17].…”
Section: Hybrid Control Systemsmentioning
confidence: 99%