Intelligence without representation
Artificial Intelligence
Learning from History for Behavior-Based Mobile Robots in Non-Stationary Conditions
Machine Learning - Special issue on learning in autonomous robots
An Behavior-based Robotics
Complex structure workspace sweeping using semiautonomous vacuum cleaners
WSEAS Transactions on Systems and Control
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This paper presents the novel method of data representation in behaviour based systems. The process of environmental maps building based on behaviour activity trace is described in this work. The proposed method enables to create imprecise map of the robot workspace using only behaviours activity sequences instead of direct sensory information. Such approach implies the method can work well even with low cost, inaccurate range sensors. Effectiveness of discussed method is proven by simulation examples.