Dayal Ramakrushna Parhi

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Navigation of mobile robots remains one of the most challenging functions to carry out. Potential Field Method (PFM) is rapidly gaining popularity in navigation and obstacle avoidance applications for mobile robots because of its elegance. Here a modified potential field method for robots navigation has been described. The developed potential field function(More)
In this paper, a Petri-potential-fuzzy hybrid controller (PFHC) for obstacle avoidance and target seeking navigational behaviour ofmultiplemobile robots in unknowncluttered environments is presented. Based upon a reference motion, direction; distances between the robots and obstacles; distances between the robots and targets are given as inputs to the(More)
Intelligent path planning of multiple mobile robots has been addressed in this paper. Cooperative behaviour can be achieved using several mobile robots, which require online inter-communication among themselves. In the present investigation rule-based and rule-based-neuro-fuzzy techniques are analyzed formultiplemobile robots navigation in an unknown or(More)
This paper deals with motion control of an autonomous mobile robot using an intelligent multi-layer perceptron (MLP) and radial basis function (RBF) neural network based techniques. Obstacle avoidance and target seeking are the two most important behaviors in the proposed research. The ANN based controller is trained using 100 training patterns so that(More)
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