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This paper presents an emotion inspired adaptive path planning approach for autonomous robotic navigation. Ideally a robotic navigation system should adapt its path planning and behaviour to overcome a variety of obstacles within an environment, without the need for single location planning approaches. Emotional analogies are appealing as they enable general planning, but require hard coding of ‘emotions’...
We seek a robust and generic control and navigation system for implementation on a diverse fleet of mobile robots capable of autonomous application. We establish a hybrid reactive-deliberative architecture using a combination of directional and velocity control. As the robots interact with their environment under this control architecture, they will be subject to various positive and negative stimuli...
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