Behavioural Learning: Neural Control of a Visual Sensor
The visual sensing system presented in this paper has been developed in the context of a research aimed at joining Robotics and Machine Learning. In particular, the main overall goal is to enhance a robotic architecture by means of both symbolic and sub-symbolic learning capabilities. The application case is related to navigation and assembly tasks.
This work was partially funded by-the ESPRIT Basic Research project 7274 “Behavioural Learning: Combining Sensing and Action”.
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- 2.Z. Li and L. Uhr “Pyramid vision using key features to integrate image- driven bottom-up and model-driven top-down processes”, IEEE Trans, on System, Man & Cybernetics, pp. 422–428, March/April 1989.Google Scholar