The present thesis aims at proposing a new oscillatory neural network and at implementating using a massively parallel architecture, which is suitable to the implementation of digital vision chips for image segmentation. The final version of the proposed network called ONNIS-GI (Oscillatory Neural Network for Image Segmentation with Global Inhibition) was inspired on a network called LEGION (Lo...

This report documents the design and implementation of a binocular, foveated active vision system as part of the Cog project at the MIT Artificial Intelligence Laboratory. The active vision system features a 3 degree of freedom mechanical platform that supports four color cameras, a motion control system, and a parallel network of digital signal processors for image processing. To demonstrate t...

In this article, we present the kinematic calibration of a H4 parallel robot using a vision-based measuring device. Calibration is performed according to the inverse kinematic model method, using first the design model then a model developed for calibration purpose. To do so, the end-effector pose has to be measured with the utterst accuracy. Thus, we first evaluate the practical accuracy of ou...

In this article, we present the kinematic calibration of a H4 parallel robot using a vision-based measuring device. Calibration is performed according to the inverse kinematic model method, using first the design model then a model developed for calibration purpose. With a precision of the order of magnitude of 0.2mm and 0.03◦, our vision system allowed us to obtain a final positioning accuracy...

This report documents the design and implementation of a binocular, foveated active vision system as part of the Cog project at the MIT Artificial Intelligence Laboratory. The active vision system features a 3 degree of freedom mechanical platform that supports four color cameras, a motion control system, and a parallel network of digital signal processors for image processing. To demonstrate t...