Bio-Inspired Multimodal Imaging in Reduced Visibility

Multimodal Bio-Inspired Tactile Sensing Module for Surface Characterization †

Robots are expected to recognize the properties of objects in order to handle them safely and efficiently in a variety of applications, such as health and elder care, manufacturing, or high-risk environments. This paper explores the issue of surface characterization by monitoring the signals acquired by a novel bio-inspired tactile probe in contact with ridged surfaces. The tactile module compr...

Bio-Inspired Sensing and Imaging of Polarization Information in Nature

Our unaided eyes can detect two of the characteristics of image-forming visible light from a scene, namely, the intensity and the wavelength, which can then be encoded into perceptual qualities of brightness and color. Our eyes, however, are effectively blind to the third characteristic of light, its polarization. It is well known, however, that several species of animals have visual systems ca...

Microwave Diversity Imaging Compression Using Bio- inspired Neural Networks

In this paper a novel bio-inspired neural network (BINN) has been created for microwave diversity imaging compression. This work focuses on, firstly incorporating BINN and back propagation learning into a multiresolution, and secondly, training the highpass channel for perfect reconstruction so that the BINN filterbank within realistic coding conditions. Experiments have shown the robustness an...

Bio-inspired Grammatical Inference

The field of Grammatical Inference was originally motivated by the problem of natural language acquisition. However, the formal models proposed within this field have left aside this linguistic motivation. In this paper, we propose to improve models and techniques used in Grammatical Inference by using ideas coming from linguistic studies. In that way, we try to give a new bio-inspiration to th...

Bio-Inspired Computing Architectures