Neuromorphic Computing Architectures for Robot Vision in Marine Harsh Environments

Overview

Abstract

The design of robots that interact autonomously with the environment and exhibit complex behaviors is an open challenge that can benefit from understanding what makes living beings fit to act in the world. Neuromorphic engineering studies neural computational principles to develop technologies that can provide a computing substrate for building compact and low-power processing systems. In this talk shows why the robots with neuromorphic technologies - from perception to motor control - represents a promising approach for the creation of robots which can be more intelligent and autonomous. This keynote addresses computational aspects of implementing robotic and computer vision algorithms that are based on neurocomputing paradigms for robot vision and harsh environments. Different algorithms have been translated to this new approach where the multi-sensing data with probabilistic distributions, are used to navigate in marine and harsh environments. In the talk we address our current attempt to implement efficient "haze removal" CNN to remove the distortion from underwater images and increase the quality and performance of the machine learning programs which improves navigation of marine robots.

Biography

Jorge Dias has a Habilitation and Ph.D. degree on EE and Coordinates the Artificial Perception Group from the Institute of Systems and Robotics from the University of Coimbra, Portugal. He is Full Professor at Khalifa University, Abu Dhabi, UAE and Deputy Director from the Center of Autonomous Robotic Systems from Khalifa University. His expertise is in the area of Artificial Perception (Computer Vision and Robotic Vision) and has contributions on the field since 1984. He has been principal investigator and consortia coordinator from several research international projects, and coordinates the research group on Computer Vision and Artificial Perception from KUCARS. Jorge Dias published several articles in the area of Computer Vision and Robotics that include more than 300 publications in international journals and conference proceedings and recently published book on Probabilistic Robot Perception that addresses the use of statistical modeling and Artificial Intelligence for Perception, Planning and Decision in Robots. He was the Project Coordinator of two European Consortium for the Projects "Social Robot" and "GrowMeUP" that were developed to support the inclusivity and wellbeing for of the Elderly generation.