Bioinspired Robotic Vision Systems

Catalog description

Animal vision combined with human vision and cognition can provide a source of inspiration for the design and development of novel computational, efficient, and robust electro-optical vision systems. The underlying philosophy of this course is to introduce new evolutionary cognitive vision systems that use artificial neurons to mimic the functions and characteristics of the human brain and drive improvements in costs, efficiency, and processing. Students taking this course will develop an integrative knowledge of bioinspired vision systems and artificial intelligence algorithms as well as the impact of biomimetic vision on a large gamma of imaging and robotic vision systems, and modalities. As a result, the students will be inspired towards the conception, and design of novel bio-inspired vision robotic applications, systems, and techniques for different segments of industry, autonomous systems, healthcare, defense, and consumer electronics. Prerequisites: EECE 304 and EECE 306 . Cross-listed with ECEG 757 .