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From Birds To Bees To 'Bots: what can robots learn from nature? | Mandyam Srinivasan | TEDxUQ
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Added Sep 2, 2016
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A glance at a fly evading a swatter, or a bird moving rapidly through dense foliage would convince anybody that these flying creatures possess vision systems par excellence, despite carrying brains that are minuscule compared to our own. Our laboratory seeks to discover how these creatures use their vision to avoid collisions with obstacles, fly safely through narrow passages, orchestrate smooth landings, and gauge distance flown. We are also using these discoveries to design novel, biologically inspired systems for the guidance of autonomous aircraft and drones that will navigate autonomously, without relying on external infrastructure such as GPS or radar.

Srinivasan's research focuses on the principles of visual processing, perception and cognition in simple natural systems, and on the application of these principles to machine vision and robotics.
He holds an undergraduate degree in Electrical Engineering from Bangalore University, a Master's degree in Electronics from the Indian Institute of Science, a Ph.D. in Engineering and Applied Science from Yale University, a D.Sc. in Neuroethology from the Australian National University, and an Honorary Doctorate from the University of Zurich. Srinivasan is presently Professor of Visual Neuroscience at the Queensland Brain Institute and the School of Information Technology and Electrical Engineering of the University of Queensland.

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