Biologically Inspired Visual Systems for Autonomous Robots
by A. Titus
SPIE Newsroom, accessed 1 Mar 2007
Perceiving the world around us is something most of us take for granted. However, capturing huge quantities of data and understanding it as we walk, run, drive, or pedal a bike is a task of incredible complexity. To perceive the world, we use our ‘built-in’ nervous system and sensory organs. Similarly, to perceive the world around them, autonomous systems (robots, planetary explorers, etc.) require sensory systems that are not overly burdensome in terms of weight, power consumption, and size. Since vision is such an important sense for perception, an autonomous system must also have an efficient functioning visual system that is appropriate for its intended use. The main goal of our research is to develop novel methods for improving visual processing for autonomous systems.