Open Mobile Map

Using a biomimetic vision system for mobile robot navigation. Vision system developed in The University of Adelaide’s Physiology Dept. This is Phase 2 of the Autonomous Control System for a Mobile Robot final year project for BEng (Electrical & Electronics) under the supervision of Dr Russell Brinkworth and Mr Charlie Green. Test 4 - Using ‘natural world’ images instead of black & white stripes and old newspapers. The vision system was tuned to work best with these types of images. The ‘tunnel’ was a bit too short for the robot. We’ll make longer ones soon. This is a work in progress, lots more to do. Control system is definitely not optimally tuned yet. Filmed on 28th April 2009.

A Reactive Autonomous Robot Navigation System based only on Omnidirectional Vision (without sonars). Tested with a Flea2 camera, Remote Reality mirror and an ActivMedia PowerBot robot. This video is property of the University of Alicante, Robot Vision Group ( www.rvg.ua.es )

Computer Science undergraduates at Cambridge University undertake a group project as part of their second-year practical work. The projects take 6 weeks to complete and are designed to give students experience of working with a team of colleagues using externally prescribed tools. This gives some idea of the problems encountered in normal professional practice. In the final week of term, teams present their work to students, members of the Department and guests. Departmental staff vote for …