RoboCup-97: Robot Soccer World Cup I
RoboCup97: An Omnidirectional Perspective
RoboCup-97: Robot Soccer World Cup I
Vision-Based Robot Learning Towards RoboCup: Osaka University "Trackies"
RoboCup-97: Robot Soccer World Cup I
Omnidirectional adaptive behavior control for autonomous mobile robot
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
| Hi-index | 0.00 |
The greatest risk of innovative design is that it may not prove successful. That does not mean, by any account, that it should not be tried. Nor does it make the idea irrelevant. What is important is that those that follow are made aware of the problems encountered. The Omnidirectional Radial Signature Analysis Network (ORSAN) was an attempt to overcome the problems associated with the Robocup environment that were evident at RoboCup 97. In particular, lighting inconsistencies and a steering problem with the Omnidirectional Ball Based Driving Mechanism developed by this team and presented at Robocup 97. Through a series of difficulties and setbacks following the successful Nagoya event, only 16 weeks were available to produce an entire team of robots for Paris. In the end, only the prototype was ready, and so the Deakin Black Knights attempt at Robocup-98 was really over before it began. This paper details the development of the Omnidirectional Radial Signature Analysis Network, the problems it was designed to solve and the eventual conclusions that were drawn about this innovative approach to Robocup 98.