- Author:
- Peter Stone
Robotics technology has recently advanced to the point of being widely accessible for relatively low-budget research, as well as for graduate, undergraduate, and even secondary and primary school education. This lecture provides an example of how to productively use a cutting-edge advanced robotics platform for education and research by providing a detailed case study with the Sony AIBO robot, a vision-based legged robot. The case study used for this lecture is the UT Austin Villa RoboCup Four-Legged Team. This lecture describes both the development process and the technical details of its end result. The main contributions of this lecture are (i) a roadmap for new classes and research groups interested in intelligent autonomous robotics who are starting from scratch with a new robot, and (ii) documentation of the algorithms behind our own approach on the AIBOs with the goal of making them accessible for use on other vision-based and/or legged robot platforms.
Cited By
- Archibald C, Altman A and Shoham Y Success, strategy and skill Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1, (1089-1096)
- Bourgne G, Fallah-Seghrouchni A and Soldano H Learning in a Fixed or Evolving Network of Agents Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02, (549-556)
- Archibald C, Altman A and Shoham Y Analysis of a winning computational billiards player Proceedings of the 21st International Joint Conference on Artificial Intelligence, (1377-1382)