meeting
information
information
MIT Kickoff Meeting
Thursday Sept. 6th 7:30 PM
Location 1-150
CS subgroup
CS Meeting 3pm 9/8/07 MIT 4-144
e-mail kevin and/or alexei
EE subgroup
EE Meeting 1pm 9/8/07 MIT 4-409
e-mail ben if you want to join
ME subgroup
ME Meeting 5pm 9/8/07 MIT 3-462
e-mail kristina to get on the edgerton center machine shop list
Useful websites
- HTML Help
- C++ Tutorial
- C++ Programming - very comprehensive
- Electronics Tutorial
- Electronics e-book
- Electronics e-book - great resource (Jeff recommended)
- Intro to Microcontrollers
Websites of other teams
- Cornell RoboCup - includes documentation for electrical and mechanical design, vision, AI and operation (various things for various years up to 2004)
- CMU's RoboCup Site - links to downloads, publications, and more. Downloads include CMVision (fast color vision library), CMDragons'02 software (2002 RoboCup code base), CMDragons'03 firmware, and UberSim project.
- FU-Fighters (German team, top 3 in world) - links to a lot of stuff, including publications, available projects, pictures, lectures, and literature. This seems like a very good resource.
- Lucky Star (Singapore team) - seems to be just a history and some qualification videos.
- RoboSoccer website of Prof. Stone (he seems to have led many teams) - lots of links to other teams, results from previous competitions, and CODE (!!!)
- University of Buffalo's RoboCup Team (2005 US Open champions) - summaries of what they do (could be helpful--they, too, started from scratch like us)
- Vienna Cubes (Austria)
- Eagle Knights (ITAM in Mexico)
Reading material
- AI technical report abstracts and papers - includes link to UT Austin's 4-legged team's paper
- UT Austin Four-Legged Team's paper - describes in detail vision, movement, learning, kicking, localization, communication, behaviors, and coordination of the 4-legged Aibo team. Even though their competition is not exactly the same, paper could provide useful insight for our own team.
- Buffalo's team's technical description paper - segmentation and blob recognition, has good description of vision and AI from which we could learn a lot
- Fast and Inexpensive Color Image Segmentation for Interactive Robots (James Bruce)
- Fast and Accurate Vision-Based Pattern Detection and Identification (James Bruce)
- CMVision (James Bruce)