The University of Waterloo (Waterloo, Ontario, Canada) was the winner in the microassembly event, densely packing together a formation of triangular-shaped lattice components that was 45 micrometers in length. The Waterloo robot was the only one able to complete the task.
Other teams competing in the MMC were the University of Maryland-College Park; the Stevens Institute of Technology (Hoboken, N.J.); the University of Texas at Arlington; and the Italian Team, composed of members from the Italian Institute of Technology (Pontedera, Italy) and the CRIM Lab of Scuola Superiore Sant'Anna (Pisa, Italy).
The third competition, the first-ever Solutions in Perception Challenge (SPC), was co-hosted by Willow Garage, a developer of hardware and open-source software for personal robotics applications. Teams in this contest were evaluated on how well their sensing software identified and determined the positions of 35 common household items and 15 manufacturing components. Robust perception is a core skill for next-generation robots to operate successfully in both cluttered and uncluttered environments, such as factory floors, nursing homes and even disaster sites.
First place with a score of 68.78 percent went to the team from the University of California, Berkeley, with second and third taken by Jacob University (Bremen, Germany) at 66.41 percent and Stanford University (Palo Alto, Calif.) at 53.61 percent, respectively.
Four other teams made up the contestant pool for the SPC: University of Freiburg (Freiburg, Ger
|Contact: Michael E. Newman|
National Institute of Standards and Technology (NIST)