SV-ROS's team Maxed-Out earns the highest score at IROS 2014 in the first Microsoft Kinect Challenge.
The Microsoft Kinect Challenge is a showcase of BRIN (Benchmark Indoor Robot Navigation), a scoring software that was used to score the competition. Each team had to create a mapping and autonomous navigation software solution that would successfully run on a provided Adept Pioneer 3DX robot.
The number of way points achieved, time and accuracy are combined in determining a contestant's score. Microsoft Research's Gershon Parent, the author of the BRIN scoring software hopes to see BRIN as a universally accepted way of benchmarking autonomous robots' indoor navigation ability.
SV-ROS is a Silicon Valley ROS users group that meets on the second to last Wednesday each month at the HackerDojo in Mountain View, CA. Team Maxed-Out is led by Greg Maxwell; key team members are Girts Linde, Ralph Gnauck, Steve Okay, and Patrick Goebel. The Maxed-Out effort began in May 2014 and was able to successfully create a winning ROS mapping localization and navigation solution in a few months, beating 5 other international teams.
Maxed-Out's winning software solution was based on the ROS Hydro distribution on a powerful GPU enabled laptop running Ubuntu 12.04 and Nvidia Cuda 6.0 8 GPU parallel processing software. The team was able to out score all the other teams by incorporating the Rtabmap mapping, localization, navigation and new Point Cloud solution library that is the effort of Mathieu Labbe, a graduate student at the Université de Sherbrooke.
Team Maxed-Out's code is up at SV-ROS's Github repository and documented on this meetup page.
Pictures of the event are posted here.
The Microsoft Kinect Challenge is a showcase of BRIN (Benchmark Indoor Robot Navigation), a scoring software that was used to score the competition. Each team had to create a mapping and autonomous navigation software solution that would successfully run on a provided Adept Pioneer 3DX robot.
The number of way points achieved, time and accuracy are combined in determining a contestant's score. Microsoft Research's Gershon Parent, the author of the BRIN scoring software hopes to see BRIN as a universally accepted way of benchmarking autonomous robots' indoor navigation ability.
SV-ROS is a Silicon Valley ROS users group that meets on the second to last Wednesday each month at the HackerDojo in Mountain View, CA. Team Maxed-Out is led by Greg Maxwell; key team members are Girts Linde, Ralph Gnauck, Steve Okay, and Patrick Goebel. The Maxed-Out effort began in May 2014 and was able to successfully create a winning ROS mapping localization and navigation solution in a few months, beating 5 other international teams.
Maxed-Out's winning software solution was based on the ROS Hydro distribution on a powerful GPU enabled laptop running Ubuntu 12.04 and Nvidia Cuda 6.0 8 GPU parallel processing software. The team was able to out score all the other teams by incorporating the Rtabmap mapping, localization, navigation and new Point Cloud solution library that is the effort of Mathieu Labbe, a graduate student at the Université de Sherbrooke.
Team Maxed-Out's code is up at SV-ROS's Github repository and documented on this meetup page.
Pictures of the event are posted here.
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