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Australian centre is robotic grand champion

Entrants combined computer vision, machine learning and robotic hardware to complete pick and stow tasks the fastest

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The challenge aims to strengthen ties between the industrial and academic robotics communities
The challenge aims to strengthen ties between the industrial and academic robotics communities

The Australian Centre for Robotic Vision has been named the overall winner in the Amazon Robotics Challenge. The team, made up of researchers, early PhD candidates and undergraduate students, combined computer vision, machine learning and a variety of robotic hardware to successfully complete both pick and stow tasks the fastest.

 

Nanyang Technological University of Singapore won the individual pick task and MIT Princeton of the US won the individual stow task. Teams were judged based on how many items were successfully picked and stowed by their robots in a fixed amount of time. A total of $270,000 in prizes were awarded to contestants throughout the four-day competition.

 

This year’s finalists demonstrated sophisticated solutions combining object recognition, pose recognition, grasp planning, compliant manipulation, motion planning, task planning, task execution, and error detection and recovery.

 

The Amazon Robotics Challenge aims to strengthen the ties between the industrial and academic robotic communities and promote shared and open solutions to the technical challenges faced in unstructured automation.

 

This year’s Amazon Robotics Challenge was held during RoboCup, the leading and most diverse competition for intelligent robots and one of the world’s most important technology events in research and training. RoboCup and the Amazon Robotics Challenge were held in Japan at the Nagoya International Exhibition Hall (Portmesse Nagoya).

 

“This year, we made some changes to the Challenge to make it even more difficult and to encourage broader participation from multiple robotics fields – and the response was exciting,” said Joey Durham, contest chairperson and manager of research and advanced development for Amazon Robotics.

 

He added: “The versatility of recognition capabilities in an unstructured environment and the dexterity of grasping mechanisms was truly impressive.

 

“What we’re most proud of with the Amazon Robotics Challenge is its celebration of robotic community and the venue it’s created to share and promote research in a fun and rewarding way.”

 

 

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