Contestants at this year’s Amazon Robotics Challenge were awarded 270,000 dollars in prizes to support continued innovation within the robotics and automation community. The robots had to successfully pick and stow unique items.
Amazon today announced the results of its 2017 Amazon Robotics Challenge with winners hailing from Australia, the U.S., and Singapore. Australian Centre for Robotic Vision from Australia succeed in the Grand Championship Combined Task to win the overall Challenge with Nanyang Technological University of Singapore winning the Pick Task and MIT Princeton of the U.S., winning the Stow Task. 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 to successfully pick and stow unique items. 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 dollars in prizes were awarded to contestants throughout the four-day competition.
The teams in this year's Robotic Challenge demonstrated sophisticated solutions
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 in Japan, the leading and most diverse competition for intelligent robots and one of the world’s most important technology events in research and training.
“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. “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.”
The Australian Centre for Robotic Vision team consisted of researchers, early PhD candidates and undergraduate students who combined computer vision, machine learning and a variety of robotic hardware to successfully complete both pick and stow tasks the fastest.