Robotics Business Review has named Ambi Robotics a 2021 RBR50 Innovation Award winner in the Technology and Services category for its highly-dexterous robotic systems powered by AmbiOS, the company’s advanced simulation-to-reality (Sim2Real) artificial intelligence (AI).
For over a decade, Robotics Business Review has annually highlighted the most creative and influential companies from around the world by awarding 50 forward-thinking organizations an RBR50 Innovation award winner. The award categories honor technology, business management, and market innovations. The RBR50 awards are also a critical measure of robotics sector growth.
Pick-and-place robots for logistics applications are not novel, but Ambi’s operating system is. The robots are powered by AmbiOS, the company’s advanced operating system that leverages proprietary simulation-to-reality technology to rapidly teach robots unique pick and pack tasks. AmbiOS leverages The Dexterity Network (Dex-Net) project that automates the training of deep neural networks to improve a robot’s ability to grasp items. Dex-Net was created by Goldberg and his team at the University of California, Berkeley. AmbiOS trains robots in simulation and transfers its deep neural network advancements to real-world systems. Goldberg claims Dex-Net trains robots in hours, not months, 10,000 times faster than collecting data in the real world. Faster training in simulation opens up new opportunities for robotic manipulation, creating more capable robots from day one that can help companies handle surging e-commerce demand.
-Steve Crowe, Editorial Director, Robotics, WTWH Media