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‘Human-in-the-Loop’ Approach to Machine Vision Robotics

BMW i Ventures recently announced an investment in Plus One Robotics, a leading provider of vision software for logistics robots.

The Company, co-founded by industry veterans including CEO Erik Nieves, deploys technology enabling any robot hardware to intelligently and autonomously complete monotonous logistics tasks, such as package sortation and depalletization. Plus One also incorporates a ‘human-in-the-loop’ approach that leverages human intelligence to handle exceptions for the variety of items passing from dock to door. Yonder, Plus One’s robot supervision software enables one human, or Crew Chief, to manage up to 50 robots remotely, allowing companies to adopt a ‘follow-the-sun’ model and meet the demands of the 24/7 consumer.

“We believe that Plus One Robotics’ technology will usher in a new era of smart, adaptive robots to bring automation to new heights across not just big markets like automotive but across any supply chain use case where items must be moved from one place to the next,” said Kasper Sage, Partner at BMW i Ventures. “The beauty of Plus One’s technology is that it combines state-of-the-art computer-vision algorithms with a human-in-the-loop approach, enabling robots to operate at accuracy and throughput levels currently unmatched across industry. Thanks to Plus One, the new era of robotics-driven automation is at last here.”

“We’re fortunate to work with customers at the cutting edge of warehouse automation who share our values of ‘Robots Work, People Rule.’ We are excited to grow alongside our clients here and abroad. Like our clients, our investors have a global footprint representing Asia and the EU as well as North America. This potent combination sets Plus One on a course to continue growing our international installed base,” commented CEO and co-founder Erik Nieves.

With this latest fundraise, Plus One Robotics will capitalize on its current momentum to expand within its existing customer base and  capture more market share through deployments in new customers. The funding will also support continued product development of its machine-vision software to address new use-cases and applications within the logistics value-chain.

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