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Realtime Robotics’ Optimization Solution Wins 2024 Award for Innovation and Entrepreneurship in Robotics & Automation (IERA)

Realtime Robotics

Realtime Robotics, the leader in collision-free autonomous motion planning for industrial robots, announced that it has been named the 2024 winner of the prestigious Innovation and Entrepreneurship in Robotics & Automation (IERA) award for its innovative Optimization solution.

Established in 2005, the IERA Award is presented annually by the IEEE Robotics and Automation Society Industrial Activities Board and the International Federation of Robotics (IFR). The award highlights and honors the achievements of inventors with value creating ideas and entrepreneurs who propel those ideas into world-class products.

Realtime Robotics’ Optimization solution was recognized as one of four finalists for the award, and then was judged to be the 2024 winner following a presentation of the solution’s creation and commercialization by company Co-Founder Will Floyd-Jones and Vice President of Business Development Japan, Koji Kobayashi, at the recent IEEE/IFR Joint Forum on Innovation and Entrepreneurship in Robotics and Automation in Yokohama, Japan.

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“It is a tremendous honor to be recognized by the leading organizations in the robotics industry,” said Will Floyd-Jones, Co-Founder of Realtime Robotics. “The award is validation at the highest level for our Optimization solution and the tireless efforts of our team to bring this vision to the market.”

Realtime Robotics’ Optimization solution has been proved to significantly help engineers and manufacturers reduce costs and increase productivity by identifying and eliminating production bottlenecks. With only a simulation file or digital twin of a customer’s workcell, the solution rapidly generates and evaluates hundreds of thousands of possible solutions to identify the one with the shortest cycle time. Customers including Volkswagen Commercial Vehicles and Valiant TMS have dramatically cut down robot programming time and realized improved cycle times as a result of working with Realtime Robotics.

Source: Businesswire

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