 |
   |
|
|
Terex MP Acquires ZenRobotics
Terex Materials Processing (MP) has acquired the assets of ZenRobotics Ltd., a company that designs and creates robots that pick, sort, and recycle waste material. ZenRobotics is a global leader in smart robotic recycling. Its robots, powered by proprietary AI software, make recycling more efficient, accurate and profitable. The company’s ambition is to make the circular economy a reality by turning global waste into clean raw materials. ZenRobotics, based in Helsinki, Finland, will retain its name and become a Terex brand, with the unit reporting to Tony Devlin, who leads the Terex MP environmental businesses. Terex is already active within global waste markets through Terex Ecotec, Terex CBI, Terex Fuchs, and Terex Recycling. ZenRobotics will add to the Terex portfolio in global waste, where it will continue to be operated as a stand-alone business while also benefiting from MP’s broader market presence and from efficiencies enabled by MP’s global scale. This acquisition of a highly “green-focused” company further supports MP’s commitment to its environmental business and Environment, Social and Governance (ESG) goals. Over 15 years of industry-defining product development have enabled ZenRobotics to create industry-pioneering technology. The Heavy Picker is a multipurpose waste sorting robot for bulky material. Equipped with sturdy arms, various sensors, and artificial intelligence, it provides a simple, unstaffed sorting process and makes waste sorting more accurate, safe, and profitable. The Fast Picker is a high-speed waste sorting robot for maximizing material recovery. It is compactly designed for easy integration to existing processes and conveyors in material recovery facilities (MRFs), and it increases profits by enabling fully-automated sorting and higher output purity. And finally, the company launched the ZenBrain, which is artificial intelligence for sorting robots with advanced recognition ability and autonomous decision-making. This technology provides actionable data and a steep learning curve in optimizing waste sorting efficiency.
|
© InfraStructures - Tous droits réservés - All rights reserved |
Partagez sur Facebook / Share on Facebook 
