Rockwell Automation collaborates with NVIDIA for safer AI robots


3d rendering of biorobots concept3d rendering of biorobots concept Picture by Freepik

Rockwell Automation has introduced additional collaborations with NVIDIA to supercharge the event of safer and smarter industrial AI cellular robots.

Earlier this 12 months, Rockwell introduced its ongoing work with NVIDIA to extend the dimensions and scope of AI in manufacturing. The collaboration is now increasing to contain robotics, serving to drive using AI in autonomous cellular robots (AMRs) to enhance efficiency and effectivity. Rockwell brings AMRs and manufacturing automation purposes to industrial clients who’re on the lookout for elevated efficiencies of their factories. This may assist unlock unrealised potential on this house by way of the combination of the NVIDIA Isaac robotics platform.

“We’re invigorated by this continued collaboration with NVIDIA,” mentioned Ryan Gariepy, the CTO and OTTO Motors by Rockwell Automation. “Rockwell’s industrial AI experience, mixed with NVIDIA AI and robotics applied sciences, goes to assist drive an thrilling new era of autonomous cellular robots.”

Rockwell additionally continues its work to combine NVIDIA Omniverse Cloud software programming interfaces (APIs) with its Emulate3D software program, bringing customers knowledge interoperability, reside collaboration and photo-realistic graphics rendering for designing, constructing and working industrial-scale digital twins of manufacturing techniques.

In accordance with the not too long ago launched “State of Good Manufacturing Report,” AI ranks as the highest function producers consider will drive the most important enterprise outcomes. Actually, 83% of producers anticipate to make use of generative AI of their operations in 2024. As a part of this collaboration, the Rockwell Automation PartnerNetwork now consists of NVIDIA, giving Rockwell clients extra purposes to assist make their operations extra resilient, agile and sustainable.

Touch upon this text by way of X: @IoTNow_



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