AI robots with super vision power ‘groundbreaking’ warehouse

  • Siemens, Universal Robots, and Zivid are working together to create a warehouse automation solution.
  • The partners will integrate SIMATIC Robot Pick AI, Siemens’ learning-based vision software, with Universal Robots’ UR20 robot, which is designed for heavy lifting and carrying tasks.

Siemens is partnering with Universal Robots and Zivid on a precise picking and packing warehouse automation solution. The solution will address the challenges of intra-logistics fulfillment tasks, a move the companies describe as “groundbreaking”.

Robot UR20

The warehouse automation solution will automate the picking and packing of items at a high enough level to distinguish between different opacities, shapes, and sizes.

To achieve this goal, the partners integrate SIMATIC Robot Pick AI, Siemens’ learning-based vision software, with Universal Robots’ UR20 robot, which is designed for heavy lifting and carrying tasks.

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Significance of this corporation

Ignacio Moreno, Siemens’ business development manager said, “We are excited to collaborate with Universal Robots and Zivid to introduce a game-changing solution for intra-logistics fulfillment.”

Zivid’s 3D sensor will increase its imaging capabilities to include transparent and translucent objects.

“By harnessing the power of advanced vision technology and industry-leading collaborative robotics, the SIMATIC Robot Pick AI can bring effortless picking to any environment,” he said.

According to Daniel Friedman, UR’s global director, “The collaboration with Siemens and Zivid signals our continued push into connecting our robot platform to AI technologies and is further testament to our dedication to delivering automation for anyone, anywhere.”

The solution will be presented in-depth for the first time in a webinar hosted by the trio on April 4.

Jennifer-Yu

Jennifer Yu

Jennifer Yu is an intern reporter at BTW Media covering artificial intelligence and internet governance. She graduated from The University of Hong Kong with a Master’s degree in Journalism. Send tips to j.yu@btw.media.

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