Webcast: Robotic Piece Picking With Machine Vision

Advances in motion control, machine vision, and grippers have enabled robots to more accurately pick variable items.

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Machine vision and AI are enabling faster, more accurate robotic picking.

Dexterous manipulation has been particularly challenging for robotics developers and suppliers. Advances in machine vision, machine learning, motion control, and end-of-arm tooling are allowing robots to more accurately pick mixed items in varied orientations.

This has implications for e-commerce order fulfillment, parts inspection, recycling, and other supply chain and manufacturing applications. In this webcast, the expert panelists will discuss how automated piece picking can now meet industry needs.

Date: Wednesday, Dec. 14, 2022

Time: 2:00 p.m. EST

From human guidance to AI and sensor fusion, this Robotics 24/7 Roundtable will look at the current state of the art and where the technology is heading. Attendees can learn about the following topics:

  • Piece picking challenges for machine vision
  • Digital twins and training for new objects
  • Improving hand-eye coordination for automation
  • When should humans be in the loop?
  • New applications for nimbler robots

Registrants can submit questions now or during the live broadcast, which will be available on demand after the broadcast date.

About the speakers

Eugene Demaitre, Robotics 24/7

Moderator: Eugene Demaitre
Editorial Director
Robotics 24/7, Peerless Media LLC

Demaitre is editorial director of Robotics 24/7. Prior to joining Peerless Media, he was a senior editor at other robotics publications. Demaitre has decades of experience in business-to-business, online technology coverage and has participated in numerous robotics-related webinars, podcasts, and conferences worldwide.

Contact Tom Cooney at tcooney@peerlessmedia.com for sponsorship opportunities.



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Getty Images

Machine vision and AI are enabling faster, more accurate robotic picking.


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