How Path Robotics uses AI to optimize robotic welding

How Path Robotics uses AI to optimize robotic welding

In Episode 252  of The Robotic Report Podcast, we join with Andy Lonsberry, co-founder and CEO of Path Robotics. He discusses the difficulties in establishing and utilizing robots for welding functions.

Path Robotics has utilized AI to establish the trail of a torch after which transfer the robotic via the welding operation, utilizing real-time imaginative and prescient steerage to keep up an optimum path.

Andy Lonsberry, CEO of Path Robotics.

As CEO of Path Robotics, Lonsberry leads the corporate’s technique and operations with a concentrate on making use of bodily AI to longstanding challenges in manufacturing.

His work facilities on constructing adaptive, AI-driven robotic techniques designed for real-world manufacturing environments.

The Columbus, Ohio-based firm can also be deploying Boston Dynamics’ Spot quadruped robots into cell welding functions in shipbuilding.


headshot of professor michael yip.

Michael Yip, professor at UC San Diego.

Our different interviewee this week is Michael Yip, an assistant professor {of electrical} and laptop engineering on the College of California San Diego, an IEEE RAS distinguished lecturer, a Hellman Fellow, and the director of the Superior Robotics and Controls Laboratory (ARCLab).

His group at the moment focuses on fixing issues in data-efficient and computationally environment friendly robotic management and movement planning via using numerous types of studying representations, together with deep studying and reinforcement studying methods. Yip’s lab applies these concepts to surgical robotics and the automation of surgical procedures.


Present timeline

  • 7:15 –Information of the week
  • 10:15 – Michael Yip, assistant professor {of electrical} and laptop engineering at UC San Diego
  • 35:27 – Andy Lonsberry, co-founder and CEO of Path Robotics

Information of the week


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