How Path Robotics uses AI to optimize robotic welding

Path Robotics CEO Andy Lonsberry discussed on The Robot Report Podcast how the company uses AI and real-time vision guidance to optimize robotic welding, including deploying Boston Dynamics' Spot robots for shipbuilding. The episode also featured UC San Diego professor Michael Yip, whose lab applies deep learning and reinforcement learning to surgical robotics.

In Episode 252 of The Robot Report Podcast, we connect with Andy Lonsberry, co-founder and CEO of Path Robotics. He discusses the difficulties in setting up and using robots for welding applications. Path Robotics has applied AI https://www.therobotreport.com/category/design-development/ai-cognition/ to identify the path of a torch and then move the robot through the welding https://www.therobotreport.com/tag/welding/ operation, using real-time vision https://www.therobotreport.com/category/technologies/cameras-imaging-vision/ guidance to maintain an optimal path. As CEO of Path Robotics, Lonsberry https://www.linkedin.com/in/andrew-lonsberry-32154448/ leads the company’s strategy and operations with a focus on applying physical AI to longstanding challenges in manufacturing https://www.therobotreport.com/category/markets-industries/manufacturing/ . His work centers on building adaptive, AI-driven robotic systems designed for real-world production environments. The Columbus, Ohio-based company https://www.therobotreport.com/tag/path-robotics/ is also deploying Boston Dynamics’ Spot quadruped robots into mobile welding applications in shipbuilding https://www.therobotreport.com/hii-partners-path-robotics-graymatter-robotics-accelerate-shipbuilding/ . Our other interviewee this week is Michael Yip https://yip.eng.ucsd.edu/ , an assistant professor of electrical and computer engineering at the University of California San Diego https://www.therobotreport.com/tag/university-of-california-san-diego/ , an IEEE RAS distinguished lecturer, a Hellman Fellow, and the director of the Advanced Robotics and Controls Laboratory ARCLab https://ucsdarclab.com/ . His group currently focuses on solving problems in data-efficient and computationally efficient robot control and motion https://www.therobotreport.com/category/robot-components/motioncontrol/ planning through the use of various forms of learning representations, including deep learning and reinforcement learning strategies. Yip’s lab applies these ideas to surgical https://www.therobotreport.com/tag/surgical/ robotics and the automation of surgical procedures. Show timeline - 7:15 – News of the week - 10:15 – Michael Yip, assistant professor of electrical and computer engineering at UC San Diego - 35:27 – Andy Lonsberry , co-founder and CEO of Path Robotics News of the week Beyond da Vinci: Why versatile humanoid robots are the next frontier in surgery https://www.therobotreport.com/beyond-da-vinci-why-versatile-humanoid-robots-are-next-frontier-surgery/ Ahead of stock market debut, Agility co-founder discusses physical AI and Digit V5 https://www.automate.org/robotics/industry-insights/ahead-of-stock-market-debut-agility-cofounder-discusses-physical-ai-and-digit-v5 NHTSA getting fed up with autonomous vehicles interfering with first responders https://www.roadandtrack.com/news/a71883246/federal-regulators-autonomous-vehicles-first-responder-interference/ Tickets, geofences, and 1M miles: The new reality of California AV compliance https://www.therobotreport.com/tickets-geofences-1m-miles-new-reality-california-av-compliance/ Sponsors Thanks to our sponsors who make this content possible. Every growing Postgres database eventually hits a wall. Queries slow down, dashboards lag, and teams consider adding a second database. Tiger Data, creators of TimescaleDB, extend Postgres with time-series primitives, columnar storage, and automatic partitioning so your queries stay fast on live data. No pipelines, no migration, no second system. Just Postgres, built for the workload you actually have. Learn more at: tigerdata.com/go/trial To learn how you can sponsor a future episode of The Robot Report Podcast, contact: Jami Brownlee at email protected /cdn-cgi/l/email-protection bdd7dfcfd2cad3d1d8d8fdcac9cad5d0d8d9d4dc93ded2d0 Would you like to be a guest on a future episode? Contact Mike Oitzman at email protected /cdn-cgi/l/email-protection eb8684829f91868a85ab9c9f9c83868e8f828ac5888486