There are many parts that have traditionally only been weldable by skilled personnel due to part-to-part variation, fit-up inconsistencies, small batch size, or a combination of the three. Improving upstream processes, adding substantial tooling, and using technology that only addresses a portion of the problems are approaches typically used to prepare parts for automated welding. An adaptive welding solution enables the use of robotic welding on parts where it’s not feasible to use these methods.
This presentation will discuss adaptive robotic welding enabled with optical vision, real-time image analysis, and multi-variable controls for adaptation that can be used to address part-to-part and fit-up variation without the requirement of extensive tooling or adjusting upstream process. The solution discussed is deployed on an easy-to-use power and force limiting (PFL) robot (cobot) with a fundamental set of generic capabilities that aren’t developed for a specific application.
This presentation will discuss adaptive robotic welding enabled with optical vision, real-time image analysis, and multi-variable controls for adaptation that can be used to address part-to-part and fit-up variation without the requirement of extensive tooling or adjusting upstream process. The solution discussed is deployed on an easy-to-use power and force limiting (PFL) robot (cobot) with a fundamental set of generic capabilities that aren’t developed for a specific application.
