Path Robotics, a global leader in physical AI for manufacturing, has announced the launch of Rove™, a mobile robotic welding system that combines its Obsidian™ physical AI model with a quadruped robot. This innovation marks a major step forward in welding automation by enabling intelligent, adaptive welding directly at the worksite.
Building on the success of Obsidian within fixed robotic welding cells, Rove extends these capabilities beyond traditional environments. It addresses longstanding challenges in industries such as shipbuilding, heavy construction, and large-scale fabrication, where massive assemblies and immovable components have historically limited automation.
Andy Lonsberry, CEO and co-founder of Path Robotics, stated that while Obsidian has already demonstrated its ability to solve complex welding challenges in controlled environments, Rove allows manufacturers to deploy this intelligence wherever welding is required—particularly in scenarios where moving parts into a welding cell is not feasible.
Rove redefines expectations for mobile robotics by overcoming the instability traditionally associated with legged robots in precision tasks. Powered by Obsidian’s advanced perception and adaptability, the system is designed to operate effectively in high-variability environments, including shipyards.
Saronic Technologies is among the early adopters evaluating Rove, integrating the system into its shipbuilding operations in Franklin, Louisiana. John Morgan, Head of Manufacturing at Saronic, highlighted the importance of intelligent and adaptable tools in modernizing shipyard production and expressed enthusiasm about the partnership. Rove will be showcased at Sea-Air-Space 2026, taking place from April 19–22 in National Harbor, Maryland, where attendees can experience the system in action.
Founded in 2018, Path Robotics has raised over $300 million to advance physical AI applications in manufacturing. By combining artificial intelligence, machine learning, and computer vision, the company is transforming traditionally complex and labor-intensive processes into scalable, high-quality production systems, helping manufacturers address skilled labor shortages while improving efficiency and output.
