The article discusses the use of Augmented Reality (AR) in the field of industrial robotics specifically for inspecting and repairing corrosion in outdoor industrial facilities. Mobile manipulators have been developed to navigate these facilities, identify corroded areas, and apply protective coatings. However, human oversight is necessary to review the robot’s corrosion identification and repair plan. The authors present a comprehensive AR application module called Situational Task Accept and Repair (STAR). STAR allows users to examine identified corrosion images, point cloud data, and robot navigation objectives overlaid on the physical environment. Users can also make adjustments to the robot repair plan in real-time. Future research will focus on evaluating user experience, system robustness, and real-world validation.
Publication date: 3 Nov 2023
Project Page: Not provided
Paper: https://arxiv.org/pdf/2311.00988
