Development of an adaptive in-pipe inspection robot with rust detection and localization

• Main Authors: Diaz, Julianne Alyson I., Ligeralde, Manuel I., Antonio, Micah Antoinette B., Mascardo, Philix Anton R., Maningo, Jose Martin Z., Fernando, Arvin H., Vicerra, Ryan Rhay P., Dadios, Elmer P., Bandala, Argel A.
• Format: text
• Published: Animo Repository 2019
• Subjects: Pipelines—Corrosion; Pipelines—Maintenance and repair; Mobile robots; Electrical and Computer Engineering; Electrical and Electronics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1389; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2388/type/native/viewcontent
• Institution: De La Salle University

In response to addressing the issue of pipe quality checking, the researchers developed an adaptive in-pipe inspection robot that is able to detect rust as well as map the rust on the pipe network. The robot is traversed in a pipe network of horizontal, vertical, elbow, and tee type with diameters o...