TY - GEN
T1 - Development of a Robotic Arm Platform With Interchangeable Sensors for Remote Inspection of Industrial Plants
AU - Yi, Eduardo Cabrera
AU - Jara, Jose
AU - Rivadeneira, Franco
AU - Zinanyuca, Miguel
AU - Cuellar, Francisco
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The industrial plant of the Oil&Gas and energy sector requires frequent inspection, digitization, and diagnosis of its critical infrastructure, this is in order to guarantee the safety of people, the environment, and critical assets. In this context, we propose a 6DOF articulated robot arm that is able to perform the inspection tasks autonomously. The robot has interchangeable sensors and a vision system for visual inspection of critical components in the plant such as gauges, pumps, pipes, etc. in industrial settings, aiding in data gathering using YOLO V8 architecture. During the tests, the robotic arm platform was implemented, and were able to pick and place their sensors. Finally, using the YOLO V8 model, it was possible to automatically detect gauges with an Fl-Score of 87.72 % using Adamax optimizer and an IoU threshold of 0.9.
AB - The industrial plant of the Oil&Gas and energy sector requires frequent inspection, digitization, and diagnosis of its critical infrastructure, this is in order to guarantee the safety of people, the environment, and critical assets. In this context, we propose a 6DOF articulated robot arm that is able to perform the inspection tasks autonomously. The robot has interchangeable sensors and a vision system for visual inspection of critical components in the plant such as gauges, pumps, pipes, etc. in industrial settings, aiding in data gathering using YOLO V8 architecture. During the tests, the robotic arm platform was implemented, and were able to pick and place their sensors. Finally, using the YOLO V8 model, it was possible to automatically detect gauges with an Fl-Score of 87.72 % using Adamax optimizer and an IoU threshold of 0.9.
KW - Industrial Environments
KW - Machine Learning
KW - Robotics
UR - http://www.scopus.com/inward/record.url?scp=85211891905&partnerID=8YFLogxK
U2 - 10.1109/ANDESCON61840.2024.10755772
DO - 10.1109/ANDESCON61840.2024.10755772
M3 - Conference contribution
AN - SCOPUS:85211891905
T3 - IEEE Andescon, ANDESCON 2024 - Proceedings
BT - IEEE Andescon, ANDESCON 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE Andescon, ANDESCON 2024
Y2 - 11 September 2024 through 13 September 2024
ER -