TY - GEN
T1 - Visual servoing based dynamic groove following with an industrial robot
AU - Sarabia, Gorka
AU - Izaguirre, Alberto
AU - Elkorobarrutia, Xabier
AU - Ruiz, Virginia
AU - Abu-Dakka, Fares
AU - Andonegui, Imanol
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The evolving landscape of industrial automation demands adaptive solutions to cope with dynamic manufacturing processes. This paper presents a novel methodology for laser-based dynamic groove following by an industrial robot, aimed at addressing the challenges posed by modern manufacturing environments. Unlike conventional offline trajectory programming, our approach employs real-time trajectory generation, facilitated by a specially designed tool integrating a mastic extruder and a laser line sensor. Control points defining the groove's geometry are accurately determined using laser sensor readings, while smooth trajectories are generated through Catmull-Rom spline (CR) interpolation for Cartesian motion and Squad interpolation for angular motion. The trajectory is communicated to the robot using Robot Sensor Interface (RSI) software, ensuring precise execution. Experimental validation demonstrates the efficacy and adaptability of our methodology in a simulated industrial environment, highlighting its potential for enhancing manufacturing flexibility and quality.
AB - The evolving landscape of industrial automation demands adaptive solutions to cope with dynamic manufacturing processes. This paper presents a novel methodology for laser-based dynamic groove following by an industrial robot, aimed at addressing the challenges posed by modern manufacturing environments. Unlike conventional offline trajectory programming, our approach employs real-time trajectory generation, facilitated by a specially designed tool integrating a mastic extruder and a laser line sensor. Control points defining the groove's geometry are accurately determined using laser sensor readings, while smooth trajectories are generated through Catmull-Rom spline (CR) interpolation for Cartesian motion and Squad interpolation for angular motion. The trajectory is communicated to the robot using Robot Sensor Interface (RSI) software, ensuring precise execution. Experimental validation demonstrates the efficacy and adaptability of our methodology in a simulated industrial environment, highlighting its potential for enhancing manufacturing flexibility and quality.
UR - http://www.scopus.com/inward/record.url?scp=85208240546&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85208240546&partnerID=8YFLogxK
U2 - 10.1109/CASE59546.2024.10711597
DO - 10.1109/CASE59546.2024.10711597
M3 - Conference contribution
AN - SCOPUS:85208240546
T3 - IEEE International Conference on Automation Science and Engineering
SP - 761
EP - 767
BT - 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Y2 - 28 August 2024 through 1 September 2024
ER -