TY - JOUR
T1 - Transforming industrial manipulators via kinesthetic guidance for automated inspection of complex geometries
AU - Loukas, Charalampos
AU - Vasilev, Momchil
AU - Zimermann, Rastislav
AU - Vithanage, Randika K. W.
AU - Mohseni, Ehsan
AU - MacLeod, Charles N.
AU - Lines, David
AU - Pierce, Stephen Gareth
AU - Williams, Stewart
AU - Ding, Jialuo
AU - Burnham, Kenneth
AU - Sibson, Jim
AU - O'Hare, Tom
AU - Grosser, Michael R.
PY - 2023/4/5
Y1 - 2023/4/5
N2 - The increased demand for cost-efficient manufacturing and metrology inspection solutions for complex-shaped components in High-Value Manufacturing (HVM) sectors, requires increased production throughput and precision. This drives the integration of automated robotic solutions. However, the current manipulators utilising traditional programming approaches demand specialised robotic programming knowledge and make it challenging to generate complex paths and adapt easily to unique specifications per component, resulting in an inflexible and cumbersome teaching process. Therefore, this body of work proposes a novel software system, to realize kinesthetic guidance for path planning in real-time intervals at 250 Hz utilizing an external off-the-shelf Force Torque (FT) sensor. The proposed work is demonstrated on a 500 mm2 near net shaped Wire + Arc Additive Manufacturing (WAAM) complex component with embedded defects, by teaching the inspection path for defect detection with a standard industrial robotic manipulator in a collaborative fashion and adaptively generating the kinematics resulting for uniform coupling of ultrasound inspection. The utilized method proved superior performance and speed, accelerating the programming time over online and offline approaches by an estimate of 88% to 98%. The proposed work is a unique development, retrofitting current industrial manipulators into collaborative entities, securing human job resources and achieving flexible production.
AB - The increased demand for cost-efficient manufacturing and metrology inspection solutions for complex-shaped components in High-Value Manufacturing (HVM) sectors, requires increased production throughput and precision. This drives the integration of automated robotic solutions. However, the current manipulators utilising traditional programming approaches demand specialised robotic programming knowledge and make it challenging to generate complex paths and adapt easily to unique specifications per component, resulting in an inflexible and cumbersome teaching process. Therefore, this body of work proposes a novel software system, to realize kinesthetic guidance for path planning in real-time intervals at 250 Hz utilizing an external off-the-shelf Force Torque (FT) sensor. The proposed work is demonstrated on a 500 mm2 near net shaped Wire + Arc Additive Manufacturing (WAAM) complex component with embedded defects, by teaching the inspection path for defect detection with a standard industrial robotic manipulator in a collaborative fashion and adaptively generating the kinematics resulting for uniform coupling of ultrasound inspection. The utilized method proved superior performance and speed, accelerating the programming time over online and offline approaches by an estimate of 88% to 98%. The proposed work is a unique development, retrofitting current industrial manipulators into collaborative entities, securing human job resources and achieving flexible production.
KW - collaborative robotics
KW - non-destructive evaluation
KW - WAAM
KW - kinesthetic
KW - robot programming
U2 - 10.3390/s23073757
DO - 10.3390/s23073757
M3 - Article
SN - 1424-8220
VL - 23
JO - Sensors
JF - Sensors
IS - 7
M1 - 3757
ER -