Lars Tingelstad
Papers
12
Total Citations
126
H-Index
8
About
Lars Tingelstad is a leading researcher at the intersection of robotics, digital manufacturing, and Industry 4.0, with a focus on intelligent robotic assembly and welding. His work centers on bridging the gap between design and production by leveraging Model-Based Definition (MBD) and the STEP AP242 standard to automate robot programming. A key contribution is his development of a curvature-based descriptor for coarse alignment of point clouds, enabling precise model fitting for robotic assembly. His research on constraint-based programming using STEP AP242 files has been foundational for automated robotic welding and assembly, directly supporting the vision of smart, connected factories. Tingelstad’s impact is evident in his highly cited work on robotic assembly of aircraft engine components, where he addressed the challenge of uncertain part geometry through closed-loop alignment. He has also advanced practical applications such as robotic weld groove scanning for large tubular T-joints and collision-free trajectory planning. With over 100 citations across his top papers, Tingelstad is recognized for translating complex product data into actionable robotic tasks, making him a key figure in the digital transformation of manufacturing.
Research Focus
Key Achievements
Top Papers
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- 7Multi-Robot Assembly of High-Performance Aerospace Components9 citations · 2012
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- 10Configuration and Control of KMR iiwa Mobile Robots using ROS25 citations · 2020