Lars Lindkvist
Papers
3
Total Citations
53
H-Index
3
About
Lars Lindkvist is a leading researcher in geometry assurance and digital manufacturing, with a focus on enhancing precision in production systems. His work centers on the integration of simulation, data flow, and robotics to enable real-time control and optimization of product quality. Lindkvist’s major contributions include pioneering the concept of Digital Twin for geometry assurance, as detailed in his most-cited paper (2017, 29 citations), which leverages faster algorithms and increased data availability to move simulation toward real-time applications. He also advanced robust robotic assembly through non-nominal path planning (2013, 20 citations) and explored variation in assembly forces due to spot weld positioning (2013, 4 citations). With a total of over 50 citations across his key works, Lindkvist’s research has significant impact on reducing manufacturing defects and improving assembly efficiency. His notable achievements include developing frameworks that bridge simulation and production control, making him a key figure in the evolution of smart manufacturing. For students and researchers, Lindkvist’s work offers a compelling vision of how digital twins can transform geometry assurance in modern industry.
Research Focus
Key Achievements
Top Papers
- 1
- 2Non-nominal path planning for robust robotic assembly20 citations · 2013
- 3