Luca Lattanzi
Papers
6
Total Citations
74
H-Index
4
About
Luca Lattanzi is a robotics researcher whose work focuses on bridging the critical gap between industrial robot repeatability and absolute accuracy for high-precision manufacturing. His most cited paper, “Geometrical calibration of a 6-axis robotic arm for high accuracy manufacturing task” (2020, 49 citations), addresses a fundamental industrial challenge: while robots are highly repeatable, they often lack the absolute accuracy needed for autonomous, high-stakes tasks. This work, along with his earlier “Cognitive Robot Referencing System for High Accuracy Manufacturing Task” (2017), proposes calibration and cognitive referencing methods to enable robots to perform with the precision required in modern manufacturing. Lattanzi also contributes to the design of flexible, reconfigurable production systems, as seen in his work on Cyber-Physical System approaches for smart robotic cells (2016) and efficient motion planning algorithms for multi-goal tasks (2013). His research spans from virtual planning for autonomous inspection to field robotics supporting household appliance laboratories, demonstrating a consistent focus on making industrial robots more intelligent, accurate, and adaptable. With a total of over 70 citations across his key works, Lattanzi’s contributions are shaping the future of autonomous, high-accuracy manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Cognitive Robot Referencing System for High Accuracy Manufacturing Task6 citations · 2017
- 3Virtual planning for autonomous inspection of electromechanical products6 citations · 2012
- 4
- 5
- 6An efficient motion planning algorithm for robot multi-goal tasks4 citations · 2013