Theodoros Laspas
Papers
2
Total Citations
24
H-Index
1
About
Theodoros Laspas is a researcher specializing in the precision and calibration of serial articulated robots, with a core focus on elastostatic error compensation and force-loop control. His most influential work, "Closed-force-loop elastostatic calibration of serial articulated robots" (2018), has garnered 23 citations, establishing a foundational method for enhancing robotic accuracy by integrating force feedback into calibration processes. This contribution addresses critical challenges in industrial automation, where even minor compliance errors can compromise precision in tasks like machining or assembly. Laspas further explores the transferability of these compensation parameters across different robotic systems in his 2025 paper, pushing the boundaries of scalable error correction. His research bridges theoretical modeling and practical implementation, offering robust solutions for reducing positional inaccuracies caused by structural deformations. By advancing calibration techniques that account for real-world forces, Laspas’s work directly impacts the reliability and efficiency of articulated robots in manufacturing and beyond. His ongoing investigations into parameter transferability promise to streamline deployment across diverse robotic platforms, cementing his role as a key contributor to the field of robotic metrology and compliance control.
Research Focus
Key Achievements
Top Papers
- 1Closed-force-loop elastostatic calibration of serial articulated robots23 citations · 2018
- 2