Nicola Pellegrini
Papers
17
Total Citations
217
H-Index
7
About
Nicola Pellegrini is a prominent robotics researcher whose work spans collaborative robotics, rehabilitation engineering, machine learning-based control systems, and industrial robot integration. His most influential contribution, a comprehensive 2023 literature review on collaborative robot (COBOT) applications, has rapidly accumulated 86 citations, establishing him as a key voice in mapping the evolving landscape of human-robot collaboration across industrial and service sectors. Earlier work on elbow rehabilitation robotics (31 citations) demonstrates his commitment to applying robotic systems to improve patient outcomes in upper limb recovery, bridging engineering precision with clinical need. Pellegrini has made notable advances in intelligent robot control, developing machine learning and artificial neural network-based inverse kinematic solvers that address longstanding accuracy limitations in robotic positioning — work cited 30 times across two complementary studies. His research also tackles practical decision-making challenges, including robot selection methodologies for parallel kinematic machines and neural-kinematic calibration architectures. A 2024 case study examining robotics adoption across over 600 Italian companies reflects his broader interest in industrial maturity and economic impact. Through low-cost educational robot design and reliability analysis, Pellegrini consistently bridges theoretical innovation with accessible, real-world application, making him a versatile and impactful figure in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1COBOT Applications—Recent Advances and Challenges86 citations · 2023
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- 6Towards Industrial Robots’ Maturity: An Italian Case Study9 citations · 2024
- 7Low-Cost Design Solutions for Educational Robots7 citations · 2018
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