Francesco Alonge
Papers
12
Total Citations
118
H-Index
6
About
Francesco Alonge is an Italian researcher whose work has made significant contributions to the fields of robotics, adaptive control, and localization systems. His research career spans over two decades, with a particular focus on developing advanced control strategies for robotic manipulators that address real-world engineering challenges such as trajectory tracking, force estimation, and human-robot interaction. Among his most influential contributions is his pioneering work on adaptive and robust control of robotic manipulators, including methods that eliminate the need for velocity feedback — a practically valuable innovation that reduces sensor complexity and noise-related errors. His 2004 paper on globally convergent adaptive control remains his most cited work, with 29 citations, reflecting its lasting impact on the field. Alonge has also advanced the understanding of human-robot collaboration, particularly through contact and force estimation algorithms designed to ensure safety when humans and robots share a workspace. More recently, his research has expanded into range-based localization, proposing novel schemes that leverage parallel robot kinematics as an alternative to traditional trilateration approaches. With a body of work accumulating over 100 citations and spanning theoretical Lyapunov-based analysis to experimental validation, Alonge's research consistently bridges rigorous mathematical foundations with practical robotics applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2An adaptive control law for robotic manipulator without velocity feedback22 citations · 2002
- 3Contact Estimation in Robot Interaction18 citations · 2014
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- 5Interaction control of robotic manipulators without force measurement9 citations · 2010
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