Fabio Ghilardelli
Papers
1
Total Citations
17
H-Index
1
About
Fabio Ghilardelli’s research centers on robotics trajectory planning and control, with a particular emphasis on ensuring stability and accuracy in manipulator motion. His major contribution lies in developing techniques to preserve the stability of trajectory scaling algorithms—a critical advancement for robots operating near their physical limits. By addressing the instability that arises when user-defined trajectories neglect manipulator constraints, Ghilardelli’s work enables more reliable path tracking in real-world applications, from industrial automation to collaborative robotics. His most cited paper, “Techniques to preserve the stability of a trajectory scaling algorithm” (2013), has garnered 17 citations, reflecting its foundational role in this niche yet impactful area. This work has influenced subsequent research on real-time trajectory adaptation and safety in human-robot interaction. Ghilardelli’s achievements demonstrate a focused dedication to solving practical control challenges, making his contributions valuable for engineers and researchers seeking to enhance robot performance under dynamic constraints. His research continues to inform the design of robust scaling mechanisms that balance speed and stability in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Techniques to preserve the stability of a trajectory scaling algorithm17 citations · 2013