Fulvio Forni
Papers
6
Total Citations
61
H-Index
4
About
Fulvio Forni is a leading researcher at the intersection of control theory and robotics, with a particular focus on soft robotics, human-robot interaction, and surgical robotics. His work is distinguished by its innovative use of energy-based and passivity-preserving control methods to ensure stable, safe, and adaptive robot behavior. Forni’s most cited paper, “Leveraging Morphological Computation for Controlling Soft Robots” (2023, 39 citations), explores how soft robots can exploit their own physical dynamics to simplify control, drawing inspiration from nature. He has also made significant contributions to human-robot collaboration, as seen in his 2024 study on augmented reality and eye-gaze pointing for assembly tasks (6 citations). In the domain of surgical robotics, Forni has developed a generalized impedance control approach for minimally invasive surgery (2023, 3 citations) and discovered a new power law linking tool-tip orientation speed to geometry in teleoperation (2022, 5 citations). His work on passivity-preserving H-infinity synthesis (2022, 6 citations) provides a rigorous framework for designing stable robot interactions. Forni’s research is highly impactful, offering practical solutions for controlling complex, compliant systems while advancing fundamental control theory.
Research Focus
Key Achievements
Top Papers
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- 3A Passivity Preserving H-infinity Synthesis Technique for Robot Control6 citations · 2022
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- 6On Feedback Error Learning for Adaptive Soft Robot Control2 citations · 2024