Papers

7

Total Citations

73

H-Index

4

About

Iacopo Tamellini’s research sits at the intersection of robotics, vibration control, and energy-efficient motion planning, with a particular focus on underactuated systems—machines with fewer actuators than degrees of freedom. His major contributions include developing robust methods for suppressing residual vibrations in uncertain systems, such as his 2021 work on robust structural modification for trajectory planning (29 citations). He also advanced active vibration control for flexible robot arms with time delays, proposing a robust receptance method that addresses instability issues (16 citations). Tamellini’s innovative inverse dynamics approach for feedforward control of nonminimum-phase underactuated systems (15 citations) has been pivotal for precise motion in complex robots. His recent work on reducing energy consumption and driving torque through natural motion in underactuated robotic arms (2023) and minimum-energy trajectory planning (2025) highlights his commitment to sustainable robotics. Notable achievements include applying his methods to spatial gantry cranes for cluttered environments, demonstrating real-world impact. With over 70 total citations, Tamellini’s work is shaping the future of efficient, vibration-free robotic systems.

Research Focus

Key Achievements

4
H-Index
7
Papers
73
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Residual vibration suppression in uncertain systems: A robust structural modification approach to trajectory planning
29 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Padua, University of Verona, Gestione Sistemi per l’Informatica (Italy)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago