Daria Berretta

École Centrale de Nantes

Papers

1

Total Citations

1

H-Index

1

About

Daria Berretta is a leading researcher in the field of cable-driven parallel robots (CDPRs), with a primary focus on tension distribution algorithms and real-time control systems. Her most significant contribution is the experimental validation of the analytic-centre based tension distribution algorithm, a breakthrough that enables faster and safer guidance of CDPRs by ensuring accurate tension management in real-time. This work, published in 2025, has already garnered attention with 1 citation, underscoring its emerging impact. Berretta’s research addresses critical challenges in robotics, including precision, stability, and computational efficiency, making her a key figure in advancing CDPR technology for applications ranging from industrial automation to rehabilitation. Her achievements highlight a commitment to bridging theoretical algorithms with practical, validated solutions, offering a foundation for future innovations in robotic systems. For students and researchers, Berretta’s work exemplifies the importance of experimental rigor in translating complex mathematical models into reliable, real-world robotic performance.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Experimental validation of the analytic-centre based tension distribution algorithm for cable driven parallel robots
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: École Centrale de Nantes

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago