Dario Richiedei
Papers
25
Total Citations
321
H-Index
10
About
Dario Richiedei is an Italian researcher whose work spans robotics, motion control, vibration suppression, and energy-efficient automation systems. His research is particularly distinguished by its dual focus on mechanical dynamics and intelligent control design, bridging theoretical foundations with practical engineering applications. Richiedei has made significant contributions to trajectory planning and energy optimization in robotic systems, notably demonstrating how functional and kinematic redundancy can be strategically exploited to reduce energy consumption without compromising task performance — work that has collectively attracted over 90 citations. His investigations into cable-driven parallel robots (CDPRs), including novel model predictive control schemes for flexible-cable systems, represent a growing area of his portfolio, with recent papers already accumulating strong early citation counts. His earlier foundational work on delayed reference control and load-swing damping in robotic cranes established his reputation in vibration and motion control, while subsequent research on robust trajectory planning under system uncertainty further cemented his expertise. Notably, his 2022 contribution on stable inverse dynamics for underactuated systems addresses a challenging class of nonminimum-phase problems relevant across robotics and mechatronics. Overall, Richiedei's body of work reflects a consistent commitment to making robotic systems smarter, more efficient, and more dynamically precise — making his research highly relevant to both academic and industrial audiences.
Research Focus
Key Achievements
Top Papers
- 1Energy-efficient design of multipoint trajectories for Cartesian robots36 citations · 2019
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- 3Energy Optimization of Functionally Redundant Robots through Motion Design31 citations · 2020
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- 6Trajectory Design for Energy Savings in Redundant Robotic Cells23 citations · 2019
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