Papers
2
Total Citations
54
H-Index
2
About
A. Rocchi’s research lies at the intersection of precision motion control and advanced sensing for robotics. His work on permanent-magnet step motors introduced a global learning position control strategy that overcomes torque nonuniformity, enabling higher efficiency and reliability in actuation systems—a contribution cited over 30 times for its practical impact on motor design. In parallel, Rocchi advanced ultrasonic rangefinding by developing sampled baseband correlators, replacing traditional threshold-based analog methods with digital correlation techniques. This innovation, cited 20 times, significantly improved measurement accuracy for in-air robotic sensing, albeit with increased computational demands. His dual focus on motor control and sensor signal processing reflects a systems-level approach to robotics, bridging hardware performance and algorithmic precision. Rocchi’s contributions have informed both academic research and practical engineering, particularly in applications requiring high-torque actuation and precise distance measurement. His work remains a reference for those developing efficient, durable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Global Learning Position Controls for Permanent-Magnet Step Motors34 citations · 2011
- 2Sampled baseband correlators for in-air ultrasonic rangefinders20 citations · 1998