Fabiano Zenatti
Papers
5
Total Citations
100
H-Index
5
About
Fabiano Zenatti’s research lies at the intersection of human-robot interaction, assistive robotics, and autonomous navigation, with a focus on developing intelligent mobility aids for elderly and cognitively impaired users. His most impactful work centers on the ACANTO Interactive Guidance System, a smart walker that uses motorized rear wheels to guide seniors safely through crowded spaces, achieving 48 citations. Zenatti pioneered the concept of “simulated passivity” and authority-sharing, a control strategy that makes robotic walkers feel passive to the user—allowing the human to set forward velocity while the robot subtly steers—thereby preserving user autonomy and safety. He also contributed to optimal sensor placement for robot localization, ensuring accurate self-positioning in known environments, and developed a minimum time-minimum jerk traffic management system for automated guided vehicles (AGVs) in warehouses, balancing speed with smooth motion. Across his publications, Zenatti’s work has garnered over 100 citations, reflecting its relevance in assistive robotics and autonomous systems. His research is notable for blending rigorous control theory with real-world applications that directly improve quality of life for vulnerable populations.
Research Focus
Key Achievements
Top Papers
- 1
- 2Simulating Passivity for Robotic Walkers via Authority-Sharing18 citations · 2018
- 3Optimal placement of passive sensors for robot localisation15 citations · 2016
- 4Minimum Time—Minimum Jerk Optimal Traffic Management for AGVs14 citations · 2020
- 5Path following for robotic rollators via simulated passivity5 citations · 2017