Stefano Divan
Papers
13
Total Citations
202
H-Index
9
About
Stefano Divan is a leading researcher in assistive robotics, with a primary focus on developing intelligent, safe, and user-friendly robotic walkers for elderly and mobility-impaired individuals. His work centers on human-robot interaction, passive path following, and authority-sharing control strategies. Divan’s major contributions include the creation of the ACANTO Interactive Guidance System and the FriWalk robotic walker, which combine physical and cognitive support for navigation in crowded public spaces. He pioneered the use of low-cost actuators and electromechanical brakes to simulate passive behavior, allowing users to maintain control while receiving guidance—a key innovation for user safety and acceptance. His most-cited paper, “Human–Robot Interaction Analysis for a Smart Walker for Elderly” (48 citations), along with his work on socially-aware obstacle avoidance (30 citations), demonstrates his impact on the field. Divan’s research has been validated through pilot studies in real environments, showing improvements in usability and user experience. His notable achievements include developing the minimum time-minimum jerk traffic management system for automated guided vehicles and addressing steering singularities in passive walkers, making assistive technology more accessible and effective for aging populations.
Research Focus
Key Achievements
Top Papers
- 1
- 2Socially-Aware Reactive Obstacle Avoidance Strategy Based on Limit Cycle30 citations · 2020
- 3Simulating Passivity for Robotic Walkers via Authority-Sharing18 citations · 2018
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- 7Passive robotic walker path following with bang-bang hybrid control paradigm14 citations · 2016
- 8Minimum Time—Minimum Jerk Optimal Traffic Management for AGVs14 citations · 2020
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