Papers
9
Total Citations
96
H-Index
4
About
Lorenzo Vianello is a leading researcher at the intersection of physical human-robot interaction (pHRI), haptics, and ergonomics, with a focus on making collaborative robots safer and more intuitive. His most influential work, “Human Posture Prediction During Physical Human-Robot Interaction” (39 citations), introduces probabilistic inverse kinematics to forecast how a human’s body will naturally adapt when physically coupled with a robot—a critical step toward fluid, non-disruptive collaboration. Vianello’s contributions extend to understanding role transitions and adaptation in human-cobot teams (25 citations), revealing how shifting between leader and follower roles affects performance and trust. He has also pioneered real-time ergonomic feedback through “Latent Ergonomics Maps” (9 citations), enabling workers to visualize and reduce musculoskeletal strain during tasks. In haptics, his studies on virtual connection stiffness during ankle tracking (12 citations) illuminate how compliance shapes therapist-patient interactions, with implications for rehabilitation robotics. Vianello’s work is widely cited for its practical impact on collaborative manufacturing, assistive robotics, and human-centered design, earning him recognition as a key voice in the future of human-robot teamwork.
Research Focus
Key Achievements
Top Papers
- 1Human Posture Prediction During Physical Human-Robot Interaction39 citations · 2021
- 2The effects of role transitions and adaptation in human–cobot collaboration25 citations · 2023
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- 5Human-Humanoid Interaction and Cooperation: a Review3 citations · 2021
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