Francesco Iori

Piaggio (Italy), Scuola Superiore Sant'Anna

Papers

Total Citations

H-Index

About

Francesco Iori is a roboticist whose work sits at the intersection of human-robot interaction, soft robotics, and adaptive manipulation. His primary research focuses on enabling robots to perform seamless, reactive handovers to humans—a task that demands real-time coordination and adaptability. In his most cited work, "DMP-Based Reactive Robot-to-Human Handover in Perturbed Scenarios" (2023, 16 citations), Iori combines Dynamic Movement Primitives with online trajectory modulation to allow robots to fluidly adjust their motion in response to human partners, even under unexpected perturbations. He further advances this line of research in "Adaptive Robot-Human Handovers With Preference Learning" (2023, 4 citations), where he integrates preference learning to tailor robot behavior to individual human users, enhancing both safety and naturalness. Beyond handovers, Iori contributes to industrial automation through "Grasping of Li-ion Batteries via Additively Manufactured Soft Gripper and Collaborative Robot" (2022, 4 citations), demonstrating how 3D-printed soft grippers can be deployed on collaborative robots for delicate battery handling. With a growing citation record and a focus on practical, human-aware robotics, Iori is shaping the future of safe and intuitive physical human-robot collaboration.