Massimiliano Poletti

Papers

Total Citations

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About

Massimiliano Poletti is a leading researcher in the fields of bionic prosthetics, human-robot interaction, and teleoperation control. His work focuses on bridging the gap between human intent and robotic execution, particularly for underactuated and nonlinear bionic hands. Poletti’s most cited paper, "Teleoperation Control of an Underactuated Bionic Hand: Comparison between Wearable and Vision-Tracking-Based Methods" (2022, 14 citations), systematically compares wearable and vision-based control strategies, addressing critical challenges such as mechanical backlash and intuitive manipulation. This study provides foundational insights for developing more natural and accessible prosthetic and robotic grasping systems. Beyond this work, Poletti’s research explores sensor fusion, control algorithms, and user-centered design to enhance dexterity and usability in real-world applications. His contributions have significant implications for assistive technology, rehabilitation, and industrial robotics, helping to make bionic hands more responsive and practical for daily use. With a growing citation record, Poletti is recognized for advancing teleoperation methods that prioritize both performance and user experience, positioning him as an influential voice in the next generation of bionic and robotic interfaces.