Stefano Bisi

Papers

Total Citations

H-Index

About

Stefano Bisi is a robotics researcher whose work centers on human-robot interaction and assistive technologies, with a particular focus on non-invasive control systems. His most notable contribution is the development of an electromyography (EMG)-controlled mobile robot, detailed in his highly cited 2018 paper (38 citations). This work demonstrates a practical, modular robotic platform that leverages the Robot Operating System (ROS) on a Raspberry Pi 3, paired with a Teensy microcontroller, to translate muscle signals into intuitive robot commands. By integrating affordable, off-the-shelf hardware with a robust software architecture, Bisi’s research advances the accessibility of assistive robotics for individuals with motor impairments. His approach emphasizes modularity and real-time control, making his system adaptable for various rehabilitation and mobility applications. With 38 citations, this paper has become a reference point for researchers exploring EMG-based interfaces in mobile robotics. Bisi’s work bridges the gap between biomedical signal processing and practical robotic design, offering a scalable framework that continues to influence the development of user-friendly, assistive robotic systems.