Stefano Tedeschi

Cranfield University, The Welding Institute

Papers

Total Citations

H-Index

About

Stefano Tedeschi is at the forefront of integrating advanced digital technologies into manufacturing and robotics, with a core focus on Extended Reality (XR), Cloud Manufacturing, and human-robot interaction. His research is pivotal in redefining how industries leverage the Manufacturing as a Service (MaaS) paradigm, demonstrating how XR, Digital Twins, and the Industrial Internet of Things can dramatically boost factory competitiveness and efficiency. Tedeschi has made significant contributions to visual servoing, rigorously comparing computer vision algorithms—including feature-based and RGB-based methods—to enhance robot perception and autonomy, work that has garnered early recognition. He is also pioneering more intuitive robotic teleoperation, developing a system that uses hand gestures and neural network decoding to control robots seamlessly, removing traditional barriers to human-machine collaboration. With his most cited paper already accumulating 8 citations shortly after publication, Tedeschi’s work is rapidly gaining traction. His achievements lie in making complex automation accessible and efficient, positioning him as a key innovator in the next generation of smart, responsive manufacturing systems.