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About

Mirco De Marchi is a researcher at the forefront of embedded systems and human-robot interaction, with a focus on safety, privacy, and computational efficiency in Industry 4.0. His work bridges critical gaps in real-time robotic systems, particularly through optimizing CPU-iGPU communication on unified memory architectures—a contribution that enables more efficient and ROS-compliant processing on embedded platforms. De Marchi has also advanced the field of collaborative robotics by developing novel methodologies for risk assessment and prediction in human-robot interaction. His approach, combining assertion mining and pose estimation, allows for resource-efficient, run-time hazard detection, directly enhancing workplace safety. Further extending his impact, he has addressed the dual challenges of safety and privacy in smart manufacturing environments, as demonstrated in his work on the ICE Laboratory case study. With over 15 citations across his most influential papers, De Marchi’s research is shaping the next generation of autonomous, secure, and human-aware industrial systems. His work is particularly notable for translating complex computational challenges into practical, deployable solutions for modern manufacturing.