Papers
4
Total Citations
92
H-Index
4
About
Camillo Porcaro is a leading researcher at the intersection of neuroscience, robotics, and human-machine interaction. His work focuses on decoding brain activity—primarily through non-invasive electroencephalography (EEG)—to create more intuitive and responsive assistive technologies. Porcaro’s major contributions include pioneering the combined analysis of cortical EEG and peripheral nerve stump signals to improve robotic hand control for amputees, a study that has garnered 41 citations and laid foundational work for brain-controlled prosthetics. He has also advanced the field of human-in-the-loop robotics, developing systems where EEG signals enable users to correct a smart wheelchair’s trajectory planning mistakes in real time (24 citations) and to enhance mobile robot navigation when sensors fail to detect obstacles (15 citations). His 2022 work on human-in-the-loop approaches for mobile robots (12 citations) further demonstrates how integrating human cognitive feedback can dramatically improve safety and autonomy in complex environments. Porcaro’s research is notable for its practical, user-centered focus, directly addressing real-world challenges in assistive robotics and neural interfacing. His work has significant implications for improving the quality of life for individuals with motor disabilities and for advancing safe, collaborative human-robot systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Human-in-the-Loop Approach for Enhanced Mobile Robot Navigation12 citations · 2022