Giovanni Mezzina
Papers
8
Total Citations
70
H-Index
5
About
Giovanni Mezzina is a researcher at the forefront of assistive robotics and brain-computer interfaces (BCIs), dedicated to restoring autonomy for individuals with motor impairments. His work centers on creating seamless, non-invasive communication pathways between the human brain and mechatronic devices, with a particular focus on P300 and movement-related potential (MRP) signals. His most cited paper (34 citations) introduces an embedded system that uses P300 brain activity to remotely drive mechanical actuators, such as wheelchairs or cars, offering a safe and accessible solution for tetraplegic users. Mezzina has also made significant strides in personal care robotics, notably redesigning the Pepper robot to enable autonomous object manipulation through a fusion of RGB and 3D segmentation data (8 citations). His innovative approach extends to smart homes, where he tackles domestic food waste via shelf-life dynamical control (10 citations), and to ambient assisted living, where he integrates smart sensors with brain-actuated interfaces (7 citations). By digitizing EEG signals for semi-autonomous robot control, Mezzina’s work reduces caregiver burdens and enhances quality of life, marking him as a key innovator in human-robot interaction and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2Preventing Food Waste by the Shelf-Life Dynamical Control in Smart Homes10 citations · 2022
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- 8An Embeddable Object Manipulation Framework for Assistive Robotics1 citations · 2023