Mattia Tavernini
Papers
3
Total Citations
46
H-Index
3
About
Mattia Tavernini is a robotics researcher whose work centers on assistive technologies and autonomous systems for mobility, with a particular focus on improving quality of life for individuals with motor disabilities. His key research areas include sensor calibration for motion capture, human-robot interaction, and intelligent wheelchair navigation. Tavernini’s most impactful contribution is his 2017 paper on automatic graph-based spatiotemporal extrinsic calibration of multiple Kinect V2 ToF cameras (23 citations), which introduced a novel, simple, and fast technique for calibrating multi-camera systems that provide 3D point clouds and chromatic data—a foundational tool for robotics and motion tracking. He also developed the RoboEYE system (2021, 10 citations), a semi-autonomous, gaze-driven power wheelchair designed to enable users with severe motor disabilities to move easily and autonomously within their homes, enhancing domestic mobility and independence. Additionally, his work on augmented robotics for electronic wheelchairs (2017, 13 citations) further explores how sensor fusion and robotic assistance can improve navigation in domestic environments. Tavernini’s research bridges advanced calibration techniques with practical assistive robotics, demonstrating a clear commitment to creating accessible, reliable, and safe solutions that empower users with limited mobility.
Research Focus
Key Achievements
Top Papers
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