Paolo Tomasin
Papers
3
Total Citations
46
H-Index
3
About
Paolo Tomasin’s research lies at the intersection of assistive robotics, computer vision, and human-computer interaction, with a focus on creating intelligent mobility solutions for individuals with severe motor disabilities. His most impactful work includes the development of novel calibration techniques for motion capture systems, notably the "Automatic graph based spatiotemporal extrinsic calibration of multiple Kinect V2 ToF cameras" (2017, 23 citations), which enables precise, automatic alignment of multiple Time-of-Flight cameras for 3D point cloud and color data fusion. This contribution simplifies and accelerates the setup of multi-camera systems, with applications in rehabilitation and human motion analysis. Tomasin is also recognized for his pioneering work in assistive wheelchair technology. His paper "Augmented Robotics for Electronic Wheelchair to Enhance Mobility in Domestic Environment" (2017, 13 citations) integrates robotic augmentation to improve navigation and safety. More recently, his "RoboEye, an Efficient, Reliable and Safe Semi-Autonomous Gaze Driven Wheelchair for Domestic Use" (2021, 10 citations) introduces a gaze-controlled wheelchair that empowers users with limited motor control to navigate their homes independently. By combining robust calibration methods with user-centered design, Tomasin’s work directly addresses real-world accessibility challenges, making him a notable contributor to the field of assistive robotics.
Research Focus
Key Achievements
Top Papers
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