Papers
3
Total Citations
87
H-Index
3
About
Daniele Pianu is a researcher at the intersection of human-robot interaction, assistive technology, and computer vision. His work focuses on developing non-invasive, intuitive interfaces that bridge the gap between humans and robotic systems, with a particular emphasis on applications for rehabilitation and communication for individuals with disabilities. Pianu’s most impactful contribution is his pioneering work on vision-based pose estimation (VPE) for robot-mediated hand telerehabilitation, which has garnered 48 citations. This approach eliminates the need for complex calibration, enabling smooth, natural interaction between users and robotic systems—a critical advancement for accessible therapy. He is also the lead author behind PARLOMA, a novel human-robot interaction system designed to enable remote communication in tactile Sign Language for deaf-blind individuals, a groundbreaking solution to a previously unmet need. His real-time single-camera hand gesture recognition system further extends this work, demonstrating practical, low-cost assistive communication. With over 87 combined citations across his key papers, Pianu’s research is shaping the future of inclusive, vision-driven robotics and assistive communication technologies.
Research Focus
Key Achievements
Top Papers
- 1Vision-Based Pose Estimation for Robot-Mediated Hand Telerehabilitation48 citations · 2016
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