Papers
1
Total Citations
30
H-Index
1
About
Afnan Hasan is a researcher at the forefront of human-robot interaction (HRI) and assistive robotics, with a particular focus on intuitive control systems. His most-cited work, "A Robotic Hand: Controlled With Vision Based Hand Gesture Recognition System" (2021, 30 citations), addresses a critical challenge in modern robotics: the limitations of traditional input devices like keyboards and mice. Hasan’s major contribution lies in developing a vision-based system that allows users to control robotic hands through natural hand gestures, eliminating the need for physical contact or wearable sensors. This innovation has significant implications for assistive technologies, enabling more seamless and accessible human-machine collaboration. By prioritizing direct, intuitive control, Hasan’s research bridges the gap between complex robotic systems and everyday usability. His work has been recognized for its practical impact, offering a scalable solution for rehabilitation, prosthetics, and industrial automation. With a growing citation count and a clear focus on user-centered design, Afnan Hasan is establishing himself as a promising voice in the field of gesture-based robotic control.
Research Focus
Key Achievements
Top Papers
- 1A Robotic Hand: Controlled With Vision Based Hand Gesture Recognition System30 citations · 2021