Tanvir Hasan
Papers
1
Total Citations
11
H-Index
1
About
Tanvir Hasan is an emerging researcher in robotics and intelligent automation, with a focus on human-robot interaction and computer vision for healthcare applications. His most-cited work, "A ROS-based Voice Controlled Robotic Arm for Automatic Segregation of Medical Waste Using YOLOv3" (2022, 11 citations), addresses a critical challenge amplified by the Covid-19 pandemic: the safe handling and disposal of infectious medical waste. By integrating a voice-controlled robotic arm with the YOLOv3 object detection algorithm within a Robot Operating System (ROS) framework, Hasan developed a system that reduces direct human contact with hazardous materials, thereby protecting frontline health workers and waste disposers. This contribution highlights his ability to combine deep learning, robotics, and real-world problem-solving to enhance safety in high-risk environments. His work demonstrates the potential of affordable, automated solutions for waste management in healthcare settings, earning recognition for its timely relevance and practical impact. As a researcher, Hasan continues to explore the intersection of autonomous systems and public health, contributing to the growing field of intelligent robotic assistance.
Research Focus
Key Achievements
Top Papers
- 1