Jillur Rahman Saurav
Papers
2
Total Citations
7
H-Index
2
About
Jillur Rahman Saurav is a researcher at the forefront of assistive robotics and the Internet of Things (IoT), with a specific focus on enhancing human-robot interaction (HRI) for individuals with visual impairments. His work centers on developing accessible, smartphone-based frameworks that bridge the gap between users and robotic systems. In his highly cited 2022 paper, Saurav proposed a novel IoT-Controller framework that enables blind users to direct robots in complex tasks, such as pick-and-place operations, moving beyond the navigational focus of prior research. He further advanced this field with an Edge-IoT framework that processes user speech commands via a mobile application, seamlessly transmitting instructions to a robotic system for execution. These contributions, garnering 5 and 2 citations respectively, demonstrate a clear trajectory toward creating intuitive, low-latency interfaces that empower users with disabilities. By integrating edge computing with mobile and speech technologies, Saurav’s work lays a critical foundation for more inclusive, real-world robotic applications, making him a notable emerging voice in the intersection of assistive technology and IoT-driven automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Edge-IoT framework for speech and mobile-based human-robot interaction2 citations · 2022