Papers
2
Total Citations
5
H-Index
2
About
Qijia Kang’s research focuses on the design and development of intelligent rescue robotics, with an emphasis on real-time visual feedback and low-cost embedded systems. His major contribution lies in creating a visualized search and rescue robot built on the Arduino platform, which integrates an infrared life detector and a camera module to transmit live scene data directly to a mobile phone. This work directly addresses the inefficiencies and limitations of existing rescue robots by offering a more accessible, responsive solution for disaster scenarios. Although his most-cited papers—published in 2016—have garnered modest citation counts (3 and 2 respectively), their practical impact is notable for pioneering a low-cost, open-source approach to life detection and remote visualization in emergency response. Kang’s research demonstrates how combining simple hardware with wireless communication can enhance the speed and effectiveness of search operations, making his work a valuable reference for students and engineers interested in affordable robotics for humanitarian applications.
Research Focus
Key Achievements
Top Papers
- 1Research on Visualized Rescue Robot3 citations · 2016
- 2Research on visualized search and rescue robot2 citations · 2016