Hao Ji-fei

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Hao Ji-fei is a researcher in robotics and multisensor data fusion, with a focus on enhancing autonomous systems through advanced sensing techniques. Their work centers on improving environmental perception for robots operating in complex, unstructured settings—such as mining or construction sites—where traditional sensors may fail due to dust or poor lighting. A key contribution is the development of an evidential approach to environment sensing, which applies modified Dempster-Shafer theory to fuse data from multiple ultrasonic sensors, boosting the accuracy and reliability of obstacle detection and navigation. This foundational work, published in 2004, has garnered 4 citations, while an earlier 2003 study on multisensor fusion systems for industrial robots has received 3 citations. Though their citation counts are modest, Hao’s research addresses practical challenges in real-world robotics, emphasizing robust sensor integration for dynamic environments. Their achievements include pioneering the use of evidential reasoning in ultrasonic sensor arrays, a technique that informs safer autonomous navigation. For students and researchers, Hao’s work offers a clear example of how theoretical sensor fusion methods can be tailored to solve tangible engineering problems in robotics.