Papers
2
Total Citations
4
H-Index
2
About
Chengkun Shi is a researcher focused on engineering education innovation and intelligent robotics perception. Their work spans two distinct but impactful domains: the development of open, shared maker practice education platforms for engineering students, and the application of advanced sensor fusion techniques for autonomous mobile robotics. In the realm of education, Shi’s 2023 paper explores how maker spaces can serve as collaborative hubs for technological innovation and entrepreneurship, proposing models to share teaching resources across higher education parks. In robotics, their 2009 contribution introduces a novel method for constructing grid maps of unstructured environments using Dempster-Shafer evidence theory to fuse laser scanner data, addressing critical challenges in mobile robot navigation. While each of these papers has accumulated 2 citations, they represent foundational work in their respective fields. Shi’s dual focus on hands-on engineering pedagogy and autonomous perception systems demonstrates a commitment to bridging theoretical research with practical, real-world applications—a valuable perspective for students and researchers interested in the intersection of education technology and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Laser-scanner grid map building based on Dempster-Shafer evidence theory2 citations · 2009