Kangkang Ji

Xi'an University of Science and Technology

Papers

Total Citations

H-Index

About

Kangkang Ji is a researcher specializing in mobile robotics, with a particular focus on simultaneous localization and mapping (SLAM) in challenging underground environments. His work addresses critical challenges in autonomous navigation, especially in coal mine tunnels where poor lighting, uneven terrain, and rapid robot motion degrade visual tracking. Ji’s major contributions include developing a coupled visual and inertial measurement unit (IMU) method that enhances localization and mapping robustness under these adverse conditions, as well as an improved firefly particle filter algorithm for SLAM that mitigates particle weight degradation and depletion. Both of these highly cited papers—each garnering 12 citations—demonstrate his impact on advancing SLAM accuracy and reliability. By tackling real-world issues such as bumpy ground and inconsistent lighting, Ji’s research directly supports the deployment of mobile robots in industrial and hazardous settings, making his work notable for its practical applications in mining automation and beyond.