Junjie Sun

Papers

Total Citations

H-Index

About

Junjie Sun is a robotics researcher whose work bridges intelligent control systems and infrastructure sensing technologies. His primary research areas include wheeled inverted pendulum (WIP) robots, vision-based human tracking, and inertial measurement unit (IMU)-based mapping for underground infrastructure. His most influential contribution is a vision-based adaptive control framework for WIP robots that integrates OptiTrack and Kinect cameras to enable robust, real-time human tracking—a key advancement for service robots in human environments. This work has garnered 85 citations, reflecting its impact on the human-robot interaction and mobile robotics communities. More recently, Sun has addressed a critical challenge in civil infrastructure by developing an underground-pipeline mapping system using IMU technology. This system provides accurate trajectory mapping for power, communication, and oil/gas pipelines, addressing essential construction and maintenance needs. Though newer, this work demonstrates Sun’s ability to translate robotics sensing principles into practical engineering solutions. His research portfolio shows a clear trajectory from human-aware mobile robot control to real-world sensing systems for critical infrastructure—a combination that positions him as a versatile researcher contributing both to foundational robotics and applied sensing technologies.