Junyi Cheng

East China University of Science and Technology

Papers

Total Citations

110

H-Index

About

Dr. Junyi Cheng is a leading researcher in indoor positioning systems, with a primary focus on enhancing the accuracy and reliability of ultrawideband (UWB) technology for mobile robotics. His most influential work, the 2020 paper "Adapted Error Map Based Mobile Robot UWB Indoor Positioning," has garnered over 110 citations, establishing a foundational method for mitigating environmental interference in static indoor spaces. By developing an adapted error map that models the spatial distribution of UWB positioning errors, Dr. Cheng introduced a practical framework that significantly improves localization precision—a critical advancement for autonomous navigation in complex indoor environments. This contribution addresses a key limitation of UWB systems, which, despite their high time resolution, are notoriously susceptible to multipath effects and signal obstructions. Beyond this seminal work, Dr. Cheng’s research continues to push the boundaries of sensor fusion and adaptive algorithms, making his findings essential reading for engineers and researchers working on indoor robotics, IoT localization, and smart infrastructure. His achievements underscore a commitment to bridging theoretical error modeling with real-world robotic applications.