Dongjia Wang

Papers

Total Citations

H-Index

About

Dongjia Wang is a leading researcher in multirobot systems, specializing in resilient cooperative localization and decentralized perception. His work addresses fundamental challenges in enabling multiple robots to accurately determine their positions in dynamic, GPS-denied environments. Wang’s most influential contributions include developing factor graph-based frameworks that improve information fusion from multiple sources and track interdependencies between robots, overcoming limitations of traditional algorithms. His 2023 paper, "Resilient Decentralized Cooperative Localization for Multisource Multirobot System," has garnered 19 citations for its novel approach to handling diverse measurement models. Building on this, his 2024 work, "Resilient Cooperative Localization Based on Factor Graphs for Multirobot Systems," with 10 citations, further advances high-precision localization in dynamic settings. Wang’s research is critical for applications in search-and-rescue, autonomous exploration, and industrial automation, where robust, decentralized coordination is essential. His work is shaping the next generation of intelligent, resilient multirobot systems.