Papers
9
Total Citations
114
H-Index
6
About
Jidong Jia is a leading researcher in robotics, with a focus on dynamic parameter identification, human-robot interaction safety, and specialized robot design for challenging environments. His work addresses critical challenges in robot control and real-world deployment. Jia’s most cited paper (2019, 41 citations) introduces an improved experimental design for dynamic parameter identification in manipulators with joint torque sensors, a foundational method for enhancing model-based control by extracting meaningful signals from system noise. He further advanced this area with a 2021 study on proprioception-based identification. Jia has also made significant contributions to wall-climbing robots, including a magnetic circuit analysis for Halbach arrays (2022, 17 citations) and the design of a push shovel-type hull-cleaning robot (2024, 7 citations), tackling the difficult problem of marine biofouling removal on variable-curvature ship hulls. His research extends to safe human-robot interaction, as seen in his comprehensive 2020 review of the field, and to dexterous manipulation, with the development of the SoroAgilHand-1 (2024). With over 100 total citations, Jia’s work is driving progress in both the theoretical foundations and practical applications of robotics, particularly for automation in complex, safety-critical settings.
Research Focus
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