Jinlong Li

Beijing Technology and Business University, Shanghai Jiao Tong University, Embry–Riddle Aeronautical University

Papers

Total Citations

241

H-Index

About

Jinlong Li is a multidisciplinary researcher whose work spans food science materials, robotics, and autonomous navigation systems. Perhaps his most influential contribution is his 2021 comprehensive review on hydrogels, which has garnered an impressive 190 citations and illuminated the remarkable structural diversity and broad applicability of these soft, crosslinked network materials — from food science innovations to soft robotics, stretchable electronics, and tissue engineering. This work has established him as a significant voice in functional materials research. Alongside his materials science contributions, Li has pursued a distinctive research thread in olfactory-based robotic navigation. His 2020 study on model-based reinforcement learning combined with fuzzy inference methods demonstrated an elegant approach to guiding mobile robots toward odor sources in turbulent environments — a technically challenging problem with meaningful real-world applications in search-and-rescue and environmental monitoring. This built upon his earlier 2014 work developing practical odor plume tracing algorithms tested on Pioneer 3 mobile robots in real indoor settings. Li's career reflects an unusual intellectual range, bridging soft material science and intelligent robotics, making him a researcher whose work offers valuable insights across multiple emerging fields.