Papers
6
Total Citations
268
H-Index
5
About
Kewen Li is a researcher whose work spans intelligent control systems, multi-robot coordination, and advanced materials science. His primary contributions lie in developing sophisticated fuzzy adaptive control frameworks for nonholonomic multirobot systems, addressing complex real-world challenges such as fault tolerance, finite-time convergence, event-triggered communication, and dead-zone compensation. By integrating fuzzy logic systems with adaptive backstepping techniques and dynamic surface control, Li has made significant strides in enabling robust, time-varying formation tracking under practical constraints — work that has garnered considerable attention, with his 2023 papers alone accumulating over 180 citations. Beyond robotics and control theory, Li has demonstrated breadth through materials research, contributing a notable 2018 study on conductive self-healing double network hydrogels with applications in wearable electronics and smart robotics, which has attracted 56 citations. His more recent work extends these control methodologies to underwater tracked robots and predefined-time event-triggered systems, reflecting a commitment to addressing emerging challenges in autonomous systems. With a cumulative citation count exceeding 260 across his most impactful publications, Li's research is increasingly influential among engineers and scientists working at the intersection of intelligent control, multi-agent systems, and robotic autonomy.
Research Focus
Key Achievements
Top Papers
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