Papers
6
Total Citations
171
H-Index
5
About
Dr. Jingwen Tian is a pioneering researcher whose work bridges the frontiers of intelligent robotics and self-powered sensing systems. Her research primarily focuses on mobile robot path planning, intelligent control systems, and innovative sensor technologies. Dr. Tian’s most impactful contribution is the development of a self-powered sensor based on bionic antennae arrays and triboelectric nanogenerators (TENG), inspired by cockroach antennae, which enables noncontact motion identification—a breakthrough with 52 citations. She has also made significant advances in mobile robotics, introducing novel path planning algorithms that integrate chaos genetic algorithms, support vector machines, and improved simulated annealing neural networks to solve complex navigation and collision avoidance challenges. Her work on chaos genetic algorithms for global path planning (44 citations) and dynamic collision avoidance using multi-sensor data fusion (30 citations) has been widely recognized. Additionally, Dr. Tian has contributed to intelligent control systems for pipeline welding robots, combining radial basis function networks with expert systems. With over 170 total citations across her most-cited works, Dr. Tian’s research demonstrates a unique ability to merge bio-inspired design with computational intelligence, offering practical solutions for autonomous systems and smart sensing technologies.
Research Focus
Key Achievements
Top Papers
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- 2Path Planning for Mobile Robot Based on Chaos Genetic Algorithm44 citations · 2008
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