Tingting Meng

University of Electronic Science and Technology of China, University of Science and Technology Beijing

Papers

Total Citations

186

H-Index

About

Tingting Meng is a leading researcher in robotics and control systems, with a primary focus on iterative learning control and bio-inspired robotic design. Her work addresses critical challenges in robotic manipulation and aerial robotics, particularly in systems with input constraints and limited payload capacity. Meng’s highly cited 2017 paper on iterative learning control of a robotic arm with input constraint (133 citations) introduced novel approaches using hyperbolic tangent and saturation functions to manage vibration and trajectory tracking, establishing a foundation for robust control in constrained environments. Her more recent 2022 work on a long-endurance flapping-wing robot (53 citations) represents a significant breakthrough in bio-inspired robotics. By optimizing mass distribution and energy consumption, Meng designed an eagle-inspired robot that overcomes the traditional limitations of small-wingspan flapping-wing robots, achieving enhanced payload capacity and extended flight endurance. This work has important implications for surveillance, environmental monitoring, and search-and-rescue operations. Meng’s research bridges theoretical control methods with practical robotic applications, demonstrating how rigorous mathematical frameworks can solve real-world engineering constraints. Her contributions continue to influence both the control theory and robotics communities, inspiring new approaches to autonomous systems design.