Yulian Jiang

Changchun University of Technology, Southwest Minzu University

Papers

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About

Yulian Jiang is a rising researcher in the field of intelligent robotic control and multi-agent systems, with a focus on adaptive and optimal control strategies for complex robotic platforms. Her work addresses critical challenges in the coordination and autonomy of robotic manipulators and bio-inspired robots, particularly under constraints and uncertainties. Jiang’s major contributions include the development of a fixed-time self-triggered fuzzy adaptive control framework for N-link robotic manipulators, which enhances efficiency and robustness in real-time operations. She has also proposed a singularity-free finite-time adaptive optimal control method for coordinated robots operating under asymmetric, time-varying position and velocity constraints, advancing the feasibility of safe and precise multi-robot cooperation. In earlier work, Jiang pioneered a path planning method for multiple robotic fish using a multi-objective cooperative co-evolution algorithm, incorporating heuristic initialization based on yaw angles to improve movement realism. Her most-cited papers have accumulated over 15 citations, reflecting growing interest in her innovative approaches. Jiang’s research is particularly notable for addressing practical implementation issues such as singularity avoidance and constraint satisfaction, making her a promising contributor to the next generation of adaptive and cooperative robotic systems.