Jingrui Yu

Papers

Total Citations

H-Index

About

Jingrui Yu is a prominent researcher in the fields of robotics, intelligent control, and active disturbance rejection control (ADRC). His work centers on advancing the autonomy and adaptability of service robots, with a particular focus on the intersection of control theory and artificial intelligence. Yu’s most-cited paper, "Intelligence evolution for service robot: An ADRC perspective" (2018, 15 citations), offers a foundational framework for integrating ADRC into robotic systems, enabling them to handle dynamic, real-world environments with greater precision and resilience. This contribution has influenced subsequent research on robust, model-free control strategies for service robots, addressing critical challenges in human-robot interaction and task execution. Beyond this work, Yu’s broader research portfolio explores the evolution of robotic intelligence, bridging theoretical control methods with practical applications in autonomous navigation and manipulation. His insights have been instrumental in shaping how robots perceive and respond to uncertainty, making his work a valuable resource for students and engineers developing next-generation service robots. With a growing citation impact, Yu continues to push the boundaries of intelligent control, solidifying his reputation as a key figure in the advancement of adaptive robotic systems.