Papers
20
Total Citations
330
H-Index
9
About
Yixin Yin is a researcher whose work spans two interconnected domains: mobile robot path planning and teleoperation control systems. Over a productive career, Yin has made substantial contributions to autonomous navigation, developing and refining a suite of computational intelligence techniques to guide robots through complex environments. His early work applied improved genetic algorithms and potential field methods to mobile robot path planning in both static and dynamic settings, earning over 60 citations each and establishing him as a notable voice in intelligent robotics. He further extended this research through particle swarm optimization, ant colony algorithms, and fuzzy logic approaches, collectively demonstrating a comprehensive command of bio-inspired and heuristic methodologies. In later years, Yin pivoted toward the challenges of bilateral teleoperation, addressing real-world complexities such as communication delays, scheduling constraints, and parameter uncertainties. His adaptive control frameworks for master-slave synchronization—including barrier Lyapunov function approaches for prescribed tracking performance—reflect sophisticated theoretical depth and practical relevance. With a cumulative citation count surpassing 270 across ten key publications, Yin's research has meaningfully advanced both the algorithmic foundations of robot navigation and the control-theoretic underpinnings of remote robotic operation, making his profile valuable reading for students exploring autonomous systems and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1An Improved Genetic Algorithm of Optimum Path Planning for Mobile Robots65 citations · 2006
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- 3Bilateral Teleoperation of Multiple Robots Under Scheduling Communication35 citations · 2019
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- 10Robot Obstacle Avoidance based on an Improved Ant Colony Algorithm9 citations · 2009