Papers
7
Total Citations
73
H-Index
4
About
Jyun-Yu Jhang is a robotics and intelligent systems researcher whose work centers on mobile robot navigation, multi-robot coordination, fuzzy control systems, and autonomous vehicle technologies. His most influential contribution, "Navigation Control of Mobile Robots Using an Interval Type-2 Fuzzy Controller Based on Dynamic-group Particle Swarm Optimization" (2018), has garnered 43 citations and established him as a notable voice in intelligent control methodologies, demonstrating how advanced optimization techniques can significantly enhance robot navigation in complex environments. Jhang has consistently pushed the boundaries of multi-robot systems, developing cooperative carrying frameworks that enable robots to seamlessly switch between behavioral modes—such as wall-following and goal-directed navigation—to handle unknown and dynamic environments. His 2020 work on self-clustering algorithms further extended this vision to automated multi-robot deployment scenarios. More recently, Jhang has expanded into unmanned mobile vehicles with heterogeneous sensor integration and computer vision applications, including YOLO-based object detection optimized for robotic arm gripping tasks. His evolving research portfolio reflects a trajectory from foundational fuzzy control theory toward practical, real-world autonomous systems, making his work valuable reading for students and researchers working at the intersection of artificial intelligence and robotics.
Research Focus
Key Achievements
Top Papers
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