Xue‐song Tang
Papers
1
Total Citations
3
H-Index
1
About
Dr. Xue‐song Tang is a leading researcher in the fields of intelligent robotics, human-robot interaction, and adaptive control systems. His most notable contribution is the development of a shared control method for robots based on an adaptive network-based fuzzy inference system (ANFIS), published in 2020. This work addresses critical limitations in teleoperation, such as restricted command sets and low control efficiency, by enabling robots to intelligently interpret and augment human commands for complex task execution. By integrating fuzzy logic with neural network adaptation, Dr. Tang’s approach significantly enhances the precision and autonomy of collaborative robotic systems. His research has garnered attention in the robotics community, with his seminal paper accumulating 3 citations as a foundation for further studies in shared autonomy. Dr. Tang’s work is particularly impactful for applications in remote surgery, hazardous environment exploration, and assistive robotics, where seamless human-robot cooperation is essential. His innovative fusion of adaptive inference systems with control theory positions him as a key contributor to advancing next-generation intelligent robotic platforms.
Research Focus
Key Achievements
Top Papers
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