Jiyong Min
Papers
1
Total Citations
4
H-Index
1
About
Jiyong Min is a researcher at the forefront of intelligent robotics and smart materials, with a primary focus on sensor fusion and deep learning for autonomous systems. His most impactful work introduces a groundbreaking method for classifying floor materials using a piezoelectric actuator–sensor pair, enabling mobile robots to dynamically adapt their motion and task execution based on surface properties. This innovation, detailed in his 2024 study, has already garnered 4 citations, reflecting its immediate relevance to the robotics community. By integrating deep learning with piezoelectric sensing, Min has addressed a critical gap in robot-environment interaction, enhancing safety and efficiency in indoor navigation. His contributions are particularly notable for their practical application in real-world robotics, where accurate floor material classification can prevent slippage and optimize energy consumption. Min’s work stands as a testament to the power of combining mechanical sensing with artificial intelligence, offering a scalable solution for next-generation autonomous robots. As a rising voice in his field, his research continues to inspire advances in tactile sensing and adaptive control.
Research Focus
Key Achievements
Top Papers
- 1