Jisung Pack
Papers
1
Total Citations
4
H-Index
1
About
Jisung Pack is a pioneering researcher in mobile robotics and intelligent sensing, whose work bridges the gap between tactile perception and autonomous navigation. His primary research areas include sensor-based material classification, piezoelectric actuator-sensor systems, and deep learning applications for robotic environmental understanding. Pack’s most notable contribution is his development of a novel method for classifying floor materials using a piezoelectric actuator-sensor pair combined with deep learning, a breakthrough that enables mobile robots to dynamically adapt their motion and task execution based on floor properties. This work, published in 2024 and already garnering 4 citations, addresses a critical challenge in indoor robotics by allowing robots to distinguish between surfaces such as carpet, tile, and wood through vibration-based signatures. By integrating low-cost piezoelectric sensors with convolutional neural networks, Pack has created a robust, real-time classification system that enhances robot stability and energy efficiency. His research has significant implications for service robots, autonomous vacuum cleaners, and assistive mobility devices. Pack’s innovative approach to fusing hardware sensing with AI demonstrates his commitment to practical, deployable solutions that advance the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1