Research areas
Realistic Virtual Tactile Feedback
Our goal is to generate realistic virtual tactile signals by analyzing and quantifying tactile characteristic information collected from everyday materials. To achieve this, we precisely acquire tactile signals using self-developed high-performance tactile sensors, and through analysis and processing of the collected signals, generate virtual tactile signals that reflect human tactile perception.
In addition, based on these signals, we develop vibration- and electrical-based tactile actuators and design signal generation and driving methods capable of delivering sensations similar to physical stimuli. Through this, we aim to enable the reproduction of tactile information obtained from real materials in virtual environments and to realize hyper-realistic tactile experiences in virtual spaces.
Team members: Keungyonh Bak, Kiun Kim, Chanik Kim, Woojin Son, Chanuk Kim
Tactile Intelligence for Robot
We aim to enable robots to understand and interact with the physical world through touch.
By analyzing tactile signals generated during contact with real-world objects, we study how robots can perceive interaction states and object responses that are difficult to capture with vision alone.
Based on this understanding, we develop tactile intelligence models and robotic systems for grasping, manipulation, and control. By integrating these technologies, we aim to improve the reliability and dexterity of robots in real-world environments.
Team members: Kiun Kim, Hyein Kim, Sehyun Bae, Seungbae Park, Hyunsol Choi, Eunjun Bae