Research topic

Micro-nano fabrication of soft sensors and its packaging techniques (including their morphologies) enhance sensor precision and adaptability for various applications. Micro-nano fabrication methods using laser technology enable sensors to achieve higher precision, robustness, and repeatability, which can surpass the usability of existing sensors.

Biomedical devices using soft sensors with high sensitivity, wide working range, and flexibility can be applied to patients to measure bio-signals of various diseases. These bio-signals collected by bio-medical devices can be used to prevent and measure disease severity.

Electrospun Fibrous Membrane can be fabricated with various morphologies and wettability properties via electrospinning and electrospraying processes. These membrane can be applied in various fields such as dust filters and membrane distillation.

Bioinspired structure involves analyzing the special structrues and wettability of plants or animals found in nature, such as lotus leaves, spider and moss, to understand and imitate their mechanisms and structures. These bioinspired structures can be applied in various fields, including AWH (Atmospheric Water Harvesting).

AI-powered sensor systems and bio-signal foundation models extend sensing beyond measurement into interpretation. At the signal level, machine learning delivers precision measurement, robust signal processing, and reliable prediction or classification under real-world noise. At the model level, we build foundation models for bio-electrical signals (EMG, EEG, ECG) trained by self-supervised learning on large-scale unlabeled recordings — a single pretrained backbone that transfers across subjects, sensor placements, and clinical tasks while staying robust to motion artifacts and drift.

Haptic sensors and interfaces reproduce the human sense of touch by capturing pressure, shear, vibration, and texture through multimodal soft sensor arrays. Bio-inspired nanofiber structures provide high-density tactile sensing with mechanical compliance, while integrated feedback lets users feel remote or virtual environments. These systems form the sensory foundation for immersive human-robot interaction, teleoperation, and dexterous manipulation.

Robotic systems built on soft, adaptive mechanisms bridge the gap between rigid automation and the compliance required for real-world manipulation. AML develops variable-stiffness soft grippers, human-mimetic joints, and tactile-integrated end-effectors that grasp irregular and delicate objects safely. Coupled with wearable sensing and learned control policies, these platforms enable intuitive human-robot collaboration in manufacturing, logistics, and assistive applications.

Detailed works