Research Scope

我们探索软体机器人与其物理形态、感知能力及环境交互之间的深度耦合，即“具身智能”。研究涵盖开发内嵌高灵敏柔性传感器阵列的软体执行器，并利用深度学习模型实现对复杂连续形变的实时感知与闭环控制。通过赋予软体机器人自主环境探索与灵巧操作能力，解决其在医疗介入、精细抓取及受限空间作业中的智能化交互难题。

We explore the deep coupling between soft robots’ physical morphology, sensing capabilities, and environmental interaction, known as "Embodied Intelligence." Our research encompasses the development of soft actuators embedded with high-sensitivity flexible sensor arrays, leveraging deep learning models for real-time perception and closed-loop control of complex continuum deformations. By empowering soft robots with autonomous exploration and dexterous manipulation, we address intelligent interaction challenges in medical intervention, delicate grasping, and confined-space operations.