Toward life-like intelligent robotic agents
We study robotic systems that approach life-like intelligence through tactile perception, embodied dexterity, miniature biomedical robotics, and physical interaction with the real world.
How can machines sense, act, adapt, and integrate with life?
Our research is driven by a central question: how can engineered systems move beyond passive tools and become intelligent agents that perceive the physical world, learn through interaction, and work with living systems?
Three paths toward life-like robotic intelligence
Our research connects tactile perception, embodied dexterity, and miniature biomedical robotics. Each direction is grounded in real robotic systems and supported by representative publications.
Tactile Perception & Artificial Skin
Touch is a primary channel through which living systems understand the world. We develop tactile sensors, artificial skins, soft sensing interfaces, and perception algorithms that allow robots to feel contact, infer physical states, and respond to complex interaction.
Embodied Dexterity & Physical Intelligence
Intelligence is not only computed; it is formed through body, material, motion, and interaction. We study embodied robotic intelligence, bioinspired mechanisms, adaptive locomotion, contact-rich control, and physical systems that respond intelligently to their environments.
Miniature & Biomedical Robotics
At small scales, robots begin to interface directly with living systems. We design miniature, bioinspired, and intelligent robotic systems for biomedical sensing, diagnosis, intervention, and therapy, exploring how machines can work with life rather than only around it.
