Welcome to the TEE Research Group
We are developing new materials, devices and systems for addressing the challenges in human-machine interactions, robotics and biotechnology applications for the AI future.
Adopting a multi-disciplinary approach, we aim to study fundamental physical effects and integrate knowledge from material science, nano-electronics, communications and biology to design and realize frontier devices and system architectures for multi-scale, multi-modal sensing.
Our research team is led by Principal Investigator Associate Professor Benjamin C.K. Tee.
Our latest research is online in Nature Communications
To address physical damage in electroluminescent fibres, we developed a novel materials portfolio and fabrication process to create the first all-layer self-healing alternating current (a.c.) electroluminescent fibre. This fibre combines self-healing capabilities with magnetic responsiveness, allowing omnidirectional actuation and light emission. With excellent brightness, stability and scalability, it marks a breakthrough in integrating high performance and intrinsic multifunctionality in a single fibre, advancing fibre electronics and robotics.
The work was featured in NUS News and Lianhe Zaobao.
Our latest research is online in Nature Electronics
CHARM3D, developed by our group and other collaborators, is able to print free-standing metallic structures without the need for support materials and external pressure. This new technique fabricates 3D electronic circuits faster and with greater level of detail and accuracy.
The work was featured in Nature Electronics and NUS News.
Our latest research is online in Nature Materials
Navigating the complexities of pressure sensing in liquid environments, we have pioneered a sensor that transcends traditional solid-state limitations through a design inspired by the natural elegance of the lotus leaf. This innovation, featuring a sophisticated solid-liquid-liquid-gas interface, harnesses a captured air layer to finely tune capacitance in reaction to pressure variations. Demonstrating unparalleled performance, our sensor emerges as a near-ideal pressure sensing solution for liquid environments and beyond.
The work was featured in Nature Materials Research Briefing and NUS News.
Our latest research in IROS 2021 won the Best Paper Award
In this work, we developed NUSKin and worked with roboticists to enable a robot to embody tool usage like humans, extending their capabilities for unstructured environments and human tools.
The work was also highlighted on NUS Computing News .
Our latest research is online in Nature Materials
In this work, we developed the bright, stretchable and self-healable electroluminescence device that can be wirelessly powered.
The work was also highlighted on Nature Materials‘ News and Views and NUS News.
Our latest research on the cover of Science Robotics
Electronic Skins need a nervous system. In this work, we developed an artificial nervous system we call ACES, that can enable large scale integration of sensors for robotics and prosthetics, enabling greater intelligence and speed.
Our latest research on the cover of Nature Electronics
Self-healing materials are an exciting research area for intelligent materials. In this work, we developed an underwater capable electronic material that can be used in emerging soft robots, stretchable electronics and electronic skins.
See NUS video here.
Our latest research featured by the Wall Street Journal
Our work on artificial skin can enable future robots that aid surgeons in critical tasks during procedures with our ACES sense of touch.
Our group’s E-Skin research featured on Channel News Asia Wizards of Tech Documentary
Our group’s E-Skin research featured on Channel News Asia
Our group’s E-Skin research featured on BBC World News
Material NanoScience
Tuning materials via nano/micro-engineering and developing new self-healing properties
Scalable Electronic Skins
Engineering sensitive electronics with tactile perception on a massive scale
Integrated Large-scale Sensing Systems
Large-scale integration of advanced materials for artificial sensory systems