Research

material systems designed for manufacturing

Materials with unprecedented capabilities not only enhance state-of-the-art technology, but open new fields of research and applications with boundless potential. Manufacturing such materials in a scalable fashion is essential to impart a widespread impact, however, it is often a challenging task.
An interdisciplinary mélange of engineering mechanics, materials behavior, and machine design is required.
Research Overview 
1. Programmable Material Systems for Robotic Applications
Incorporating functional fillers into polymer-matrix systems can program additional functionalities such as self-healing, passive damping, and reconfiguration. Programmable materials are expected to unlock capabilities of existing robotic systems.
2. Scalable Manufacturing of Robotic systems
Robotic materials can facillitate manufacturing of traditional robots by truncating assembly lines and/or modular components. Simplified manufacturing line will enable to erect scalable processes to mass-produce robotic systems.
3. Machine Learning-Assisted Manufacturing
Robotic Materials are consisting of multiple disimilar materials and their behavior can be predicted using existing references.  Vice versa, such existing references from materials research can suggest novel material system by machince learning.
Wearable devices, which can seamlessly integrate into everyday activities and provide external assistance, can mitigate the failure of biological components by protecting them from injury or promoting rehabilitation.