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About

Nanyang Technological University (NTU) stands as one of Asia's premier research powerhouses, distinguished by an extraordinary breadth of expertise spanning robotics, artificial intelligence, advanced materials, and human-robot interaction. With a research portfolio that has garnered tens of thousands of citations globally, NTU has established itself as a destination of choice for scholars and innovators seeking to push the boundaries of technology. NTU's contributions to robotics and AI are both foundational and far-reaching. The university's landmark work on continuous finite-time control for robotic manipulators using terminal sliding mode—now cited over 2,600 times—remains a cornerstone reference in motion control theory. Equally influential is the group's pioneering review of extreme learning machines, which helped define the trajectory of efficient neural network research worldwide. In cloud robotics, NTU researchers proposed architectures that redefined how networked robots share computation and knowledge, anticipating the distributed AI ecosystems that dominate today's landscape. Perhaps most distinctively, NTU has cultivated a world-class nexus between soft robotics, smart materials, and wearable electronics. Researchers here have pioneered self-healing hydrogel strain sensors, shape-programmable magnetic soft matter, auxetic metamaterials, and 4D printing technologies—breakthroughs that collectively underpin the next generation of flexible, body-integrated robotic systems. The university's work on functional fibers and fabrics for human-robot interfaces further illustrates a commitment to seamless, safe interaction between humans and machines. NTU also leads in examining the social dimensions of robotics, producing highly cited studies on robot gender, personality, and the uncanny valley that inform responsible design practices globally. Through centers such as the Rehabilitation Research Institute of Singapore and collaborations across NTU's College of Engineering and School of Computer Science and Engineering, prospective students and collaborators will find an environment where materials science, computation, and humanistic inquiry converge to shape the future of intelligent systems.