Robotics Engineering is the technology with a great economical and societal impact in 21st century.
Specifically, we believe robotics engineering can contribute toward many existing medical systems, such as surgery, image processing, care-robots, and healthcare monitoring. Of course, robotics can transform the manufacturing cycles and AI assisted smart systems.
The people in DGIST Robotics Engineering consists of many different majors, such as mechanical, electrical, biomedical engineering as well as materials and computer science. In addition, we restlessly seek for interactive collaboration with world-leading institutes and companies. Most importantly, a harmonic convergence in research and education is our top priority.
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Education
DGIST Robotics Engineering vision the true value of motivation oriented learning. To support our goal, we offer a large number of multidisciplinary courses as well as opportunities to study overseas.

Our courses include surgical robotics, rehabilitation, biomedical engineering, mechatronics, and machine learning to name a few.
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Mission
As we face 4th industrial revolution, we vision “Human-centered Robots” by pursuing field leading research and educating highly motivative and collaborative students.
Research Areas
To accomplish our mission, we focus on three main areas with strong emphasis in Bio, Information, and micro/nano tehcnologies.
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Robotic Systems
We study dynamics and control of medical and emerging robots. Specifically, we focus on surgical/rehabilitation robots, sensors and actuators, robot dynamics, and machine vision. Our main goal is to improve the quality of living.
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Biomedical Devices
With strong emphasis in biomedical and micro/nano engineering, we are developing various types of devices. We are running a research center focused on Microrobotics that can travel inside human body to deliver drug and treat blood vessel diseases. Other research interests are neural interfaces, wearable healthcare devices, and MEMS/NEMS.
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AI & Image Processing
We are developing a state-of-the-art medical imaging techniques, vision systems, machine learning, and big data systems. Our main goal is to enable a next generation perception systems that can be implemented in robots as well as image processing algorithms for rapid and accurate diseases and brain abnormalities.