DGIST Scholar: 송석호

송석호

Song, Sukho

Researcher ID ORCiD Scopus Google Scholar Research Gate

2022 ~ 2024Empa (The Materials and Technology Institution of the Swiss Federal Institute of Technology) / Group Leader
2022 ~ 2022서울대학교 인간중심소프트로봇기술연구센터 / 선임연구원
2020 ~ 2021Ecole Polytechnique Federale de Lausanne (EPFL) Laboratory for Soft Bioelectronic Interfaces (LSBI) / Postdoctoral Researcher
2017 ~ 2020Ecole Polytechnique Federale de Lausanne (EPFL) Reconfigurable Robotics Laboratory (RRL) / Postdoctoral Researcher
2017 ~ 2017Max Planck Institute for Intelligent Systems / Research Assistant

2015 Peebles Award for Graduate Student Research in Adhesion Science / The Adhesion Society, Inc.
2006 Honors Scholarship for Privately Financed International Students / Japan Student Services Organization
2005 The Best Student Award / Japan Society for Aeronautical and Space Sciences (JSASS)
2004 The JSASS Award of The 12th Satellite Design Contest / Japan Space Forum
2001 Korea-Japan Joint Government Scholarship for Undergraduate Students in Science and Engineering / 국제교육진흥원

Adaptable Soft Machines Lab: How can we develop a unified design and manufacturing methodology that allows soft robots to integrate multiple functions across different size scales, just as nature does? At Adapt-Lab, we are pioneering bio-inspired design and fabrication methods that could redefine how soft robots are built. We believe this approach has the potential to revolutionize science, engineering, and technology on a broad scale.As a starting point, we leverage MEMS (Microelectromechanical Systems) fabrication, the engineering framework behind the smallest machines in the world. By adapting MEMS techniques, we aim to develop multiscale and multifunctional soft robots for real-world applications in materials science, robotics, and biomedical devices. We are particularly interested in leveraging micro/nano-scale features in nature to enable novel functionalities in large-scale soft robots. At the same time, we are exploring ways to miniaturize existing soft robotic principles, unlocking new application possibilities that were previously unimaginable.Through this approach, we hope to take a significant step toward realizing the future of truly life-like robots.