Summary
Daeun Song is an Assistant Professor and robotics researcher with a decade of experience specializing in robot path and motion planning, human-robot interaction, and machine learning. She completed a PhD in Computer Science (Robotics) at Ewha Womans University and progressed through postdoctoral roles at University of Maryland and George Mason University working on robot navigation under leading labs. Her work spans high-DoF manipulator control, artistic robotic pen drawing systems, and multi-contact planning for legged robots, with publications in ICRA and IEEE RA-L demonstrating practical optimization approaches like L1-norm minimization for contact planning. Daeun blends theoretical rigor with hands-on system development, having implemented robot navigation and drawing projects from research prototypes to validated experiments. Based in Seoul, she brings international collaboration experience from internships at LAAS-CNRS and funded fellowships, often bridging graphics, control, and robotic autonomy. Colleagues note her ability to translate complex motion-planning research into tangible robotic behaviors and novel human-robot interactions.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Robotics, Doctor of Philosophy - PhD, Computer Science, Robotics at Ewha Womans University 이화여자대학교
Korean, English