My research interest lies at the intersection of machine learning, data science, and robotics. Specifically, I am interested in data-driven robotics based on various sensing modalities, such as computer vision, force/torque sensors, and tactile sensors, to enhance the perception, motion planning, and control of robots, and to increase the dexterity of robotic manipulation for safe and interactive autonomy.
I recently graduated from the Ph.D. program in the Department of Mechanical Engineering (Minor: Statistics and Data Science) at the Massachusetts Institute of Technology (MIT). I was advised by Prof. Harry H. Asada at the d’Arbeloff Laboratory. (Doctoral Thesis Committee: Prof. Harry H. Asada, Prof. John Leonard, and Prof. Themistoklis Sapsis)
Prior to joining the d’Arbeloff Laboratory, I worked at the Paul G. Allen School of Computer Science & Engineering at the University of Washington (UW) and the Robotics Institute at Carnegie Mellon University (CMU) as a research scientist with Prof. Siddhartha S. Srinivasa (Personal Robotics Lab). I have also worked as a robotics software intern at Fetch Robotics. I received B.S. in Mechanical Engineering (Double major: Electrical Engineering) and M.S. in Aerospace Engineering from the Korea Advanced Institute of Science and Technology (KAIST). For my master's program, I was advised by Prof. David H. Shim. (Master’s Thesis Committee: Prof. David H. Shim, Prof. Han-Lim Choi, and Prof. Jinwhan Kim)
Please feel free to connect with me via likemountain.song@gmail.com or Linkedin.