PhD student at RPI in the Department of Electrical, Computer, & Systems Engineering
Advisor: Professor A. Agung Julius
Office: Jonsson Engineering Center 6029
Phone: (518) 605-5606
Robotics, Control, Optimization, Computer Vision, Microbiorobot, Model Predictive Control, Particle Swarm Optimization
Summer Intern in SRI International, 2013: Interactive 3D Reconstruction and Modeling From Stereo-Video used for augmented reality project. In this project, I designed the GUI based on C++ for the 3D point click process and the automatic method to build the 3D model based on the feature points.
Awards AND Honors
One of the Five Finalists for the IROS 2013 Best Paper Award, 2013
URAI 2013 Best Application Paper Award, 2013
China National Scholarship, which is a Chinese government award granted for students in the top 3 percent, 2008, 2009
Paul Kim, Aaron Becker,
Yan Ou, A. Agung Julius, Min Jun Kim, Swarm control of cell-based microrobots using a single global magnetic field, Ubiquitous Robots and Ambient Intelligence (URAI), 10th International Conference on, Jeju, Korea, 30 Oct.-2 Nov., 2013.
Yan Ou, Dal Hyung Kim, Paul Kim, Min Jun Kim, A. Agung Julius, Motion control of magnetized , accepted, Tetrahymena pyriformis cells by magnetic field with Model Predictive Control International Journal of Robotics Research, 32 (1) (2013) 130-140.
Yan Ou, Dal Hyung Kim, Paul Kim, Min Jun Kim, A. Agung Julius, Motion Control of , Tetrahymena pyriformis Cells with Artificial Magnetotaxis: Model Predictive Control (MPC) Approach Robotics and Automation (ICRA), 2012 IEEE International Conference on, St. Paul, USA, 14-18 May, 2012, pp. 2492-2497. Quan Wang,
Yan Ou, A. Agung Julius, Kim L. Boyer, Min Jun Kim, Tracking , Tetrahymena Pyriformis Cells using Decision Trees 2012 International Conference on Pattern Recognition, Tsukuba Science City, Japan, 11-15 Nov., 2012. Aaron Becker,
Yan Ou, Paul Kim, Min Jun Kim, Agung Julius, Feedback Control of Many Magnetized
Tetrahymena pyriformis Cells by Exploiting Phase Inhomogeneity, Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on, Tokyo, Japan, 3-8 Nov., 2013.
Yan Ou, Peng Shi, Hongyang Liu, A model-dependent stability criterion for delayed discrete-time stochastic neural networks with Markovian jumping parameters, Neurocomputing, 73 (7-9) (2010) 1491-1500.
Motion control of Microbiorobot to follow initials
Tetrahymena Pyriformis cells VIDEO
Feedback Control of many Magnetized Cells by Exploiting Phase Inhomogeneity
Control two cells simultaneously using the uniform magnetic field by PSO algorithm
Prof. A. Agung Julius
Prof. Min Jun Kim