About

Hello! My name is Jueun Kwon, and I am a second year mechanical engineering / robotics PhD candiate at Northwestern University. I am a member of the Interactive and Emergent Autonomy Lab, advised by Prof. Todd Murphey.

My research interest is in runtime data collection for robot learning. My approach, exploratory like a Rapidly-exploring Random Tree (RRT) algorithm, involves creatively combining technologies and methodologies to develop unique systems that perform more effectively and efficiently. My ultimate goal is to develop intelligent, general-purpose robots that integrate seamlessly into daily life, revolutionizing everyday applications. This ambition is grounded in a multidisciplinary approach that encompasses refining control algorithms, enhancing robustness, and improving perception. My comprehensive experience in various aspects of system development equips me to unify these components into advanced, cohesive robotic systems, thereby translating innovative research and interdisciplinary insights into impactful real-world solutions.

Programs: CAD (Siemens NX, SOLIDWORKS, Fusion 360, AutoCAD), FEA (ANSYS FLUENT), BigQuery, Data Studio, Grafana, KiCad, Adobe Photoshop

Programming Languages/Operating System: ROS1/2, Python (JAX, PyTorch), C++, Git, Java, MATLAB, SQL, R, G-code, Embedded Systems

Machines: 3D printer, laser cutter, mill, lathe, water jet, CNC, and other shop machines/tools

Training: Thermal Vacuum Chamber, Clean Room, Machine Shop (Mill and Lathe), Human Subjects Research (IRB), ERT First Aid