Aaron Kim Email & Phone Number

- Collaborate with Ph.D. students to design advanced robotic systems capable of playing Jenga.- Design and manufacture three-fingered robotic hands with unique 5-bar linkage mechanisms and embedded force-torque sensors in fingernails.- Utilizing Reinforcement Learning and NVIDIA’s Isaac Sim to optimize robotic fingernail usage for tasks such as picking up coins and stacking them into towers.

- Specialized in mechanical design using SolidWorks and Onshape for the Draco 3 humanoid robot.- Eliminated motor velocity inaccuracies by revising magnetic encoder mounts via SLA 3D printing.- Designed robust mounts for force-torque sensors, ensuring they withstand the robot's weight through rigorous FEA analysis.

- Developed control and navigation systems using ROS for an omnidirectional robot for hospital deployment.- Improved ride smoothness by implementing low-pass filters for input control and wheel velocity management.- Transitioned from teleoperation to autonomous navigation using LiDAR and SLAM technologies.

Tokyo, Japan

- Led the Plato Hand V1 re-design to meet Sony's specifications for increased finger torque and optimized electrical systems.- Amplified motor torque from 0.03 Nm to 0.9 Nm by implementing a 30:1 harmonic gearbox, meeting torque requirements for manipulating a Jenga block.- Enhanced system reliability and maintenance efficiency by redesigning electrical systems, including PCB mounts and board integration.

Austin, Texas, United States

- Designed an autonomous tester for pharmaceutical testing using Python and SOLIDWORKS to detect Dynamic Mechanical Allodynia (DMA) in mice.- Engineered parts optimized for manufacturing (DFM) with potential for commercialization and patenting.

Austin, Texas, United States

- Developed an autonomous fluid mixer using Arduino and 3D printing, enhancing precision in mixing and dispensing heat exchanger fluid.- Conducted comprehensive cost analysis and improved over 200 response protocols, resulting in over $2 million in annual savings.- Reduced tool downtime and increased wafer output significantly.

Austin, Texas, United States

- Collaborated with a team of five to research and develop an improved video game rehabilitation device for children with traumatic brain injuries.- Increased engagement levels by integrating interactive visual and motor components, such as an interactive switchboard and swappable switch covers.- Reduced the cost of rehabilitation devices by over 85% compared to competitors, making therapy more accessible.

Master Of Science - Ms, Mechanical Engineering

Bachelor'S Degree, Mechanical Engineering

High School Diploma, Engineering

Activities and Societies: FIRST Robotics Competition FIRST Tech Challenge Junior Engineer & Technical Society SkillsUSA Marching Band