Designing intelligent physical systems that operate in the real world and meaningfully interact with us.
I am a computational robotics researcher focused on designing autonomous systems that function reliably in complex, real world environments. My work ranges from disaster response software for rescue operations to sensor refinement tools for autonomous vehicles, integrating robotics, signal processing, and embedded systems. I approach engineering as both a technical and social discipline while building systems that are multidisciplinary human centered solutions.
Autonomous vehicle sensor refinement system using Kalman filtering and signal-to-noise ratio analysis. Developed to remove static or low-quality data segments from ROS bag files, improving downstream modeling and state estimation reliability.
Disaster response support system designed to assist emergency teams with real-time coordination and data analysis. Secured First Place in the National Science Foundation AACIC Competition.
Community-led engineering and fundraising initiative supporting the development of a million-dollar public skatepark in Houston. Contributed to design advocacy, youth engagement, and city coordination efforts.
My work sits at the intersection of sensor fusion, autonomy reliability, and human–robot interaction. I am particularly interested in robust perception systems operating in uncertain environments.
Raspberry Pi-based AI voice assistant exploring memory architecture and human-machine interaction.
Tech Stack: Python, Raspberry Pi, OpenAI API, Audio I/O, Embedded Systems
Demo Video Coming Soon
Four-legged robotic platform rebuilt and customized from open-source schematics.
Tech Stack: Arduino, C++, Servo Motor Control, Embedded Systems, 3D Printing (PLA Components), Mechanical Assembly
Demo Video Coming Soon
Interactive embedded robotics project exploring playful physical computing.
Tech Stack: Arduino, C++, Sensors, Embedded Control Systems
Demo Video Coming SoonEmail: kaitlin.asch@gmail.com
GitHub: github.com/kaitlin-a
LinkedIn: linkedin.com/in/kaitlin-asch