Undergraduate Researcher.
Developing autonomous vehicle research from simulation to Jetson-powered hardware, with a focus on perception, navigation, and mechanical integration.
Responsibilities & contributions
Lead UAV-assisted map recovery research for autonomous ground vehicles, achieving an 80% success rate across 50 MAVS simulation trials before deploying hardware on a Jetson-powered RC car platform using Nav2 and DLIO LiDAR-IMU SLAM.
Engineer a perception-based leader-follower architecture for off-road convoys with minimal vehicle-to-vehicle communication. Use camera-LiDAR fusion and advance from ArUco to machine-learning vehicle detection while maintaining independent local autonomy.
Design mechanical sensor mounts and server heat exhausts for military-grade autonomous vehicles in SolidWorks. Execute embedded hardware integration of Jetson, LiDAR, camera, and IMU on 1/8-scale RC platforms using design-for-manufacturing principles.
Benchmark centralized and decentralized multi-agent navigation using CBS path planning, MAVS, and the NATURE stack.
Technical documentation
Experience documentation will be added here.
Preview a local filePRIVATE PREVIEW
Try an image, PDF, presentation, STL model, or CAD file. Your file stays in this browser. This is a preview only; it is not uploaded or published.
Maximum size: 50 MB. PowerPoint and CAD files open in a compatible app.