Kamal Shanmugaraja

Contributed to a project on non-planar additive manufacturing using a 6-axis KUKA robot controlled via Beckhoff PLC. Used Python for data processing and toolpath refinement. Developed a path densification algorithm that interpolates G1 segments based on Euclidean distance. Implemented a modal-aware Z-axis compensation method that reads surface topography from CSV and applies offset corrections to G-code for accurate printing on curved surfaces.

Implemented a USB HID host interface on STM32F429 for real-time keyboard input. Designed a custom full-duplex USB CDC protocol for PC-to-STM32 communication, integrating with Python-based host software and display drivers for real-time control. Built a complete Tetris game demo with wall-kick logic and dynamic speed. Migrated legacy STM32CubeIDE projects, correcting clock/timer configs to ensure performance and compatibility.

Selected for the Samsung PRISM program; annotated a dataset of 10,000+ screenshots across 26 classes for the '(Vision) Icon Detection Dataset Creation' project. Led development environment setup and implemented YOLOv5, YOLOv8, and Faster R-CNN models to enhance icon recognition accuracy. Awarded "Certificate of Excellence" by Samsung R&D for high-quality contributions and innovative model implementation.