This project is a comprehensive, end-to-end implementation of a vision-based robotic manipulation system using the OpenManipulator-X and an Intel RealSense RGB-D camera. Designed as a step-by-step learning framework, it progresses from fundamental robot kinematics to a fully autonomous perception-to...

This project implements a vision-based autonomous control system for a mobile robot using both deterministic and neural-network policies. A DepthAI camera provides person detections, which are used to center the target in the image and maintain a desired distance. An Extended Kalman Filter fuses onb...

This project involved the complete design of a custom embedded control board, from schematic capture to PCB layout, integrating power management, actuator and relay drivers, sensing interfaces, and a microcontroller on a single board. The system was designed with multiple regulated rails, fuse-prote...