This project centers around developing a dynamic tower mechanism controlled by a Raspberry Pi and featuring an IMX519 camera for real-time face and gesture recognition. Using Python and OpenCV, the tower adjusts its position smoothly with servo motors. Future plans include integrating this technology into a robot dog, enabling gesture-based control for enhanced interaction capabilities.

Dive into the world of robot leg simulation with this detailed guide on using the A* algorithm for pathfinding in a 2D space. This post explores the essentials of creating a digital leg simulator. Learn why the A* algorithm, with its efficient pathfinding capabilities, is the perfect choice for navigating around obstacles and finding the shortest route from start to finish.

This project involves creating a functional quadruped robot dog, with a focus on smooth, realistic movement using advanced techniques like inverse kinematics and Bézier curves. Inspired by the natural walking gait of a dog, the robot’s legs move in a synchronized cycle, ensuring fluid, lifelike motion. Dive in to explore the exciting process of building and programming your own robot dog!