Development and Evaluation of an Arduino-driven quadruped Walking Robot with Kinematics Optimization

This project focuses on designing, developing, and evaluating a quadruped walking robot powered by Arduino, with an emphasis on optimizing gait patterns and joint kinematics for smooth, stable movement. This project offers robotics enthusiasts, students, and researchers hands-on experience in robotic motion, control algorithms, and mechanical optimization, making it ideal for anyone interested in the principles of locomotion in multi-legged robots.
Project Overview and Goals:
Develop a four-legged robot using Arduino to control its movement and achieve stable walking and turning motions.
Experiment with various gait patterns (e.g., crawl, trot, and wave gaits) to optimize stability, speed, and energy efficiency.
Fine-tune joint kinematics to improve the range of motion and balance, achieving a fluid, natural movement that adapts to different terrains.
Key Components and Technologies:
Arduino Microcontroller: Serves as the control centre, executing movement commands and managing motor coordination.
Servo Motors: Act as the robot's "joints," providing precise control over limb movement to create diverse gait patterns.
Kinematic Algorithms: Custom algorithms handle inverse kinematics for each leg, optimizing joint angles and timing to achieve a stable gait.
Sensors (optional): Integrate sensors, such as accelerometers or gyroscopes, to enhance balance and terrain adaptability.
Learning Outcomes:
Gain an understanding of kinematic modelling, an essential skill for developing walking robots and other advanced robotics applications.
Learn how to program and control servo motors in coordination with complex algorithms for realistic limb movement.
Experiment with various gait optimization techniques to improve energy efficiency, speed, and stability on different surfaces.
By the end of this project, you’ll have a functional quadruped robot capable of adaptive, stable walking. This project combines mechanical design with advanced programming and algorithm development, making it a perfect hands-on learning experience for aspiring roboticists!