Robotic Arm Kinematics Simulation Using MATLAB

This project implements kinematics simulation for robotic arm systems using MATLAB's simulation environment, leveraging the kinematic properties of robotic manipulators. During the simulation process, we integrated key kinematic characteristics including joint angles, end-effector positions, and orientation parameters. The implementation utilizes MATLAB's Robotics System Toolbox for forward and inverse kinematics calculations, where Denavit-Hartenberg (DH) parameters are employed to define the robotic arm's kinematic chain. Additionally, we incorporated dynamic properties such as mass distribution, inertia matrices, friction coefficients, and joint actuator specifications. The simulation code features torque calculation algorithms based on Lagrange-Euler or Newton-Euler formulations to accurately model dynamic behavior. This comprehensive approach ensures highly accurate and reliable simulation results, providing deep insights into both kinematic and dynamic properties of robotic arms. The modular code structure allows parameter adjustments through configuration files and supports various control input methods including PID controllers, trajectory planning algorithms, and real-time control interfaces. This flexibility enables performance optimization of robotic arm systems, facilitating more efficient operations and precise control through customizable simulation scenarios.