Robotic arms play an important role in modern automation, manufacturing, and research. Simulation tools enable cost effective design, testing and validation before physical implementation. The paper presents the design and simulation of a robotic arm using the Webots simulation platform. The study focuses on modelling a multi-degree-of-freedom (DOF) robotic arm, implementing control algorithms, and analyzing its performance in pick-and-place tasks. The simulation integrates kinematic modelling, sensor feedback and actuator control. Results demonstrate that Webots provides a robust environment for prototyping and testing robotic systems with high accuracy and flexibility. The proposed model can be extended for industrial automation and educational training.

Robotic manipulators are fundamental components in modern industrial automation, enabling precise, repeatable, and efficient task execution. Simulation platforms have emerged as essential tools for reducing development cost, improving safety, and accelerating prototyping prior to real-world deployment. This paper presents the design and simulation of a multi-degree-of-freedom (DOF) robotic arm using the Webots simulation environment. The proposed system integrates kinematic modeling, control algorithms, and sensor feedback mechanisms to perform pick-and-place operations. Forward and inverse kinematics are implemented to achieve accurate positioning of the end-effector, while PID-based control ensures smooth joint motion. The results demonstrate that Webots provides a reliable and flexible platform for robotic system development, enabling realistic physics-based simulation and rapid validation of control strategies. The developed model is suitable for industrial automation, robotics education, and research applications, with potential extensions toward intelligent and autonomous robotic systems.

Keywords— Robotic Arm, Webots, Simulation, Kinematics, Automation, Robotics, Pick-and-Place.