Year: 2025
Type: article
Abstract: The advancement of automation and robotics has led to the development of more intuitive control systems for robotic arms. This paper presents the design and implementation of a joystick-controlled robotic arm for efficient pick-and-place operations. Unlike traditional pre-programmed robotic systems, this approach allows real-time human intervention, making it suitable for industrial, warehouse, and educational applications. The system comprises a joystick interface, microcontroller (Arduino/Raspberry Pi), servo motors, and a gripper mechanism. The joystick provides user input, which is processed by the microcontroller to control the robotic arm’s movements across multiple axes. The system is programmed using C++ and Python, ensuring smooth and precise motor control through PWM signals and PID algorithms. Experimental results demonstrate high accuracy, low response time, and ease of use. The system effectively picks and places objects with minimal error, making it a viable alternative to complex automated systems. Future enhancements include AI-based path optimization, computer vision integration, and wireless control for remote operation. This project bridges the gap between manual and automated control, offering a flexible, user-friendly robotic solution for various industries.
Author: Shruti Vrushabh Kokile
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408544378
