Design and Implementation of Multi-Degree of Freedom Robot Arm
A robotic arm is a programmable mechanical device designed to mimic the movement and functionality of a human arm. It consists of interconnected segments joined by joints, enabling precise and versatile motion, typically controlled by algorithms and software. In this paper, we present a multi-degree-of-freedom robotic arm designed for lightweight, low-cost applications, featuring a modular structure that allows for easy reconfiguration and scalability. The arm was developed using a combination of Multi-Body Simulation (MBS), Finite Element Analysis (FEA), and real-time control integration to optimize its mechanical performance. This work introduces a novel approach that combines geometric inverse kinematics solutions with real-time MATLAB-based control, ensuring high precision and responsiveness across diverse tasks. The robotic arm’s lightweight structure, manufactured using a mix of aluminum, and MDF components, balances structural integrity with cost-effectiveness, making it suitable for educational, research, and light industrial applications. Furthermore, the integrated MATLAB application provides a user-friendly interface for controlling the arm in real-time, with robust waypoint management and error detection capabilities. Our findings demonstrate that the proposed design offers a scalable and adaptable solution for a variety of pick-and-place operations, paving the way for future integration with vision systems and advanced machine learning algorithms to further enhance performance.
Authors
- Amin Danial Asham (ORCID: https://orcid.org/0000-0002-5178-797X)
- Abdelrahman Morsi (ORCID: https://orcid.org/0000-0002-9190-3357)
- Ahmed Sharaf Eldin (ORCID: https://orcid.org/0000-0003-2245-8349)
- Ayman Waleed
- Hisham Mohamed
- David Awad (ORCID: https://orcid.org/0009-0001-2122-7509)
- AbdelRahman Ahmed Baghdady
- Noureldin Ahmed AbdelKader
- Youssef Gokh
Institutions
- Academy of Scientific Research and Technology (EG)
- Egyptian Russian University (EG)
Publication Details
- Journal
- Advanced Sciences and Technology Journal.
- Published
- 2025-08-22
- DOI
- https://doi.org/10.21608/astj.2025.391676.1068
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00