Development and Optimization of a Cost-Effective Lightweight Humanoid Robotic Arm for Assistive Applications | ||
| Engineering Research Journal | ||
| Article 2, Volume 183, Issue 3, September 2024, Pages 18-35 PDF (771.13 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/erj.2024.304971.1076 | ||
| Authors | ||
| Mustafa Mahmoud Elsayed* 1; Mahmoud Elsamanty2; Mohamed Selmy3 | ||
| 1Mechanical Engineering Department, Faculty of Engineering at Shoubra, Banha University | ||
| 2Mechatronics and Robotics Department, School of Innovative Design Engineering, Egypt-Japan University of Science and Technology | ||
| 3Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University | ||
| Abstract | ||
| This paper presents the development of a cost-effective, lightweight humanoid robotic arm designed to assist the elderly and vulnerable populations. The study aims to provide specialized robotic arms by utilizing a motion planning method based on human arm biomechanics. The arm, created using 3D printing technology with 40% infill, achieves a weight reduction of over 60%. Low-torque servos and a human-like adaptable gripper further enhance cost efficiency and functionality. The arm features simplified joints and is driven by six modified R/C servomotors with analog feedback for precise angle measurement. System identification shows high accuracy, with joint fit percentages ranging from 87.5% to 97.07%. A PID controller, optimized via genetic algorithm (GA), particle swarm optimization (PSO), and honey badger algorithm (HBA), ensures rapid and accurate positioning. The Simscape library models the arm dynamic behavior, addressing forward and inverse kinematics, workspace, and path planning. These innovations promise to advance assistive technologies significantly. | ||
| Keywords | ||
| Robotics Arm; Humanoid Robotic; Motion Planning; System Identification; PID control | ||
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