EventsThe 3rd International Electronic Conference on Machines and Applications
Published
This submission belongs to the session S1. Automation and Control Systems of the event The 3rd International Electronic Conference on Machines and Applications
Published date
07 May, 2026
Academic Editor
author-avatarJames Lam
Citation
Said Kafumbe, Ravichandran Danthakani, Emad Abd-Elrady, Design of a robotic hand gripper for pick-and-place operations, in Proceedings of The 3rd International Electronic Conference on Machines and Applications, 12 May–14 May 2026, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

Design of a robotic hand gripper for pick-and-place operations

1. Engineering Technology & Science, Higher Colleges of Technology, Abu Dhabi, 971, United Arab Emirates, United Arab Emirates
Abstract

The increasing demand for automation in the industry necessitates innovative solutions for efficient material handling. This work introduces the design of a robotic hand gripper for pick-and-place operations.

The design employed a multi-fingered design that integrates compliance with precision actuation mechanisms to enhance object manipulation capabilities. The gripper’s structure utilizes lightweight yet durable materials, optimizing performance while minimizing energy consumption. The methodology includes computer aided design modeling and simulation to analyze the gripper's mechanics, followed by the fabrication of a prototype using 3D printing mechanisms. Incorporated as well force sensors and adaptive control algorithms to ensure real-time feedback and adjust grip strength according to various object characteristics.

Experimental results demonstrated that the robotic gripper can successfully handle objects weighing up to 5 kg with a gripping precision of ±2 mm. The adaptability of the gripper allows it to securely grasp items ranging from cylindrical bottles to irregularly shaped containers, showcasing its versatility in diverse operational scenarios.

In conclusion, the proposed robotic hand gripper significantly enhances the efficiency and reliability of pick-and-place tasks in automated workflows. Future work will focus on refining the control algorithms and expanding the gripper’s capabilities to include more complex tasks, paving the way for its application in a wide range of industrial contexts.

Keywords
Gripper
Robotic
Manipulators
Dobot
Poster
ProGas-Mine System: Proactive Gas Hazard Monitoring in Underground Mining Using Low-Power Long-Range Wireless Sensors
Neuro-Adaptive Machines: An Edge-Intelligent Framework for Real-Time Condition Monitoring and Self-Optimizing Control