DEVELOPMENT OF A HAND MOTION-CONTROLLED 360° ROTATING PICK AND PLACE ROBOT

The development of a pick-and-place robotic arm with 360-degree rotation, operated using hand gestures, is presented. Robotic arms are essential in industrial automation due to their ability to improve precision, efficiency, and safety, particularly in hazardous environments. This system uses an Arduino Mega 2560 microcontroller to control the robotic arm and implements basic kinematic logic to achieve accurate positioning. Dc motors are used for the actuation of various joints and movements, offering precise control over angular displacement, which is essential for the pick-and-place task. Gesture control is implemented using sensors, allowing users to control the robot intuitively and without the need for traditional programming. The robot is suitable for applications such as sorting, basic assembly, material handling, and assistive technologies. Its gesture-based control enhances accessibility and ease of use, reducing operator effort and improving safety. This project demonstrates a practical and low- cost automation solution with future potential for enhancement using AI-based gesture recognition and advanced motion control systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-15
DOI
https://doi.org/10.5281/zenodo.16881484
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

DEVELOPMENT OF A HAND MOTION-CONTROLLED 360° ROTATING PICK AND PLACE ROBOT

Zenodo (CERN European Organization for Nuclear Research)
Hand Gesture Recognition Systems
article

DEVELOPMENT OF A HAND MOTION-CONTROLLED 360° ROTATING PICK AND PLACE ROBOT

article en

Abstract

The development of a pick-and-place robotic arm with 360-degree rotation, operated using hand gestures, is presented. Robotic arms are essential in industrial automation due to their ability to improve precision, efficiency, and safety, particularly in hazardous environments. This system uses an Arduino Mega 2560 microcontroller to control the robotic arm and implements basic kinematic logic to achieve accurate positioning. Dc motors are used for the actuation of various joints and movements, offering precise control over angular displacement, which is essential for the pick-and-place task. Gesture control is implemented using sensors, allowing users to control the robot intuitively and without the need for traditional programming. The robot is suitable for applications such as sorting, basic assembly, material handling, and assistive technologies. Its gesture-based control enhances accessibility and ease of use, reducing operator effort and improving safety. This project demonstrates a practical and low- cost automation solution with future potential for enhancement using AI-based gesture recognition and advanced motion control systems.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
Hand Gesture Recognition Systems
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