Gloves Controlled Robotic Arm using Arduino Uno

In recent years, wearable technology has developed, as have low-cost embedded systems that allow for the building of intuitive and accessible platforms for robot control. This paper presents a system in which a hand gesture-controlled Robotic arm made up of Arduino Uno is designed which can move in four directions. The primary component is a wearable glove, which includes resistive flex sensors that monitor the finger movements of the user. These movements are translated into electrical signals with different voltages as you make different hand gestures. The HC-05 Bluetooth module transmits these signals wirelessly to the Robotic arm where the servo motors immediately react to make the movements happen. It also includes a haptic feedback component for better user-system interaction. This system can replicate the effect of touch, enabling more precise control and better immersive Ness in applications. The system uses hand movements to control the Robotic arm remotely in fields such as healthcare and industry. The methodology is presented, detailing how hardware was integrated, gestures were mapped to the arm, and real-time testing was performed to validate performance. We conducted multiple rounds of testing to assess the robot's responsiveness, the accuracy of the gestures, motor synchronization, and finally to learn the feedback mechanism. By effectively mimicking the finger movements it was able to overcome latency issues. In the future, the system could further be enhanced with the incorporation of AI-based models for gesture prediction. This would allow the Robotic arm to predict movements and gesture recognition which would make the system even more responsive. This development represents the first step towards the delivery of low-cost and customizable robotic interfaces to enhance human–robot interaction. In particular, we envisage applications in rehabilitative robotics, prostheses, and teleoperated systems focusing on robustness, cost, and userfriendliness.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-06
DOI
https://doi.org/10.22214/ijraset.2025.70247
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Gloves Controlled Robotic Arm using Arduino Uno

Anurag Tiwari
International Journal for Research in Applied Science and Engineering Technology
IoT-based Smart Home Systems
article

Gloves Controlled Robotic Arm using Arduino Uno

Anurag Tiwari
article en

Abstract

In recent years, wearable technology has developed, as have low-cost embedded systems that allow for the building of intuitive and accessible platforms for robot control. This paper presents a system in which a hand gesture-controlled Robotic arm made up of Arduino Uno is designed which can move in four directions. The primary component is a wearable glove, which includes resistive flex sensors that monitor the finger movements of the user. These movements are translated into electrical signals with different voltages as you make different hand gestures. The HC-05 Bluetooth module transmits these signals wirelessly to the Robotic arm where the servo motors immediately react to make the movements happen. It also includes a haptic feedback component for better user-system interaction. This system can replicate the effect of touch, enabling more precise control and better immersive Ness in applications. The system uses hand movements to control the Robotic arm remotely in fields such as healthcare and industry. The methodology is presented, detailing how hardware was integrated, gestures were mapped to the arm, and real-time testing was performed to validate performance. We conducted multiple rounds of testing to assess the robot's responsiveness, the accuracy of the gestures, motor synchronization, and finally to learn the feedback mechanism. By effectively mimicking the finger movements it was able to overcome latency issues. In the future, the system could further be enhanced with the incorporation of AI-based models for gesture prediction. This would allow the Robotic arm to predict movements and gesture recognition which would make the system even more responsive. This development represents the first step towards the delivery of low-cost and customizable robotic interfaces to enhance human–robot interaction. In particular, we envisage applications in rehabilitative robotics, prostheses, and teleoperated systems focusing on robustness, cost, and userfriendliness.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Jaypee Institute of Information Technology (IN), Noida International University (IN)
Openalex Percentile: Top 92%
IoT-based Smart Home Systems
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