Year: 2025
Type: article
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.
Author: Akash Tiwari
Institution: Noida Institute of Engineering and Technology
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410122828