Hand Gesture Control Wireless Bluetooth Robotic Arm With wheels
Abhinaw Kumar Singh
Scholar, Department of Electrical Engineering , KIPM College of Engineering and Technology, U.P., India
Ajyant Prakash Singh
Scholar, Department of Electrical Engineering, KIPM College of Engineering and Technology, U.P., India
Abhay Pratap Singh
Scholar, Department of Electrical Engineering, KIPM College of Engineering and Technology, U.P., India
Akash Chaurasiya
Scholar, Department of Electrical Engineering, KIPM College of Engineering and Technology, U.P., India
Manob Hazarika
Assistant Professor, Department of Electrical Engineering, KIPM College of Engineering and Technology, U.P., India
📌 DOI: https://doi.org/10.63920/tjths.52023
🔑 Keywords: Robotic, Hand Gesture Control, Artificial Intelligence, Face Recognition, Deep Learning
📅 Publication Date: 21 April 2026
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This work is licensed under a Creative Commons Attribution 4.0 International License
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Abstract:
This paper presents the design and development of a hand gesture controlled wireless robotic arm integrated with a mobile wheeled platform using Bluetooth communication. The system is designed to provide an intuitive and user-friendly method for controlling robotic movements by translating human hand gestures into corresponding mechanical actions. Hand gestures are captured using sensor-based input devices mounted on a glove, and the sensed data is processed by a microcontroller to generate control commands. These commands are transmitted wirelessly to the robotic unit through a Bluetooth module, enabling real-time operation without physical connections. The robotic system consists of a multi-degree-of-freedom robotic arm mounted on a wheeled base, allowing both object manipulation and mobility. The arm is driven by servo motors to perform actions such as gripping, lifting, and placing objects, while DC motors are used to control the movement of the wheels. The control logic ensures smooth and accurate response to user gestures with minimal delay. Experimental testing demonstrates reliable gesture recognition, stable wireless communication, and satisfactory system response time, making the system suitable for small-scale industrial automation, assistive robotics, and educational applications. The proposed system reduces the complexity of traditional control methods and improves human–robot interaction by providing natural and efficient control. Its low cost, ease of implementation, and flexible design make it a practical solution for applications requiring remote and contactless robotic control
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📖 How to Cite
Abhinaw Kumar S. , Ajyant Prakash S. , Abhay Pratap S., Akash C., and Manob H.(2026). Hand Gesture Control Wireless Bluetooth Robotic Arm With wheels. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52023
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