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September 10, 2025Open Access

Design And Development Of A Machine Learning-Based Gesture-Controlled 3D-Printed Robotic Hand Using Computer Vision

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This paper demonstrates a gesture-controlled robotic hand using machine learning and a Kinect sensor, indicating efficient real-time interactions.

The system replicates human actions in real time using gesture recognition, enhancing interaction efficiency.
A Kinect sensor captures user skeletal data, allowing for precise gesture recognition and control of the robotic hand.
The robotic hand is made from PLA, a bio-based plastic, promoting sustainability in design.
Calibration of the system enhances accuracy in recognizing hand states and angles for improved manipulation.

Bhargava et al. (2025) studied this question.

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This paper demonstrates a gesture-controlled robotic hand using machine learning and a Kinect sensor, indicating efficient real-time interactions.