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Robot Arm Control Using Hand Gesture
Robot Arm Control Using Hand Gesture
Rivin Jose Melvin1, Sravya Prem Naik2, Fathima Insha A3, Harith H4, Elda Maria Joy5
1 Student, Dept of CSE, Sree Narayana Gurukulam College of Engineering, Kochi, India
jose.melvin004@gmail.com
2 Student, Dept of CSE, Sree Narayana Gurukulam College of Engineering, Kochi, India
sravyapremnaik2003@gmail.com
3 Student, Dept of CSE, Sree Narayana Gurukulam College of Engineering, Kochi, India
fathimainsha901@gmail.com
4 Student, Dept of CSE, Sree Narayana Gurukulam College of Engineering, Kochi, India
harithhc007@gmail.com
5Assistant Professor, Dept of CSE, Sree Narayana Gurukulam College of Engineering, Kochi, India
mariajoy123.2008@gmail.com
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Abstract - T Robotic arm control has traditionally relied on mechanical input methods such as joysticks or coding commands. However, gesture recognition provides an intuitive alternative, especially in environments where direct control might be challenging. This paper explores the use of Mediapipe for gesture recognition to control robotic arm movements in real-time. By integrating gesture recognition with robotic systems, we can enhance user interaction, making robotic arms more accessible for users without extensive training.
Key Words: Gesture Recognition, Robotic Arm Control, Mediapipe, ROS, MoveIt
