• Pratiksha Vijay Potghan
• Malhar Bhosale
• Manthan More
• Onkar Chapekar
• Prof. Digamber Shelke

This project presents the development of an intelligent robotic arm system capable of performing pick-and-place operations through hand gesture recognition. The gesture-controlled robotic arm offers significant benefits, including increased productivity, safety, and accessibility, with the potential to transform workflows across various industries. The arm executes pick and-drop actions based on the user's gestures, ensuring precise and efficient object handling. The project demonstrates how human robot interaction can be improved using smart, gesture-based control mechanisms, making robotics more accessible, intuitive, and user-friendly. The robotic arm is powered by servo motors and controlled via a microcontroller (e.g., Arduino or Raspberry Pi), which interprets gesture inputs into mechanical motions. These gestures are then mapped to corresponding robotic arm actions like grip, release, and directional movement. This technology has applications in automation, healthcare, and hazardous environments where touchless control is advantageous.

Robotic Arm, Pick and Place, Machine Learning, Gesture Recognition, Arduino, Hand Tracking, Real time Control, Human Machine Interaction.

"Pick and Drop Robotic Arm using Hand Gesture", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.b303-b306, June-2025, Available :http://www.jetir.org/papers/JETIR2506137.pdf

"Pick and Drop Robotic Arm using Hand Gesture", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. ppb303-b306, June-2025, Available at : http://www.jetir.org/papers/JETIR2506137.pdf