• Swarnab Talukdar
• Madhumita Halder
• Sneha Mukherjee
• Satyaki Kumar Biswas

This project focuses on the design and implementation of a hand gesture recognition-based robot using Arduino, providing a seamless and intuitive human-machine interaction interface. The system employs an accelerometer sensor embedded in a wearable glove to accurately capture hand movements across multiple axes. Each gesture is mapped to a specific robot command, which is then wirelessly transmitted to the robotic vehicle via RF or Bluetooth communication modules. The Arduino microcontroller receives these signals, processes the data, and controls the robot’s movements in real time, ensuring immediate responsiveness to user commands. By removing the need for physical controllers, this approach offers a natural, contactless, and efficient method of controlling robotic systems. The design is highly versatile, suitable for applications ranging from assistive devices for differently-able individuals to operations in hazardous environments and smart automation tasks. Its cost-effectiveness, simplicity, and reliable performance make it a practical solution for advancing gesture-based robotic control technologies.

Gesture controlled robot, Hand gesture recognition, Gesture interface, Microcontroller-based robot, MEMS accelerometer, Bluetooth communication, Wireless data transmission, Embedded systems, Robotics and automation, Real-time control, Assistive robotics.

"GestuRobotics - Combines Gesture + Robotics, clear and modern", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.d508-d511, October-2025, Available :http://www.jetir.org/papers/JETIR2510368.pdf

"GestuRobotics - Combines Gesture + Robotics, clear and modern", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppd508-d511, October-2025, Available at : http://www.jetir.org/papers/JETIR2510368.pdf