• Project:
  Gesture Controlled Robot
• Category:
  Robotics & Physical AI
• Sub-Category:
  Autonomous Robots

• Cost:
  ₹ 13000
• Date:
  28/Jan/2026
• Status:
  Deployed

Project Details:

Project: Robot Controlled Using Hand Gestures

This project focuses on controlling a robot using hand gestures captured through sensors, demonstrating real-time human–machine interaction. By translating natural hand movements into robotic actions, the system enables intuitive and contactless control, making human–robot communication more seamless and efficient.

Project Overview

In this project, learners design and develop a gesture-controlled robotic system where sensor data from hand movements is processed and converted into control signals for the robot. The system interprets gestures such as tilting, rotating, or moving the hand to control the robot’s direction and motion, showcasing the integration of sensors, embedded systems, and control logic.

Key Objectives

• Understand the fundamentals of human–machine interaction
• Capture and process hand gesture data using sensors
• Convert sensor input into meaningful robot movements
• Design real-time control logic for responsive behavior
• Build a functional gesture-controlled robotic system

Skills Covered

• Sensor interfacing and data acquisition
• Embedded system programming
• Real-time signal processing basics
• Wireless and wired communication methods
• Robot motion control and coordination
• System integration and debugging

Tools & Technologies Used

• Motion or flex sensors / accelerometers / gyroscopes
• Microcontrollers such as Arduino or ESP32
• Motor drivers and DC/servo motors
• Wireless communication modules (Bluetooth / RF)
• Embedded programming using C/C++
• Power management and hardware interfacing

Real-World Use Case

Gesture-controlled robots are used in applications such as assistive robotics, remote operation in hazardous environments, industrial automation, and interactive systems. This technology is also widely explored in healthcare, defense, and smart robotics research to improve intuitive machine control.

Learning Outcomes

By completing this project, learners gain hands-on experience in building interactive robotic systems. They develop a strong understanding of sensor-based control, real-time system response, and human–machine interaction, preparing them for advanced robotics and automation projects.