International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 11 | Nov 2025
p-ISSN: 2395-0072
www.irjet.net
Intelligent IoT-Based Hand Gesture Controlled Robot Prof. Sanjay M. Malode1, Vaishnavi Rajesh Gahlod2, Nikita Vijay Yende3, Pooja Pradip Naikwade4 1,U.G. Professor, Department of Artificial Intelligence and Data Science Engineering, K.D.K.College of Engineering,
Nagpur, Maharashtra, India
2,3,4,Student, Department of Artificial Intelligence and Data Science Engineering, K.D.K. College of Engineering, Nagpur,
Maharashtra, India
---------------------------------------------------------------------------------------***----------------------------------------------------------------------Abstract - The paper focuses on an IoT-based robot that users can control with hand gestures. The primary objective of the project is to develop a smart robotic system that recognizes and responds to hand gestures in real-time. The algorithm is based on control with the help of c++, and recognizing gestures, thereby enabling quick and efficient processing. Accelerators or a vision module detect movement of the hands with the sensors. The data is processed by a microcontroller, such as an ESP32. Wireless modules like Bluetooth or Wi-Fi transmit the data, allowing the hand to communicate with and control the robot. It connects to an Internet of Things (IoT) platform for remote monitoring, control, and analysis. Here, we propose a new and natural control interface for these robotic systems based on gesture recognition, IoT connectivity, and AI-based intelligence.
Keywords: Hand gesture recognition; Data transmission, Omnidirectional; Human-computer interaction. Signal recognition.
1. INTRODUCTION Our project involves building an IoT-based hand gesture-controlled robot. The IoT and AI technologies are integrated into this mini four-wheeler, enabling it to move in all directions without manual control, eliminating the need for manual controls. The system is built on a mini four-wheeled robotic platform, which is capable of moving forward, backward, left, right, as well as stopping, all with specific hand gestures. The robot’s IoT connectivity allows for remote monitoring and control, making it easy, simple, and convenient to operate. This real-time gesture recognition, combined with wireless IoT communication, makes robotics smarter, quicker, more responsive, and more interactive. Such an approach is employed to improve usability and give rise to new applications in assistive technology, healthcare, industrial automation, smart homes, and defense systems.
2. LITERATURE SURVEY The author explains about the [1] “an IoT system that allows users to control devices by using simple hand gestures. The model uses a camera to detect movements and switches the appliances on or off without the need to touch a thing”. It is a good example of how gesture control can make everyday device use easier and more natural. The author in [2] introduces LEXIBOT, a miniature personal assistant robot controlled with hand gestures. An accelerometer detects the user’s hand movements and turns them into commands for the robot. The results show that simple gestures can be used instead of buttons or voice control, making it easier and natural to use. In [3], the authors design an Arduino-based robot that moves according to hand gestures. An accelerometer senses the hand gestures by users and translates this movement into commands that are sent to the robot. Tests showed that the robot responds quickly and correctly to different gestures. The work shows how basic sensors and IoT technology can make gesturecontrolled robots easy to build and use. In [4], the authors build a basic Arduino-based robot that operates by hand gesture, hand-tilt. An RF transmitter sends the gesture signals to the robot, removing the need for buttons or joysticks. With separate transmitter and receiver sections, the system provides an easy and natural way to control the robot and can be improved further for advanced purposes. The author in [5] develops a gesture-controlled robotic car that moves based on hand gestures detected by an accelerometer sensor. Motor drivers control the car’s four gear motors, allowing it to respond smoothly to each gesture. The study shows that the use of gesture control simplifies the use of robotic vehicles more easily and naturally, which gives rise to new applications.
© 2025, IRJET
|
Impact Factor value: 8.315
|
ISO 9001:2008 Certified Journal
|
Page 1016