Abstract:
This project presents the design and development of a real-time biomimetic robotic hand system that replicates human hand movements using a sensor-embedded glove. The system leverages flex sensors, an accelerometer, and wireless RF communication to capture and transmit finger and hand motions to a robotic hand for imitation. Flex sensors mounted on a wearable glove detect the bending of individual fingers, while an accelerometer captures the orientation of the wrist. These analog signals are processed by a microcontroller (Arduino), formatted, and transmitted wirelessly using RF modules. A second microcontroller receives this data and actuates servo motors embedded in a robotic hand, accurately replicating the user's hand gestures in real time. The system is powered by portable batteries, making it compact and wireless.
Introduction:
In recent years, the field of robotics has seen significant advancements, particularly in human-machine interfaces and biomimetic systems. Among these, robotic hands that mimic human hand movements have gained considerable attention due to their potential applications in prosthetics, teleoperation, industrial automation, and rehabilitation. A biomimetic robotic hand aims to replicate the dexterity and flexibility of the human hand, making it a valuable tool in scenarios where precision and adaptability are critical.
This project focuses on developing a real-time robotic hand replication system using a glove embedded with various sensors. The glove captures the motion of a human hand using flex sensors to detect finger bending and an accelerometer to monitor hand orientation. These signals are processed by an Arduino microcontroller and transmitted wirelessly through RF modules to a second Arduino controlling a servo-driven robotic hand. Each servo corresponds to a finger joint, allowing the robotic hand to mimic human gestures in real time.
The motivation behind this project is to create a cost-effective and easily implementable solution that bridges the gap between human motion and robotic control. Unlike traditional robotic control systems that rely on programming and pre-defined movements, this system enables intuitive and natural interaction through direct gesture mapping. The wireless design further enhances its usability, allowing freedom of movement without tethered connections.
By combining low-cost sensors, Arduino-based processing, and real-time wireless communication, the system demonstrates how simple electronics can be integrated to create a powerful and responsive biomimetic robotic platform. The approach emphasizes accessibility for educational and research purposes while maintaining functionality for more advanced applications.

Objectives
1. To design a sensor glove using flex sensors and an accelerometer to capture hand and finger movements.
2. To use Arduino to process the sensor data.
3. To transmit the data wirelessly using RF modules.
4. To control a robotic hand using servo motors that mimic the human hand in real time.
5. To build a low-cost and portable system for education, research, or assistive use.