gnanesh-16/Automated_gigglethon

This project introduces an innovative robotic arm powered by Arduino, designed for efficiency. It incorporates a dual-functionality system where potentiometers serve as joysticks, offering intuitive control over the robotic arm's movements. retaining the capability to manipulate heavier weights than traditional robotic arms can't manage

🤖 Arduino-Powered Robotic Arm with Advanced Control 🕹️

🌟 An innovative, energy-efficient robotic arm that leverages Arduino for precision control, designed to handle tasks beyond the reach 🌟 traditional robotic arms. designed for efficiency. It incorporates a dual-functionality system where potentiometers serve as joysticks, offering intuitive control over the robotic arm's movements. retaining the capability to manipulate heavier weights than traditional robotic arms can't manage

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🚀 Key-Features

• Arduino-Powered: The core of our robotic arm is driven by the versatile and powerful Arduino platform, ensuring reliable and responsive control.

• Potentiometer Joystick Control: Experience unparalleled control and precision with potentiometers that double as intuitive joysticks.

• Energy Efficient: Designed with energy conservation in mind, it operates on low power without compromising on performance.

• Superior Weight Handling: Break through the limitations of traditional robotic arms with our design's enhanced weight handling capabilities.

🛠️ Installation

Prerequisites

• Arduino IDE (UNO)
• Basic soldering equipment
• 3D printer (optional for custom parts)
• Jumpier Wires _ 12
• Servomotor _ 4
• Bread board _ 1
• etc .. components ex:- Display to give full hands on control via contacts.

Assembly

1. Build the Arm: Assemble your robotic arm using the provided schematics. Customize with 3D printed parts as needed.

2. Wiring: Connect the servo motors to the Arduino,

3. Programming: Upload the included .ino file to your Arduino.

4. Testing: Calibrate your robotic arm using the potentiometers for precise control.

💡 Usage

Turn the potentiometers to navigate the robotic arm's movement and grip functionality. Ideal for a wide range of applications from educational projects to light industrial use. Perfect for hobbyists seeking a project that combines mechanical engineering with electronic control.

🤝 Contributing

We welcome contributions! If you have ideas for improvements or bug fixes, please follow our contributing guidelines outlined in CONTRIBUTING.md. Let's make this project even better together!

📄 License

This project is proudly licensed under the Apache License. For more details, see LICENSE.md.

📸 Gallery