Robotic Arm Control System

Welcome to the Robotic Arm Control System repository! .Our roboitc arm is designed for use in autonomous rovers, focusing on efficient mechanical design, robust drive electronics, and sophisticated control algorithms.

Table of Contents

• Project Overview
• Features
• Mechanical Design
• Electronics Design
• Software Design
• Specifications
• Getting Started
• Usage
• Contributing
• License

Project Overview

The robotic arn is a crucial component of our autonomous rover, capable of performing various tasks such as picking and placing objects. This repository contains all the necessary files for the mechanical, electronic, and software aspects of the robotic arn.

Features

• Mechanical Design: Optimized for lightweight and strength.
• Drive Electronics: Efficient and precise control of motors.
• Software Design: Advanced algorithms for smooth and accurate manipulation.

Mechanical Design

Our robotic arn features a robust mechanical structure designed with high-strength materials. Key aspects include:

• Aluminum Structure: Lightweight and strong.
• Precision Joints: Ensures smooth movement and stability.
• Ergonomic Gripper: Capable of handling various objects securely.

Electronics Design

The electronic system is designed for reliable and precise control. It includes:

• Motor Drivers: For accurate motor control.
• Sensors: For feedback and environmental interaction.
• Microcontrollers: For processing and control logic.

Software Design

The software is designed to integrate seamlessly with the hardware components, featuring:

• ROS2 Integration: For communication and control.
• OpenCV: For object detection and manipulation.
• Custom Algorithms: For path planning and obstacle avoidance.

Specifications

• Material: Aluminum and high-strength plastics.
• Motors: High torque DC motors.
• Sensors: Proximity sensors, encoders, and cameras.
• Microcontroller: Arduino and compatible systems.

Getting Started

Prerequisites

• Hardware: Ensure all mechanical and electronic components are assembled as per the design.
• Software: Install ROS2, OpenCV, and other required libraries.

Installation

1. Install dependencies:

   pip install -r requirements.txt

2. Build the ROS2 packages:

   colcon build

Usage

1. Launch the control nodes:

   ros2 launch robotic arn_control robotic arn.launch.py

2. Use the provided scripts for specific tasks:

   python scripts/pick_and_place.py

License

This project is licensed under the MIT License. See the LICENSE file for details.