Voice Video Manipulator

Project Overview

VVM was my first venture into ROS2 development, combining voice commands, computer vision, and robotic manipulation. This project demonstrates how AI can make robots understand and respond to human commands naturally.

How It Works

The system works in three main steps:

Listen: Voice recognition converts speech to commands
See: Computer vision detects and identifies objects
Act: Robotic arm performs pick-and-place operations

Say "pick up the red ball" and the robot will find the red ball, calculate its position, and grab it!

System in Action

Voice Video Manipulator system architecture

Object Detection System

Object detection and distance calculation in real-time

Computer Vision Pipeline

The vision system processes camera feeds to identify and locate objects:

Real-time object detection using machine learning models
3D position estimation from 2D camera coordinates
Distance calculation for precise manipulation
Object classification for command matching

Complete Voice Control Demo

Complete voice-controlled pick-and-place operation

Technical Implementation

Voice recognition for natural language command processing
Computer vision for object detection and identification
3D distance calculation for precise positioning
Inverse kinematics for robotic arm control
ROS2 integration for modular system architecture
Gazebo simulation for safe testing and development

Built With

ROS2 Gazebo Python OpenCV Machine Learning Speech Recognition Computer Vision

Key Features

Natural language voice commands
Real-time object detection and classification
Automatic distance calculation
Precise robotic arm manipulation
Gazebo simulation environment
Modular ROS2 architecture

Challenges Solved

Voice Recognition Accuracy: Implemented robust speech processing to handle various accents and background noise
Object Detection Precision: Fine-tuned machine learning models for accurate object identification
3D Position Calculation: Developed algorithms to convert 2D camera coordinates to 3D robot workspace
System Integration: Successfully integrated multiple AI components in a single ROS2 system

My First ROS2 Experience

This project was my introduction to ROS2 development. It taught me how to:

Design modular robotic systems
Integrate multiple AI technologies
Work with simulation environments
Handle real-time data processing
Debug complex multi-component systems

The experience gained from VVM became the foundation for all my future robotics projects.