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Vision-Driven Robots

Real-Time Object Detection, Depth Sensing, and Visual SLAM with ROS2 and OpenCV

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Vision-Driven Robots THOMPSON CARTER
Koda Libristo: 52241682
Založba Independently published, april 2026
Build robots that see, understand, and navigate the world in real timeFor robots to become truly int... Celoten opis
? points 55 b Novo Novo
22.67
Na zalogi pri dobavitelju Odposlali bomo v 9-15 dneh

30 dni za vračilo blaga

Build robots that see, understand, and navigate the world in real time

For robots to become truly intelligent, they must see.

Not just capture images, but interpret environments, recognize objects, estimate depth, and make decisions based on visual data.

"Vision-Driven Robots" is a practical, hands on guide to building perception driven robotic systems using ROS 2 and OpenCV, powered by Python.

This book focuses on real time vision systems that enable robots to interact intelligently with their surroundings.


Why computer vision is the key to autonomy

A robot without vision is limited.
A robot with vision can understand its environment.

With modern perception systems, robots can:

  • detect and classify objects in real time
  • estimate depth and distance
  • track movement and changes
  • map environments visually
  • navigate using visual cues

This book shows you how to build these capabilities step by step.


What you will learn
  • fundamentals of computer vision in robotics
  • working with cameras and visual data streams
  • real time object detection techniques
  • depth sensing and 3D perception
  • visual SLAM concepts and implementation
  • integrating OpenCV with ROS2
  • processing images efficiently
  • tracking objects and motion
  • optimizing performance for real time systems
  • debugging and improving perception pipelines

From pixels to intelligent behavior

Throughout the book, you will learn how to:

  • capture and process camera input
  • detect objects and interpret scenes
  • estimate distance and spatial relationships
  • build visual mapping systems
  • integrate perception with robot control
  • create robots that respond to what they see

Each chapter builds toward a complete perception driven robot.


Practical applications
  • autonomous navigation using vision
  • object tracking robots
  • surveillance and monitoring systems
  • industrial inspection robots
  • AI powered perception systems

These use cases show how vision transforms robotics.


Who this book is for
  • robotics developers
  • computer vision enthusiasts
  • Python programmers entering robotics
  • engineering students
  • professionals building perception systems

If you want to build robots that can see, understand, and act in real environments, this book gives you the roadmap.

See the world.
Understand the data.
Build vision driven robots.

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