Vision And Control For Robots: Core Algorithms In MATLAB For Robotic Vision, Sensing, And Real-Time Control, Second Edition, Expanded, Updated, And Loaded With Hands-On Examples For Engineers And DIYers

Robotics Vision and Control with MATLAB: Core Algorithms
✔️ Expanded 2nd edition with Lie groups, SLAM, and visual servoing

Vision and Control for Robots is a practical, theory-to-code guide that connects robot perception with real-time control. This book is commonly used by engineers, researchers, and DIY enthusiasts working on autonomous robots, robotic arms, and vision-enabled navigation.

✅ Edition: 2nd ed. (2017), 722 pages, English
✅ Core topics: robotics, vision, sensing, and real-time control with MATLAB Toolboxes
✅ 1000+ MATLAB and Simulink examples and 400+ figures
✅ Updated material on Lie groups, SLAM, pose-graph, visual servoing, and more

💡 What is a typical use case for robotics vision and control systems?

Here's a handy summary for quick reference.

- Real-time camera-based guidance for navigation and obstacle avoidance
- Pose estimation and tracking for robotic arms and grippers
- Visual servoing to align tools with targets during manipulation
- Visual odometry and SLAM for autonomous navigation
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