Real-Time Algorithms in Gazebo Simulating Robot Decision-Making: Developing Low-Latency Control Algorithms with ROS2 and TensorFlow

By Corwin Halesworth and Isandro Myles

⏱️ Real-Time Algorithms in Gazebo Simulating Robot Decision-Making

Developing Low-Latency Control Algorithms with ROS2 and TensorFlow

In robotics, real-time decision-making isn't just a luxury-it's a necessity. Real-Time Algorithms in Gazebo is your comprehensive guide to developing low-latency, high-performance control algorithms that enable robots to make autonomous decisions in real-time using ROS2, TensorFlow, and Gazebo.

This book equips you with the tools to create realistic simulations and intelligent decision-making systems that operate with minimal delays-crucial for applications in autonomous navigation, robotic manipulation, and industrial automation.

What you'll learn inside:

Implementing real-time control algorithms for autonomous robots with ROS2 and TensorFlow

Creating sensor-based decision-making systems using deep learning models in TensorFlow

Optimizing robot perception and control loops for low-latency performance

Simulating robot decision-making in Gazebo for realistic testing environments

Integrating reinforcement learning (RL) models for adaptive decision-making

Managing robot state transitions and task planning with ROS2's real-time scheduler

Benchmarking and tuning real-time algorithms to achieve reliable performance in dynamic environments

Designing robotic systems for fast response in mission-critical tasks

From autonomous vehicles navigating through cities to robotic arms performing precision tasks, this book teaches you how to implement real-time decision-making algorithms that scale with your system's complexity.

⚙️ Perfect for robotics engineers, AI developers, and systems architects

• Format: Paperback
• Language: English
• ISBN: B0FK9QK2RN
• ISBN13: 9798294411060
• Release Date: July 2025
• Publisher: Independently Published
• Length: 150 Pages
• Weight: 0.46 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"