AI-POWERED ROBOTICS TENSORFLOW FOR AUTONOMOUS SYSTEMS: Designing Intelligent Robots with Deep Learning and ROS2 Integration - Tapa blanda

Sinopsis

🤖 AI-Powered Robotics TensorFlow for Autonomous Systems

Designing Intelligent Robots with Deep Learning and ROS2 Integration

Robots that learn, adapt, and navigate the world on their own aren’t science fiction anymore—they’re built with TensorFlow and ROS2. AI-Powered Robotics is your hands-on guide to designing intelligent autonomous systems that combine the decision-making power of deep learning with the control flexibility of the Robot Operating System (ROS2).

Whether you're building an autonomous rover, a vision-guided arm, or a speech-enabled service robot, this book walks you through the complete pipeline—from model training to real-time deployment on robotic platforms.

What you’ll learn:

• Train and optimize deep learning models using TensorFlow 2.x for robotic applications

• Use convolutional neural networks (CNNs) for object detection, scene segmentation, and perception

• Integrate TensorFlow inference with ROS2 nodes and real-time robotic control loops

• Handle camera, LiDAR, IMU, and multi-sensor fusion data for smart decision-making

• Deploy models to edge hardware (Jetson, Coral, Raspberry Pi) for real-time AI performance

• Apply reinforcement learning for behavior adaptation and motion planning

• Build end-to-end autonomous systems with modular, scalable code

Packed with real-world examples, clean code, and project-based learning, AI-Powered Robotics gives you the tools to build robots that don’t just move—but think, learn, and improve.

🧠 For robotics engineers, AI developers, and ML practitioners working in automation
📦 Includes complete ROS2-TensorFlow integration workflows, sample datasets, and deployment guides
🚀 Covers both training pipelines and production-level robot deployment

Build robots with brains. Power autonomy with AI. Your intelligent future starts here.

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