Collaborate. Coordinate. Scale. In ROS SWARM FRAMEWORKS , you'll learn how to design, deploy, and scale autonomous robot teams that communicate, make decisions, and solve problems together. By integrating ROS for distributed control and TensorFlow for learning-based behaviors, this practical guide shows you how to build robust, scalable systems that perform in complex environments with real-time coordination. Inside, you'll discover how to: Implement ROS-based multi-robot frameworks : design modular systems ...
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Collaborate. Coordinate. Scale. In ROS SWARM FRAMEWORKS , you'll learn how to design, deploy, and scale autonomous robot teams that communicate, make decisions, and solve problems together. By integrating ROS for distributed control and TensorFlow for learning-based behaviors, this practical guide shows you how to build robust, scalable systems that perform in complex environments with real-time coordination. Inside, you'll discover how to: Implement ROS-based multi-robot frameworks : design modular systems with ROS2 namespaces, lifecycle nodes, remapping, and parameter handling for decentralized operations. Build distributed control systems that enable robots to make collaborative decisions while maintaining autonomy. Use TensorFlow to develop reinforcement learning (RL) and deep learning (DL) models that allow robots to adapt and optimize their collective behavior. Apply multi-agent RL strategies (MADDPG, MAPPO, VDN) for complex task allocation and coordination. Optimize multi-robot navigation with Nav2 , costmaps, shared maps, and conflict-free routing for synchronized movement. Integrate real-time communication and messaging via DDS (Data Distribution Service) for robust robot-to-robot and robot-to-base communication. Scale up robot teams with efficient decision-making algorithms, from auction-based coordination to consensus protocols . Simulate robot behaviors and interactions in Gazebo , refining swarm algorithms with failure injection and domain randomization for robust real-world deployment. Deploy to hardware with edge computing , ROS2 integration , and model optimization for real-time inference and decision-making. Monitor robot teams in operation using telemetry, logging, and real-time dashboards for system observability. With step-by-step tutorials , reusable ROS2 packages , and TensorFlow integration tips , this book provides the tools to turn multi-robot ideas into dependable systems-whether you're testing in the lab or deploying in the field. Who This Book Is For ROS2 developers moving from single robots to collaborative fleets Robotics engineers integrating machine learning with multi-robot control Researchers and students experimenting with swarm robotics and decentralized decision-making Product teams deploying real-world autonomous systems for industries like logistics, search-and-rescue, and inspection Build collaborative robots that learn, adapt, and execute together-with confidence.
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Add this copy of Ros Swarm Frameworks Coordinating Autonomous Robot to cart. $13.68, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
Add this copy of Ros Swarm Frameworks Coordinating Autonomous Robot to cart. $19.97, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by Independently Published.
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