SKU/Artículo: AMZ-B0G33ST9Q9
SWARM Robotics Collaborative Intelligence in Action: Design multi-robot systems for coordinated tasks
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Kindle
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Fuera de stock
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0.15 kg
0.15 kg
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Sí
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Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- In a future where interconnected machines redefine efficiency across industries—from disaster response to smart manufacturing and environmental monitoring—SWARM Robotics Collaborative Intelligence in Action serves as your ultimate playbook for engineering multi-robot systems that operate as a unified, intelligent collective. This transformative guide breaks down the barriers to swarm robotics, enabling innovators, researchers, and engineers to design coordinated fleets that outperform single-unit solutions, addressing key challenges like synchronization failures, resource limitations, and adaptability in complex environments.Daunted by the intricacies of programming collective behaviors that scale seamlessly? Harness Python-based frameworks like ROS2 and PySwarm, augmented by reinforcement learning with Stable Baselines3 for emergent strategies that evolve through trial-and-error simulations. Struggling with communication bottlenecks in dynamic settings? Integrate 5G and mesh networking protocols for ultra-low-latency data exchange, powered by edge AI on devices like NVIDIA Jetson for real-time decision-making without central servers. Concerned about robustness against failures or cyber threats? Employ blockchain-distributed ledgers for consensus algorithms and quantum-resistant encryption to ensure fault-tolerant operations, while machine vision with YOLO models enables obstacle avoidance and task allocation in unpredictable terrains.This book leverages breakthrough advancements to conquer objections: Dive into bio-inspired algorithms mimicking ant colonies or bird flocks via genetic programming, federated learning for privacy-preserving model training across robots, and IoT integration for hybrid swarms combining ground, aerial, and aquatic units. Overcome scalability hurdles with containerized deployments on Kubernetes, predictive maintenance using time-series forecasting with Prophet, and ethical AI frameworks to prevent unintended biases in group dynamics. Whether deploying for precision farming, search-and-rescue missions, or warehouse automation, master core techniques like formation control, stigmergy-based coordination, and adaptive task partitioning—all through hands-on projects and simulations.Brimming with case studies from pioneering labs at MIT and DARPA, open-source code repositories, and forward-looking insights into neuromorphic computing for energy-efficient swarms, this book propels you from theory to deployment. No advanced degree necessary; just ambition to orchestrate robotic symphonies. Unleash collaborative intelligence and architect the swarms that will shape tomorrow's autonomous world.
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