Insect Cognitive Architecture for Robotics: Modeling Neural Circuits for Intelligent Machines (Robotics Engineering and Intelligence)
Format:
Paperback
En stock
1.29 kg
Sí
Nuevo
Amazon
USA
- 💡 Note: This book is written for serious engineers and researchers who want rigorous, high-level technical insight. It’s dense, detailed, and assumes prior familiarity with advanced concepts. If you value precision, depth, and professional-grade explanations—you’ll find this book indispensable. What if the smartest blueprint for building intelligent robots wasn’t found in supercomputers or massive AI labs—but inside the tiny brain of an insect?Insects conquer the world with less than a million neurons. They navigate cities of pheromone trails, execute precision flight maneuvers, solve complex foraging problems, and coordinate in vast colonies—all with brains smaller than a pinhead. Their survival proves a radical truth: intelligence doesn’t require size. It requires efficiency.This groundbreaking book takes you deep into the miniature minds that evolution has perfected and reveals how their strategies can be harnessed to design next-generation robotics. You’ll discover:Why insect cognition outperforms traditional AI when it comes to autonomy, adaptability, and energy efficiency.How neural structures like the central complex and mushroom bodies provide templates for robust robotic architectures.The secrets of insect vision, olfactory tracking, and tactile sensing—and how to replicate them in machine systems.The mechanisms behind insect learning, memory, and decision-making under uncertainty—and how to turn them into algorithms.Practical applications: micro air vehicles, swarm robotics, search-and-rescue systems, agricultural monitoring, and more.This is not speculation. It’s a rigorous, academically grounded manual that bridges biology and robotics. Each chapter takes you from insect neuroanatomy to real-world engineering applications, from fundamental circuits to advanced swarm systems. It strips away the waste of oversized AI architectures and shows how elegance and simplicity can unlock breakthroughs in machine intelligence.If you’re serious about robotics, AI, or the future of autonomous systems, this book is not optional reading—it’s the competitive edge.
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