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Full Description
This book provides comprehensive exploration of multi-robot collaboration systems that are revolutionizing industrial operations across manufacturing, logistics, and automation sectors. It bridges the critical gap between academic research and practical implementation by delivering actionable frameworks for deploying collaborative robotic solutions in real-world industrial environments. The book provides solutions to lack of practical guidance for implementing multi-robot systems that can scale effectively while maintaining reliability and safety standards. Current literature focuses heavily on theoretical aspects without adequately addressing industrial deployment challenges such as system integration, fault tolerance, cybersecurity, and regulatory compliance. This publication fills that void by combining cutting-edge research with proven implementation strategies. The book covers essential topics including hyper-automation technologies, swarm robotics principles, blockchain-based security frameworks, digital twin integration, and sustainable robotics practices
Contents
PART I: FOUNDATIONAL PARADIGMS AND FRAMEWORKS.- Chapter 1: A Technical Introduction to Hyperautomation Technologies and Tools.- Chapter 2: Adaptive Learning in Multi-Robot Systems: Evolving Intelligence on the Fly PART II: SWARM INTELLIGENCE & AI COORDINATION.- Chapter 3: Artificial Intelligence (AI)-Driven Coordination and Swarm Intelligence in Multi-Robot Collaboration: Toward Smarter Industrial Ecosystems.- Chapter 4: Swarm Intelligence Models for industrial Multi-Robot systems.- Chapter 5: Swarm Intelligence in Practice: Industrial Applications and Case Studies.- PART III: CORE TECHNOLOGIES AND INFRASTRUCTURE.- Chapter 6: 5G and Edge Computing for Multirobot Communication.- Chapter 7: Edge Computing for Multi-Robot Communication in Industrial Systems.- Chapter 8: IoT Integration and Sensor Networks in Collaborative Robotics.- Chapter 9: Architectures for Decentralized Trust: Implementing Lightweight Blockchain Solutions in Resource-Constrained Multi-Robot Systems.- Chapter 10: A Hardware-Aware Trust Framework for Multi-Robot Collaboration Using Fault-Based Cryptographic Identity.- PART IV: APPLICATIONS AND ADVANCED IMPLEMENTATIONS.- Chapter 11: Multi-Robot Collaboration in Large-Scale Additive Manufacturing: Systems, Applications, and Future Outlook.- Chapter 12: Integrating Digital Twins with Multi-Robot Simulation Platforms for Predictive Maintenance and Performance Optimization.- Chapter 13: Adaptive Human-Robot Collaboration and Interface Design in Multi-Robot Environments.



