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Full Description
This book highlights innovative developments in the areas of autonomous vehicles, robotics, intelligent control strategies, and AI-driven logistics systems. It focuses on both theoretical advancements and practical implementations, highlighting applications across Formula Student autonomous racing, robotic systems, and intelligent supply chains. By covering cutting-edge topics such as Model Predictive Control, dual-mode braking systems, robotic arm control, and AI-driven logistics optimization, the book integrates contributions across multiple domains, providing readers with valuable insights into emerging methodologies and their real-world impact.
Contents
Model Predictive Control for OBR Autonomous.- Development and Simulation of a Dual-Mode Autonomous Braking System for Human and AI Controlled Driving in an EV Formula Student Car.- Time-Efficient Driver Model Based on Model Predictive Control Approach.- Modelling and Control of a Two-Degree-of-Freedom Robotic Arm using PID and Fuzzy Logic Control.- Multi-Modal Supply Chains: A Generative AI Framework for Intelligent Logistics Optimization, Freight Exchange, and Dynamic Routing.



