This book presents proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 Held on 22 and 23 August in Suzhou, China. This proceedings deliberates on the key challenges, engineering and scientific discoveries, innovations, and advances on intelligent manufacturing and robotics that are non-trivial through the lens of Industry 4.0. In this book, traditional and modern solutions that are employed across the spectrum of various intelligent manufacturing and robotics contexts are presents. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as proposed solutions from this book.

Presents selected peer reviewed articles from ICIMR 2024, held at Xi'an Jiaotong-Liverpool University in China Includes key challenges, innovations, and advances in intelligent manufacturing and robotics Presents traditional & modern solutions employed across the spectrum of intelligent manufacturing and robotics

Inhalt

Experimental Investigation on Rheological Characteristics of Aerated Fine Powders.- Reinforcement Learning Algorithm for two-leg robot with DDPG and TD3.- Research on abrasive-workpiece interaction mechanism in 2.5D needle-punched-Cf/C-SiC composites scratching tests.- A bio-Inspired Metaheuristics Algorithm for Reduction of Coverage Holes in Optimizing the Performance of Next Generation Wireless Network (NGWN).- Advancing In-Situ Bioprinting through Ant Colony Optimisation: Resolving Dead Zone Challenges in Path Planning.- Autonomous Real-Time Human-Robot Emotional Interaction through Facial Recognition.- Machine Learning for Predictive Risk Analytics in Industry 4.0: A Comprehensive Random Forest Evaluation.- Enhancing Deepfake Detection: A Weighted Summation Model of CNN Approach with Local and Global Analysis.- Virtual Streamer Features: Unveiling the Influence on Online Purchase Intentions in the TikTok Era.- Green Threads and Digital Dreams: Exploring the Influence of AI-Mediated Experiences on Purchase Intentions in Sustainable Apparel Markets.- The Implications of Platform Algorithms on Platform Worker's Job Security.