Explores the intricacies of Intelligent Robotics and Autonomous Systems, addressing the integration of artificial intelligence into robotics, machine vision, computational intelligence, sensors and actuators, and human-robot interactions.

The chasm between the physical capabilities of Intelligent Robotics and Autonomous Systems (IRAS) and their cognitive potential presents a formidable challenge. While these machines exhibit astonishing strength, precision, and speed, their intelligence and adaptability lag far behind. This inherent limitation obstructs the realization of autonomous systems that could reshape industries, from self-driving vehicles to industrial automation. The solution to this dilemma is unveiled within the pages of Modeling, Simulation, and Control of AI Robotics and Autonomous Systems. Find within the pages of this book answers for the cognitive deficit within IRAS. While these systems boast remarkable physical capabilities, their potential for intelligent decision-making and adaptation remains stunted, thereby bringing innovation to a halt. Solving this issue would mean the re-acceleration of multiple industries that could utilize automation to prevent humans from needing to do work that is dangerous, and could revolutionize transportation, and more.

As society transitions into the digital age, the demand for advanced robotics and autonomous systems has remained unchanged. However, the field faces significant challenges bridging the gap between current capabilities and the potential for brilliant, autonomous machines. While exact and efficient, current robotic systems need more sophistication and adaptability of human intelligence. This limitation restricts their application in complex and dynamic environments, hindering their ability to realize their potential fully. Multidisciplinary Applications of AI Robotics and Autonomous Systems addresses these challenges by presenting cutting-edge research and innovative robotics and autonomous systems solutions. By exploring topics such as digital transformation, IoT, AI, and cloud-native computing paradigms, readers will understand the latest advancements in the field. The book delves into theoretical frameworks, computational models, and experimental approaches, offering insights to help researchers and practitioners develop more intelligent and autonomous machines.

"Robotics, Automation, and Computer Numerical Control" provides an insightful exploration into the principles and applications of robotics and automation technologies, delving into the transformative impact they have on modern manufacturing. Covering the fundamentals of robotics, the integration of automation systems, and the intricacies of CNC technology, this book offers readers a comprehensive understanding of how these technologies interact to enhance precision, efficiency, and productivity in various industrial settings. With real-world examples, practical applications, and an emphasis on the latest trends, this guide serves as an invaluable resource for students, engineers, and professionals seeking to deepen their knowledge in the field. Whether you are entering the world of advanced manufacturing or looking to stay updated with cutting-edge developments, this book equips you with the essential tools to navigate the evolving landscape of automation and robotics.

In the dynamic landscape of organizational management, the challenge of effectively evaluating and enhancing employee performance stands as a pivotal obstacle to maximizing workplace productivity and motivation. Traditional performance appraisal methods often fall short in providing meaningful insights into employees' contributions and fostering a culture of continuous improvement. This gap between outdated evaluation techniques and the evolving demands of the modern workforce presents a pressing dilemma for Human Resource Management professionals and organizational leaders worldwide. Employee Performance Management for Improved Workplace Motivation emerges as a definitive solution to this critical problem, offering a comprehensive guide to revolutionizing performance management systems. This book meticulously explores the intricacies of performance evaluation, from planning and monitoring to reviewing and rewarding. By integrating theoretical frameworks, practical case studies, and strategic insights, the book equips HR professionals, managers, and scholars with the tools and knowledge needed to implement effective performance management practices that drive employee motivation and organizational success.

The business world today is changing at a breakneck pace. Traditional management practices need help keeping up with the uncertainties and complexities of the digital age. Leaders face a lot of pressure to innovate, adapt, and drive transformative change within their organizations. However, they need more than just conventional wisdom to navigate this terrain. A deep understanding of emerging technologies like artificial intelligence (AI) and their practical applications in management is essential. Generative AI for Transformational Management offers a compelling solution to these challenges. This book provides a roadmap for leveraging AI to drive organizational transformation by exploring the intersection of generative AI and visionary leadership. By examining real-world case studies and practical applications, readers can learn how AI can be integrated into leadership practices to promote innovation and proactive decision-making and effectively navigate the complexities of the digital age.

In the ever-changing world of engineering, the confluence of Augmented Reality (AR) and Virtual Reality (VR) promises a revolutionary frontier; one that has the potential to remodel the fundamental fabric of our designed world. As our society approaches the genesis of a new age, the need for the study of this bourgeoning technology becomes clear. If harnessed properly, AR and VR have the capacity to revolutionize basic aspects of engineering methods. The combination of AR and VR can tackle the rising difficulties that engineers encounter in their design processes by providing improved tools for visualization and conceptualization. Navigating the Augmented and Virtual Frontiers in Engineering, is a thorough examination of the transformational impact of AR and VR in the vast field of engineering. This book explores the fundamental concepts, practical applications, and significant consequences of incorporating AR and VR technology into numerous engineering disciplines. It provides a comprehensive knowledge of how these immersive technologies are used in design processes, training simulations, maintenance procedures, and collaborative engineering projects. Covering topics such as asset management, geographic analysis, and sustainability, this book is an excellent resource for engineers, researchers, technological developers, postgraduate students, educators, academicians, and more.

The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis. This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike.

Integrating generative artificial intelligence (AI) into art, design, and media presents a double-edged sword. While it offers unprecedented creative possibilities, it raises ethical concerns, challenges traditional workflows, and requires careful regulation. As AI becomes more prevalent in these fields, there is a pressing need for a comprehensive resource that explores the technology's potential and navigates the complex landscape of its implications. The Pioneering Applications of Generative AI is a pioneering book that addresses these challenges head-on. It provides a deep dive into the evolution, ethical considerations, core technologies, and creative applications of generative AI, offering readers a thorough understanding of this transformative technology. Researchers, academicians, scientists, and research scholars will find this book invaluable in navigating the complexities of generative AI in art, design, and media. With its focus on ethical and responsible AI and discussions on regulatory frameworks, the book equips readers with the knowledge and tools needed to harness the full potential of generative AI while ensuring its responsible and ethical use.

Today, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized industries worldwide, driving business growth and reshaping societies. While these technologies have yielded remarkable benefits, many developing countries face challenges in harnessing their potential due to inadequate data collection and availability. Emerging Advancements in AI and Big Data Technologies in Business and Society delves into the profound impact of AI and Big Data on the digital landscape and their transformative influence on social, economic, and political spheres. With a historical overview of AI's evolution and its operational definition, this book explores interconnected subfields such as problem-solving, intelligent agents, natural language processing, computer vision, and machine learning. AI is hailed as the fourth industrial revolution and the widespread use of AI technologies prompts discussions about their applications, performances, and societal impact. This book serves as a comprehensive guide for academics, researchers, and students in universities and engineering schools. It also caters to policymakers, government officers, corporate leaders, technology directors, and managers seeking to understand the potential of AI and Big Data. Additionally, libraries and information centers catering to the needs of these professionals will find this book an essential resource.