- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
The book presents the innovative aspects of smart industries and intelligent technologies involving Robotics and Automation. It discusses the challenges in the design of autonomous robots and provides an understanding of how different systems communicate with each other, allowing cooperation with other human systems and operators in real time.
Robotics and Automation in Industry 4.0: Smart Industries and Intelligent Technologies offers research articles, flow charts, algorithms, and examples based on daily life in automation and robotics related to the building of Industry 4.0. It presents disruptive technology applications related to Smart Industries and talks about how robotics is an important Industry 4.0 technology that offers a wide range of capabilities and has improved automation systems by doing repetitive tasks with more accuracy and at a lower cost. The book discusses how frontline healthcare staff can evaluate, monitor, and treat patients from a safe distance by using robotic and telerobotic systems to minimize the risk of infectious disease transmission. Artificial intelligence (AI) and machine learning (ML) are looked at and the book offers a comprehensive overview of the key challenges surrounding the Internet of Things (IoT) and AI synergy, including current and future applications with significant societal value.
An ideal read for scientists, research scholars, entrepreneurs, industrialists, academicians, and various other professionals who are interested in exploring innovations in the applicational areas of AI, IoT, and ML related to Robotics and Automation.
Contents
1. Integration of Nature Inspired Mechanisms to Machine Learning in Real Time Sensors, Controller and Actuators for Industrial Automation
2. Implication of Cloud Computing, IoT and Wearable Robotics for Smart Healthcare and Agriculture Solution
3. Role of Human Robot Interaction in Building Automated Mixed Palletization based on Industrial Applications
4. Emerging Soft Computing and Machine Learning Techniques Applicable in Industrial and Automated Applications
5. PSO based Nature Inspired Mechanisms for Robots during Smart Decision Making for Industry 4.0
6. Application of AI based Learning in Automated Applications and Soft Computing Mechanism Applicable in Industries
7. Investigating Scope and Applications for Internet of Robotics in Industrial Automation
8. Role of Artificial Intelligence in Making Wearable Robotics Smarter
9. Role of machine learning approaches in optimization of AI based industry 4.0 healthcare management systems
10. Leveraging Financial Data to Optimize Automation: An Industry 4.0 approach
11. Assessing Cybersecurity Risks in the Age of Robotics and Automation: Frameworks and Strategies for Risk Management
12. The Role of Education in Addressing the Workforce Challenges of Automation: A Global Perspective
13. The Intersection of Human Resource Management and Automation: Opportunities and Challenges for HR Professionals
14. Data-Driven Insights for Agricultural Management: Leveraging Industry 4.0 Technologies for Improved Crop Yields and Resource Optimization
15. Data Analytics and ML for Optimized Performance in Industry 4.0
16. Business Intelligence in Action: Way of Successful Implementation of Automated Systems
17. A Review of Dielectric Resonator Antennas (DRA) based RFID technology for Industry 4.0
18. Leveraging Blockchain for Improved Supply Chain Management and Traceability in Industry 4.0
19. Securing Automated Systems with BT: Opportunities and Challenges
20. Transforming Healthcare with Industry 4.0: The Impact of Social Media on Mental Health
21. Multiband Antenna Design For Internet Of Things (Iot) Applications
22. A counter propagation based neuro solution model for categorization and fee fixation of engineering institutions
23. Industry 4.0 in the nutraceutical industry and public health nutrition
