Introduction
Welcome to the exciting world of Robotics and Artificial Intelligence (AI)! Whether you are an engineering student embarking on your academic journey or a faculty member leading cutting-edge research, the Alma Jordan Library offers a wealth of information to support your endeavours.
Historical Context and Evolution
The fields of AI and Robotics were strongly connected in the early days of AI, but over time they developed as separate disciplines. AI focused on abstract problems and algorithms, while Robotics concentrated on physical embodiment and control. However, recent advancements have bridged this gap, leading to the integration of AI and Robotics into a cohesive field (Rajan and Saffiotti, 2017).
Selected E-Books:
Robotics: Industry 4. 0 Issues and New Intelligent Control Paradigms by
Biologically Inspired Robotics by
Robotics and Automation in Industry 4.0: Smart Industries and Intelligent Technologies by
International Standards:
ISO 10218-1:2011, Robots and robotic devices — Safety requirements for industrial robots — Part 1: Robots
Scope:
ISO 10218-1:2011 specifies requirements and guidelines for the inherent safe design, protective measures and information for use of industrial robots. It describes basic hazards associated with robots and provides requirements to eliminate, or adequately reduce, the risks associated with these hazards.
ISO 10218-1:2011 does not address the robot as a complete machine. Noise emission is generally not considered a significant hazard of the robot alone, and consequently noise is excluded from the scope of ISO 10218-1:2011.
ISO 10218-1:2011 does not apply to non‑industrial robots, although the safety principles established in ISO 10218 can be utilized for these other robots.
ISO 10218-2:2011, Robots and robotic devices — Safety requirements for industrial robots — Part 2: Robot systems and integration
Scope:
ISO 10218-2:2011 specifies safety requirements for the integration of industrial robots and industrial robot systems as defined in ISO 10218-1, and industrial robot cell(s). The integration includes the following: the design, manufacturing, installation, operation, maintenance and decommissioning of the industrial robot system or cell; necessary information for the design, manufacturing, installation, operation, maintenance and decommissioning of the industrial robot system or cell; component devices of the industrial robot system or cell.
ISO 10218-2:2011 describes the basic hazards and hazardous situations identified with these systems, and provides requirements to eliminate or adequately reduce the risks associated with these hazards. ISO 10218-2:2011 also specifies requirements for the industrial robot system as part of an integrated manufacturing system. ISO 10218-2:2011 does not deal specifically with hazards associated with processes (e.g. laser radiation, ejected chips, welding smoke). Other standards can be applicable to these process hazards.
ISO/IEC 22989:2022, Information technology — Artificial intelligence — Artificial intelligence concepts and terminology
Scope:
This document establishes terminology for AI and describes concepts in the field of AI.
This document can be used in the development of other standards and in support of communications among diverse, interested parties or stakeholders.
This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations).
ISO/IEC 23053:2022, Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
Scope:
This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML technology. The framework describes the system components and their functions in the AI ecosystem. This document is applicable to all types and sizes of organizations, including public and private companies, government entities, and not-for-profit organizations, that are implementing or using AI systems.
ISO/IEC 23894:2023, Information technology — Artificial intelligence — Guidance on risk management
Scope:
This document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial intelligence (AI) can manage risk specifically related to AI. The guidance also aims to assist organizations to integrate risk management into their AI-related activities and functions. It moreover describes processes for the effective implementation and integration of AI risk management.
The application of this guidance can be customized to any organization and its context.
For further exploration on this topic, you can search the library's catalogue and online databases to discover a wealth of additional resources.
Advances and Applications
- Healthcare:
AI and Robotics are revolutionizing healthcare by assisting in surgeries, rehabilitation, and elder care. Robots equipped with AI can perform precise operations and monitor patients, reducing the workload on healthcare professionals (Rajan and Saffiotti, 2017).
- Manufacturing:
Intelligent robots are transforming manufacturing processes by performing tasks with high precision and adaptability. AI enables these robots to learn and optimize their operations, leading to increased efficiency and reduced costs (Soori et al., 2023).
- Service Industry:
AI-powered robots are being deployed in various service sectors, including hospitality and retail, to improve customer experiences through personalized interactions and efficient service delivery (Rajan and Saffiotti, 2017).
Challenges and Future Directions
Despite significant advancements, several challenges remain:
- Uncertainty and Complexity: Robots must operate in unpredictable environments and handle incomplete and conflicting information. Developing robust AI algorithms to manage these uncertainties is crucial (Rajan and Saffiotti, 2017).
- Ethical and Social Implications: The widespread adoption of AI and Robotics raises ethical concerns, including job displacement and privacy issues. Addressing these concerns through thoughtful policy and design is essential (Soori et al., 2023).
- Interdisciplinary Collaboration: Effective integration of AI and Robotics requires collaboration across various disciplines, including computer science, mechanical engineering, and cognitive science (Rajan and Saffiotti, 2017).
The fusion of AI and Robotics is set to revolutionize multiple industries, offering solutions to complex problems and enhancing human capabilities. The AJL is committed to providing the best resources to support your research and learning in these dynamic fields. Dive into our collection, explore the latest research, and be a part of the technological revolution that is reshaping our world.
Discover a world of knowledge by exploring the Alma Jordan Library’s catalogue at at - https://libraries.sta.uwi.edu/uwilinc. Don’t miss the chance to visit the Engineering Division of the Alma Jordan Library, where you can immerse yourself in our informative display on Robotics and browse or check out the books on display.
References
Rajan, Kanna, and Alessandro Saffiotti. 2017. "Towards a Science of Integrated Ai and Robotics." Artificial Intelligence 247: 1-9. https://doi.org/https://doi.org/10.1016/j.artint.2017.03.003.
Soori, Mohsen, Behrooz Arezoo, and Roza Dastres. 2023. "Artificial Intelligence, Machine Learning and Deep Learning in Advanced Robotics, a Review." Cognitive Robotics 3: 54-70. https://doi.org/https://doi.org/10.1016/j.cogr.2023.04.001.
As our reliance on digital technology increases, so do the risks associated with cybersecurity. For students and faculty at The UWI St Augustine Campus, understanding these risks and learning how to mitigate them is essential. This blog post will explore the importance of cybersecurity, provide practical tips, and highlight resources available at the Alma Jordan Library to help you stay safe online.
Why Cybersecurity Matters?
Cybersecurity is critical because our personal and professional lives are increasingly intertwined with digital technologies. According to Craigen, Diakun-Thibault, and Purse (2014), cybersecurity encompasses the protection of cyberspace and cyberspace-enabled systems from occurrences that misalign legal and actual property rights. This definition underscores the multidimensional nature of cybersecurity, which includes technical, organizational, economic, social, and political aspects.
Common Cyber Threats
Phishing Attacks: These attacks often involve fraudulent emails that appear to be from legitimate sources. The goal is to trick recipients into providing sensitive information, such as passwords or credit card numbers. For example, a student might receive an email that looks like it’s from their university, asking them to reset their password, only to have their information stolen.
Tips for Enhancing Cybersecurity Awareness
Selected E-books
Understanding and practising good cybersecurity habits is essential for protecting yourself and the university community. You can enhance your cybersecurity awareness and resilience by staying informed about the latest threats and utilizing the resources available at the Alma Jordan Library. Discover our selected e-books on cybersecurity below, and don't forget to explore the library's catalogue and databases for even more insightful e-books and journals on this crucial topic.
Cybersecurity Awareness Course
The UWI's Centre for Information Technology Services (CITS) provides a Cybersecurity Awareness Course tailored to enhance the security awareness of both faculty and students. This programme aims to educate participants on the recommended methods for maintaining safety and safeguarding institutional information. The curriculum covers topics, including identifying phishing scams, securing devices, creating robust passwords and understanding the potential risks associated with social media and internet usage. By completing this course, faculty and students will be better prepared to defend against cyber threats and contribute to establishing a digital environment at UWI. For more information on this course, visit; https://sta.uwi.edu/cits/cybersecurity-awareness-course
References
Alharbi, Talal, and Asifa Tassaddiq. 2021. "Assessment of Cybersecurity Awareness among Students of Majmaah University." Big Data and Cognitive Computing 5 (2): 23.
Craigen, Dan, Nadia Diakun-Thibault, and Randy Purse. 2014. "Defining Cybersecurity." Technology innovation management review 4 (10).
Florackis, Chris, Christodoulos Louca, Roni Michaely, and Michael Weber. 2023. "Cybersecurity Risk." The Review of Financial Studies 36 (1): 351-407.
Peker, Yesem Kurt, Lydia Ray, Stephanie Da Silva, Nathaniel Gibson, and Christopher Lamberson. "Raising Cybersecurity Awareness among College Students." 2016.