The 21st century industrial robot : when tools became collaborators / / Maria Isabel Aldinhas Ferreira, Sarah R. Fletcher, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (286 pages) |
Disciplina | 670.4272 |
Collana | International Series on Intelligent Systems, Control and Automation-Science and Engineering |
Soggetto topico |
Robots, Industrial
Human-robot interaction |
ISBN | 3-030-78513-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- On Human Condition: The Status of Work -- 1 Introduction -- 2 The Key Elements of a Universal Existential Framework and the Specificity of Human Cognition -- 3 Work as a Human Endowment -- 4 When Tools Become Autonomous: The Ontological Shift -- 5 The Future of Work/The Work of the Future: The Way Forward -- References -- Human Robot Collaboration in Industrial Environments -- 1 Introduction -- 2 Current State -- 2.1 Human-Robot Collaborative Tasks -- 2.2 Human Robot Interaction Types -- 2.3 Collaborative Robots and HRC -- 3 Future Trends and Transformations -- 3.1 Novel Interaction Means -- 4 Conclusion -- References -- Participatory Approach to Commissioning Collaborative Industrial Robot Systems -- 1 Introduction -- 2 Psychological Health and Safety Aspects Inhibiting Technology Acceptance -- 2.1 Physical and Psychological Protection -- 2.2 Lack of Participation -- 2.3 Lack of Communication -- 2.4 Lack of Training -- 3 Opportunities for Worker Consultation and Participation -- 3.1 Leadership, Communication and Participation of Workers -- 3.2 Task Selection and Planning -- 3.3 Risk Assessment -- 3.4 Knowledge and Skill Development -- 3.5 Robot System Verification and Validation -- 3.6 Conclusion -- References -- Robot Inference of Human States: Performance and Transparency in Physical Collaboration -- 1 Introduction -- 2 Interactive Robots -- 2.1 Robot as Tools -- 2.2 Robots which infer -- 2.3 Dangers of Inference -- 3 From Agent to Team -- 3.1 I Work Alone -- 3.2 Collaborative Objectives -- 3.3 Robots as Students -- 4 Conclusion -- References -- Human-Robot Collaboration Using Visual Cues for Communication -- 1 Introduction -- 2 Why Do We Need Communication Between Humans and Robots? -- 3 What Information Needs to Be Communicated in Manufacturing? -- 3.1 Free Flow Approach.
3.2 Structured Approach -- 4 How Can Communication Affect User Work and Wellbeing? -- 4.1 Laboratory Test -- 4.2 Field Study -- 5 What the Future Holds -- References -- Trust in Industrial Human-Robot Collaboration -- 1 Introduction to Trust -- 2 Trust Literature Review -- 2.1 Generic Human-Automation Interactions -- 2.2 Human-Robot Interactions -- 3 Industrial Human-Robot Collaboration -- 4 Measuring Trust in Industrial Human-Robot Collaboration -- 4.1 Development of the Trust Scale -- 5 Conclusion -- References -- Adapting Autonomy and Personalisation in Collaborative Human-Robot Systems -- 1 Introduction -- 2 The Current State in the Adaptive and Smart Manufacturing Systems Domain -- 3 Projects Overview by EFFRA Portal -- 4 ACE Factories Cluster -- 4.1 Human-Centricity in ACE Factories Projects -- 5 A4BLUE Project -- 5.1 Reference architecture (RA)-The current 'State of the Art' (SoA) in Manufacturing workplace -- 5.2 Development of Architecture-How Was the A4BLUE-RA Developed? -- 6 Future Trends and Transformations -- 7 Conclusions -- References -- Designing Robot Assistance to Optimize Operator Acceptance -- 1 Short Introduction to CESA -- 2 Characteristics of an Aeronautical Company Production -- 3 A4BLUE Project -- 4 Identifying Users Requirements and Needs -- 5 Use Case: Manual Deburring of a Titanium Part -- 6 Solution: A Collaborative Robotic Cell -- 7 Implementation Process -- 8 Workers' Opinions on the Final Robotic Solution -- 9 Assessment of the Robot -- 9.1 Participants -- 9.2 Materials and Analysis -- 9.3 Procedure -- 9.4 Results -- 10 Conclusion -- References -- The Role of Standards in Human-Robot Integration Safety -- 1 Introduction -- 2 Current State -- 2.1 What Are Industry Standards? -- 2.2 Important Concepts for Understanding Standards -- 2.3 History of Standards Development for Industrial Robots. 2.4 Philosophies of Standards Development -- 2.5 Impact of Industry Standards on the Marketplace -- 2.6 Standards Organizations -- 2.7 Current Industry Standards Governing Human-Robot Collaboration -- 2.8 Industry Standards in Development Concerning Industrial HRC -- 3 Future Trends and Transformations -- 3.1 Anticipating the Market's Future Needs for Industry Standards Concerning Industrial HRC -- 3.2 Technological Trends Likely to Impact Industrial HRC in the Next 5 years -- 3.3 How Might These Trends Affect Industrial Workplaces, Workforces, Teams, and Individuals? -- 3.4 How Might These Trends Affect Industrial HRC Standards? -- 4 Conclusion -- References -- Engineering a Safe Collaborative Application -- 1 Collaborative Robots -- 2 Risk Assessment Strategy -- 3 Contact Events -- 4 Contact Thresholds -- 5 HRC Risk Assessment -- 6 Design -- 7 Validation -- 8 Additional Risk Reduction -- 9 Conclusion -- References -- Challenges in the Safety-Security Co-Assurance of Collaborative Industrial Robots -- 1 Introduction -- 1.1 General Approaches to Safety and Security -- 1.2 Illustrative Example: The Cobot -- 2 Cobot Safety -- 2.1 Analysing Safety Risks in Cobot Settings -- 2.2 Handling Safety Risks in Cobot Settings -- 2.3 Risk Analysis and Handling in a Cobot Example -- 2.4 Recent Challenges in Cobot Safety -- 3 Security -- 3.1 Threat analysis -- 3.2 Review of Existing Security Approaches -- 3.3 Application to Cobots -- 3.4 Challenges for Cobot Security -- 4 Cobot Co-Assurance -- 4.1 Socio-technical Challenges -- 4.2 Technical Challenges -- 4.3 Conclusion -- References -- Task Allocation: Contemporary Methods for Assigning Human-Robot Roles -- 1 Introduction -- 2 Current State -- 2.1 Planning Requirements for HRC Environments -- 2.2 Modeling Aspects of the Planning -- 2.3 Decision Making Approaches -- 2.4 Industrial Examples. 3 Future Trends and Transformations -- 3.1 Digital Twins and Task Planning -- 3.2 AI for Resource Suitability Calculation -- 3.3 Ergonomy and Safety Considerations in Task Planning -- 4 Conclusion -- References -- Implementing Effective Speed and Separation Monitoring with Legacy Industrial Robots-State of the Art, Issues, and the Way Forward -- 1 Introduction -- 2 Current State -- 2.1 Novelty of SSM Standards Specifications -- 2.2 Difficulties in Implementing SSM in Legacy Robot Control and Safety Architectures -- 2.3 Issues with Safe Sensing for SSM Implementations -- 3 Future Trends and Transformations -- 3.1 New Safety Sensing Architectures -- 3.2 Safe Vision and Perception Algorithms -- 3.3 SSM Implementations Using Available Robot Control Functions -- 3.4 Future Work and Collaboration with Robot Manufacturers -- 4 Conclusion -- References -- Ethical Aspects of Human-Robot Collaboration in Industrial Work Settings -- 1 Introduction -- 2 Ethics of Collaborative Robots in Industrial Settings: Current State of the Art -- 3 Identifying Gaps to Address in the Future of Human-Robot Collaboration -- 3.1 Imposing on Work Routines -- 3.2 The Need to Focus on Emotions -- 3.3 Performance Monitoring -- 3.4 Asymmetry in Power -- 3.5 Collaborative Robots and Sociotechnical Systems -- 4 Conclusion -- References -- Robots and the Workplace: The Contribution of Technology Assessment to Their Impact on Work and Employment -- 1 Introduction -- 2 Technology, Robotics and Employment -- 3 Robotics, Automation and the Task of Technology Assessment -- 4 Robotics and the Contextual Challenges of Technology Assessment -- 5 Conclusion -- References. |
Record Nr. | UNINA-9910522965603321 |
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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csmart is your city? : technological innovation, ethics and inclusiveness / / Maria Isabel Aldinhas Ferreira, editor |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XX, 168 p. 54 illus., 48 illus. in color.) |
Disciplina | 307.760285 |
Collana | International series on intelligent systems, control and automation--science and engineering |
Soggetto topico |
Smart cities
Computational intelligence |
ISBN | 3-030-56926-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. The Smart City: The Exponent of a Civilization Transition in the Context of a Global Crisis -- Chapter 2. The Right to the City: The Right to Live with Dignity -- Chapter 3. There’s More than One Kind of “smart”: Big Data, Affect and Empathy in the City -- Chapter 4. Acting Smart: An Experimental Approach to Architecture, Performance Art and ICT -- Chapter 5. Leveraging the Use of Digital Technologies to Activate Public Areas and Foster Creativity -- Chapter 6. Algorithmic Cities: A Dystopic or Utopic Future? -- Chapter 7. Robots and Smart Cities -- Chapter 8. Technological Approaches to Cultural Heritage – Lessons from ROCK -- Chapter 9. Digital Social Markets: Exploring the Opportunities and Impacts of Gamification and Reward Mechanisms in Citizen Engagement and Smart City Services -- Chapter 10. GrowSmarter Stockholm -- Chapter 11. Creating a Smart Ecosystem in Lisbon -- Chapter 12. Being Smart in a Crisis Context: Ethical Paradoxes. . |
Record Nr. | UNINA-9910483947003321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Towards trustworthy artificial intelligent systems / / edited by Maria Isabel Aldinhas Ferreira, Mohammad Osman Tokhi |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (204 pages) |
Disciplina | 060 |
Collana | Intelligent Systems, Control and Automation: Science and Engineering |
Soggetto topico | Artificial intelligence |
ISBN | 3-031-09823-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- Artificial Intelligence: A Concept Under-Construction, A Reality Under-Development -- 1 A Concept Under-Construction -- 2 Natural Cognition: What Does [Intelligence] Stand for? -- 2.1 Basic Assumptions -- 2.2 The Three Common Key Existential Factors -- 2.3 The Specificity of Human Cognition -- 2.4 Representing Life Dynamics: The Need for a Non-mechanistic Approach -- 3 The Task of Replicating Intelligence -- 3.1 First Steps and the Way Forward -- 3.2 The Natural, the Artificial and Their Hybrid Forms -- 3.3 When Algorithms Couple with Data: The Digital Umwelt -- 4 Conclusion -- References -- In Machines We Trust? -- 1 Introduction -- 2 The Biological Roots of Trust -- 3 Trusting: The Glue of Interpersonal Relationships -- 4 The Concept of [Trust]: Defining Semantic Boundaries and Scope of Reference -- 5 Trusting Products -- 5.1 General Framework -- 5.2 The Case of Artificial Intelligent Systems -- 5.3 The Role of Benchmarking, Standardisation and Certification -- 5.4 Certification -- 6 Conclusions -- References -- Informational Privacy and Trust in Autonomous Intelligent Systems -- 1 Introduction -- 2 GDPR and Its Aims -- 3 GDPR & -- AIS-Case Examples -- 3.1 Ex-Ante Obligations: TOMs and DPIAs -- 3.2 Automated Decision Making -- 3.3 Transatlantic Transfers of Personal Data -- 4 Conclusions -- Reference -- Ethical Risk Assessment for Social Robots: Case Studies in Smart Robot Toys -- 1 Introduction -- 2 Ethical Risk Assessment -- 3 Case Study with a Fictional Smart Toy: RoboTed -- 3.1 Physical Risks -- 3.2 Psychological Risks -- 3.3 Privacy and Security Risks -- 3.4 Environmental Risks -- 3.5 Discussion of ERA for RoboTed -- 4 Case Study with Existing Smart Toy: Purrble -- 4.1 Physical Risks -- 4.2 Psychological Risks -- 4.3 Privacy and Security Risks -- 4.4 Environmental Risks.
4.5 Discussion of ERA for Purrble -- 5 Discussion and Conclusions -- References -- Practical and Open Source Best Practices for Ethical Machine Learning -- 1 Introduction -- 2 Ethical Machine Learning -- 3 Best Practices in Machine Learning -- 3.1 Definition and Scope -- 3.2 Technical and Organisational BP -- 4 Conclusion -- References -- Recruitment AI Has a Disability Problem: Anticipating and Mitigating Unfair Automated Hiring Decisions -- 1 Introduction -- 2 Disability Marginalisation and Employment -- 3 Recruitment AI -- 4 Exclusion by Design and Discriminatory Use -- 4.1 Biased Systems -- 4.2 Improper Implementation and Use -- 5 AI on the Market: The Risks of Discrimination -- 5.1 ATS and CRM Systems -- 5.2 CV/Resume Screeners -- 5.3 Conversational Agents -- 5.4 Pre-employment Assessments -- 5.5 AI Interviewing -- 6 Intervention Recommendations -- 6.1 Executive Level Stakeholders -- 6.2 Human Resources Stakeholders -- 6.3 Procurement Stakeholders -- 6.4 Information Technology Stakeholders -- References -- Developing and Evaluating Complex Interventions: The Case of Robotic Systems in Cognitive Rehabilitation Therapy -- 1 Introduction -- 2 Complex Interventions: Definition and Scope -- 3 Robotics in Cognitive Rehabilitation Therapy (CRT) -- 4 Conclusions -- References -- COVID-19 Contact Tracing Applications in Portugal: Effectiveness and Privacy Issues -- 1 Introduction -- 2 COVID-19 Smartphone-Based Contact Tracing in Portugal -- 3 Contact Tracing Technologies -- 4 Analysis and Conclusions -- References -- Robots That Look After Grandma? A Gerontechnology Point of View -- 1 Robots That Look After Grandma -- 2 Gerontechnology, the Intersection Between Technology and Aging -- 3 Robots Used in Caring for Older Adults in Everyday Lives At Home -- 4 Building Ambient Intelligence to Support Older Adults and Caregivers -- References. Making Maximally Ethical Decisions via Cognitive Likelihood and Formal Planning -- 1 Introduction -- 2 Cognitive Calculi -- 2.1 Deontic Cognitive Event Calculus -- 2.2 Inductive Deontic Cognitive Event Calculus -- 2.3 Cognitive Likelihood -- 3 Highly-Expressive Automated Planning -- 4 Selecting Plans Using Cognitive Likelihood -- 5 Case Study: The Miracle on the Hudson -- 5.1 Recounting US Airways Flight 1549 -- 5.2 The Setup -- 5.3 The Arguments -- 5.4 The Framework, Applied -- 6 Related Work -- 7 Conclusion -- References -- The (Uncomputable!) Meaning of Ethically Charged Natural Language, for Robots, and Us, from Hypergraphical Inferential Semantics -- 1 Introduction -- 2 A Household-Robot Case Study -- 3 Prior Framework for Engineering of Robots Rodney and Ralph -- 4 Montagovian/Model-Theoretic Approach to Meaning, Rejected -- 4.1 MTS in Summary -- 4.2 Two Fatal Defects in Model-Theoretic Semantics -- 5 Proof-Theoretic Semantics (PTS) -- 5.1 The Basic Idea -- 5.2 But What About PTS for Natural Language? -- 6 Hypergraphical Inferential Semantics (mathscrH mathscrI mathscrS) -- 6.1 Intuitive Kernel of mathscrH mathscrI mathscrS via Buffalo-Buffalo-ellipsis… -- 6.2 Hypergraphical Natural Deduction -- 6.3 An Example: The Meaning of `Emma Helped' -- 7 Applying mathscrH mathscrI mathscrS to the Robot Case Study -- 8 Questions/Objections and Replies -- 8.1 Objection 1: Redundancies & -- Irrelevancies -- 8.2 Objection 2: Termination -- 8.3 Objection 3: How are Divine-command Theories and Codes Formalized? -- 8.4 Objection 4: OS-Level Ethical Controls Mysterious -- 9 Natural Language Understanding Is Provably Uncomputable -- 9.1 What of Prior and Related Work? -- 9.2 Descriptive Complexity -- 9.3 Computational Cognitive NLU -- 9.4 Computational Learning Theory -- 10 Future Work -- Further Objections -- References. Reinventing Kantian Autonomy for Artificial Agents: Implications for Self-driving Cars -- 1 Introduction -- 1.1 Robot Ethics as Applied Ethics -- 1.2 Agency -- 1.3 Moral Agency -- 1.4 Can Animals Be Moral Agents? -- 1.5 Autonomous Robots -- 2 Self-driving Vehicles -- 3 Conclusions -- References -- Realizing the Potential of AI in Africa: It All Turns on Trust -- 1 Introduction -- 2 The Benefits of AI Depend on Adoption and Trust -- 3 AI in Africa -- 4 Accelerating the Exploitation and Adoption of AI in Africa -- 5 The Downsides of AI -- 6 AI Education in Africa Is the Key to Progress -- 7 Conclusions -- References -- Index. |
Record Nr. | UNINA-9910592978803321 |
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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