Cognitive Computing for Human-Robot Interaction

Principles and Practices

1st Edition - August 13, 2021
Editors: Mamta Mittal, Rajiv Ratn Shah, Sudipta Roy
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 7 6 9 - 7
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 6 4 7 - 8

Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-her… Read more

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Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications.

This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications.

This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning.

Key features:

Introduces several new contributions to the representation and management of humans in autonomous robotic systems;
Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society;
Engages with the potential repercussions of cognitive computing and HRI in the real world.

Cover image
Title page
Table of Contents
Copyright
List of contributors
About the editors
Preface
Chapter 1. Introduction to cognitive computing and its various applications
Abstract
Introduction
Cognitive computing overview
Cognitive computing challenges
Cognitive computing application in financial and investment firms
Cognitive computing application for changing business values
Cognitive computing in veterinary medicine
Cognitive computing application in health and wellness
Cognitive computing application in travel and tourism
Cognitive computing application in education and learning
Cognitive computing in agriculture
Cognitive computing in communication and network technology
Cognitive computing in renewable energy
Conclusion
References
Further reading
Chapter 2. Recent trends towards cognitive science: from robots to humanoids
Abstract
Introduction
How cognitive computing works
Functions of the cognitive computing
Cognitive computing architecture
Human–computer interaction
Cognitive robotics
Cognition for human–robot interaction
Application of cognitive computing
Conclusion
References
Chapter 3. Cognitive computing in human activity recognition with a focus on healthcare
Abstract
Introduction
Human activity recognition
Applications of healthcare robot services
Place of robots in healthcare
Future scope and limitations of cognitive computing in healthcare
Conclusions
References
Chapter 4. Deep learning-based cognitive state prediction analysis using brain wave signal
Abstract
Introduction
Materials and methods
Proposed methodology
Experimental results and discussions
Concluding remarks and future recommendations
References
Chapter 5. Electroencephalogram-based cognitive performance evaluation for mental arithmetic task
Abstract
Introduction
Previous works
Proposed methodology
Results and discussions
Conclusion and future scope
References
Chapter 6. Trust or no trust in chatbots: a dilemma of millennial
Abstract
Introduction
Literature review
Methodology
Result and discussion
Conclusion
Limitations
References
Further reading
Chapter 7. Cognitive computing in autonomous vehicles
Abstract
Introduction
Introduction to autonomous driving
Cognitive computing algorithms in the development of AVs
Conclusion, discussion, and further research
References
Further reading
Chapter 8. Optimized navigation using deep learning technique for automatic guided vehicle
Abstract
Introduction
Literature review
Proposed methodology
Result analysis and discussion
Conclusion and future perspective
References
Chapter 9. Vehicular middleware and heuristic approaches for intelligent transportation system of smart cities
Abstract
Introduction
Development of VANET
Middleware technology
Heuristic search techniques
Reviews of middleware approaches
Reviews of heuristic approaches
Conclusion and future scope
References
Chapter 10. Error Traceability and Error Prediction using Machine Learning Techniques to Improve the Quality of Vehicle Modeling in Computer-Aided Engineering
Abstract
Introduction
Literature survey
Techniques of AI in mechanical engineering
Understanding CAE processes
Implementation
Conceptual design phase
Candidate configurations
Interacting with ANSA using API functions
Conclusion
References
Chapter 11. All about human-robot interaction
Abstract
Introduction
Understanding human-robot interaction and human-computer interaction
Framework for human-robot interaction
Discussion
Concluding remarks
References
Further reading
Chapter 12. Teleportation of human body kinematics for a tangible humanoid robot control
Abstract
Introduction
Literature survey and related works
Fundamentals
Method
Results and discussion
Conclusion
References
Chapter 13. Recognition of trivial humanoid group event using clustering and higher order local auto-correlation techniques
Abstract
Introduction
Literature survey
Methodology
Results
Completed local binary pattern
Higher order local auto-correlation
Spatial gray level difference method
Local group activity (LGA) descriptor
Convolution neural network (CNN)
Experimental results
Conclusion
References
Chapter 14. Understanding the hand gesture command to visual attention model for mobile robot navigation: service robots in domestic environment
Abstract
Introduction
Human–robot interaction
Hand gesture recognition
Proposed design
Results
Conclusion
References
Chapter 15. Mobile robot for air quality monitoring of landfilling sites using Internet of Things
Abstract
Introduction
Prior art
Proposed architecture
3D Design of mobile robot
Results
Conclusion
References
Chapter 16. Artificial Intelligence and Internet of Things readiness: inclination for hotels to support a sustainable environment
Abstract
Introduction
Methodology
Key concept of sustainability in hotel industry
AI and IOT driven sustainability
Readiness for AI and IOT driven sustainability in hotel industry
Information technology and front of the house
Conclusion
References
Further reading
Chapter 17. Design and fabrication of an automatic classifying smart trash bin based on Internet of Things
Abstract
Introduction
General scheme design
System hardware design
System software design
Fabrication
Results and discussion
Conclusion
Declaration of conflicting interest
Credit authorship contribution statement
Acknowledgment
References
Index

Mamta Mittal

Dr. Mamta Mittal works as Head and Associate Professor (Data Analytics and Data Science) in Delhi Skill & Entrepreneurship University (under Government of NCT Delhi), New Delhi. She received a PhD in Computer Science and Engineering from Thapar University, Patiala; MTech (Honors) in Computer Science & Engineering from YMCA, Faridabad; and B. Tech in Computer Science & Engineering from Kurukshetra University, Kurukshetra, in 2001. She has been teaching for the last 18 years with emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr. Mittal is a lifetime member of CSI and published more than 80 research papers. She holds five patents, two of which have been granted copyrights, and three more published in the area of Artificial Intelligence, IoT and Deep Learning. Dr. Mittal has edited/authored many books with reputed publishers, and is working on DST approved Project “Development of IoT based hybrid navigation module for mid-sized autonomous vehicles”. Currently, she is guiding PhD scholars in Machine Learning, Computer Vision and Deep Learning areas. Dr. Mittal is Editorial Board member with Inder-Science, Bentham Science, Springer and Elsevier, handled Special issues, has chaired many Conferences.

Affiliations and expertise

Associate Professor (Data Analytics and Data Science) in Delhi Skill & Entrepreneurship University (under Government of NCT Delhi), New Delhi

Rajiv Ratn Shah

Rajiv Ratn Shah currently works as an Assistant Professor in the Department of Computer Science and Engineering (joint appointment with the Department of Human-centered Design) at IIIT-Delhi. He is also the director of the MIDAS Lab at IIIT-Delhi. He received his Ph.D. in computer science from the National University of Singapore (NUS), Singapore. Before joining IIIT-Delhi, he worked as a Research Fellow in Living Analytics Research Center (LARC) at the Singapore Management University (SMU), Singapore. Prior to completing his Ph.D., he received his M.Tech. and M.C.A. degrees in Computer Applications from the Delhi Technological University (DTU), Delhi and Jawaharlal Nehru University (JNU), Delhi, respectively. He has also received his B.Sc. in Mathematics (Honors) from the Banaras Hindu University (BHU), Varanasi. Dr. Shah is the recipient of several awards, including the prestigious Heidelberg Laureate Forum (HLF) and European Research Consortium for Informatics and Mathematics (ERCIM) fellowships. He won the best student poster award in 33rd AAAI Conference on Artificial Intelligence at Hawaii, USA and won the best poster runner up award in 20th IEEE International Symposium on Multimedia (ISM) conference at Taichung, Taiwan. Recently, we also won the best poster and best industry paper awards at 5th IEEE International Conference on Multimedia Big Data (BigMM) conference. He is also the winner of 1st ACM India Student Chapter Grand Challenge 2019. He has also received the best paper award in the IWGS workshop at the ACM SIGSPATIAL conference 2016, San Francisco, USA and was runner-up in the Grand Challenge competition of ACM International Conference on Multimedia 2015, Brisbane, Australia. He is involved in organizing and reviewing of many top-tier international conferences and journals. He is TPC co-chair for IEEE BigMM 2019 and BigMM 2020. He has also organized the Multimodal Representation, Retrieval, and Analysis of Multimedia Content (MR2AMC) workshop in the conjunction of the first IEEE MIPR 2018 and 20th IEEE ISM conferences. His research interests include multimedia content processing, natural language processing, image processing, multimodal computing, data science, social media computing, and the internet of things.

Affiliations and expertise

Assistant Professor in the Department of Computer Science and Engineering (joint appointment with the Department of Human-centered Design) at IIIT-Delhi

Sudipta Roy

Dr. Sudipta Roy received his Ph.D. in Computer Science & Engineering from the Department of Computer Science and Engineering, University of Calcutta. He is author of more than forty publications in refereed national / international journals and conferences. Dr. Roy holds a US patent in medical image processing, and filed an Indian patent in smart agricultural systems. Dr. Roy serves as an Associate Editor of IEEE Access, and IEEE and International Journal of Computer Vision and Image Processing (IJCVIP). His fields of research interest are biomedical image analysis, image processing, steganography, artificial intelligence, big data analysis, machine learning and big data technologies. Currently, he is a Research Associate at PRTTL, Washington University in St. Louis, Saint Louis, MO, USA

Affiliations and expertise

Research Associate, PRTTL, Washington University, Saint Louis, Missouri, USA

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Cognitive Computing for Human-Robot Interaction

Principles and Practices

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Institutional subscription on ScienceDirect

Mamta Mittal

Rajiv Ratn Shah

Sudipta Roy