Cognitive Computing for Human-Robot Interaction
Principles and Practices
- 418 pages
- English
- ePUB (mobile friendly)
- Only available on web
Cognitive Computing for Human-Robot Interaction
Principles and Practices
About This Book
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 humanârobot 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.
- Introduces several new contributions to the representation and management of humans in an autonomous robotic system
- Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society
- Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario
Frequently asked questions
Information
Table of contents
- 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
- Chapter 2. Recent trends towards cognitive science: from robots to humanoids
- Chapter 3. Cognitive computing in human activity recognition with a focus on healthcare
- Chapter 4. Deep learning-based cognitive state prediction analysis using brain wave signal
- Chapter 5. Electroencephalogram-based cognitive performance evaluation for mental arithmetic task
- Chapter 6. Trust or no trust in chatbots: a dilemma of millennial
- Chapter 7. Cognitive computing in autonomous vehicles
- Chapter 8. Optimized navigation using deep learning technique for automatic guided vehicle
- Chapter 9. Vehicular middleware and heuristic approaches for intelligent transportation system of smart cities
- Chapter 10. Error Traceability and Error Prediction using Machine Learning Techniques to Improve the Quality of Vehicle Modeling in Computer-Aided Engineering
- Chapter 11. All about human-robot interaction
- Chapter 12. Teleportation of human body kinematics for a tangible humanoid robot control
- Chapter 13. Recognition of trivial humanoid group event using clustering and higher order local auto-correlation techniques
- Chapter 14. Understanding the hand gesture command to visual attention model for mobile robot navigation: service robots in domestic environment
- Chapter 15. Mobile robot for air quality monitoring of landfilling sites using Internet of Things
- Chapter 16. Artificial Intelligence and Internet of Things readiness: inclination for hotels to support a sustainable environment
- Chapter 17. Design and fabrication of an automatic classifying smart trash bin based on Internet of Things
- Index