Description
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.- 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
Table of Contents
1. Introduction to cognitive computing and its various applications Sushila Palwe and Anita Gunjal2. Recent trends towards cognitive science: from robots to humanized robotsKatiyar Sarthak and Katiyar Kalpana3. Cognitive compyuting in human activity recognition by healthcare robotsS. Ravi Shankar, Gopi Battineni, and Mamta Mittal4. Deep learning-based cognitive state prediction analysis using brain wave signalsD. Devi, S. Sophia, and S.R. Boselin Pabhu5. EEG-based cognitive performance evaluations for mental arithmetic tasksDebatri Chatterjee, Rahul Gavas, Roopkatha Samanta, and Sanjoy Kumar Saha6. Trust or no trust in chat-bots: a millennial dilemmaShivani Agarwal7. Cognitive computing in autonomous vehiclesAtharva Sandeep Vidwans8. Optimized navigation using deep learning techniques for automatic guided vehiclesAnubha Parashar, Apoorva Parashar, and Lalit Mohan Goyal9. Vehicular middleware and heuristic approaches for ITS systems of smart citiesRajender Kumar, Ravinder Khanna, and Surender Kumar10. Error traceability and error prediction using machine learning techniques to improve the quality of vehicle modeling in computer-aided engineeringA. Anny Leema, Krishna Sai Narayana, and Subramani Sellaman11. All about human-robot interactionKiran Jot Singh, Divneet Singh Kapoor, and Balwinder Singh Sohi12. Teleportation of human body kinematicss for a tangible humanoid robot controlTutan Nama and Suman Deb13. Recognition of trivial humanoid group events using clustering and higher order local auto-correlation techniquesK. Seemanthini and S.S. Manjunath14. Understanding the hand gesture command to visual attention model for mobile robot navigation: service robots in the domestic environmentE.D.G. Sanjeewa, K.K.L. Herath, B.G.D.A. Madhusanka, H.D.N.S. Priyankara, and H.M.K.K.M.B. Herath15. Mobile robots for air quality monitoring of landfill sites using the Internet of ThingsRajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Prabin Kumar Das, and Sushabhan Choudhury16. Artificial intelligence and Internet of Things readiness: the inclination for hotels to support a sustainable envoronmentMudita Sinha, Leena N. Fukey, Ashutosh Sinha17. Design and fabrication of a new multi-function smart trash bin based on the Internet of Things Bo Sun, Quanjin Ma, Hao Yao, Zidong Yang, Da Peng, and M.R.M.Rejab
