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Cognitive Computing for Human-Robot Interaction
Principles and Practices
Characterizes the challenges and decisional issues that need to be addressed for a cognitive robot to share space and tasks with humans
Mamta Mittal (Edited by), Rajiv Ratn Shah (Edited by), Sudipta Roy (Edited by)
9780323857697, Elsevier Science
Paperback, published 18 August 2021
418 pages, Approx. 150 illustrations
22.9 x 15.1 x 2.6 cm, 0.68 kg
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:
1. Introduction to cognitive computing and its various applications Sushila Palwe and Anita Gunjal 2. Recent trends towards cognitive science: from robots to humanized robots Katiyar Sarthak and Katiyar Kalpana 3. Cognitive compyuting in human activity recognition by healthcare robots S. Ravi Shankar, Gopi Battineni, and Mamta Mittal 4. Deep learning-based cognitive state prediction analysis using brain wave signals D. Devi, S. Sophia, and S.R. Boselin Pabhu 5. EEG-based cognitive performance evaluations for mental arithmetic tasks Debatri Chatterjee, Rahul Gavas, Roopkatha Samanta, and Sanjoy Kumar Saha 6. Trust or no trust in chat-bots: a millennial dilemma Shivani Agarwal 7. Cognitive computing in autonomous vehicles Atharva Sandeep Vidwans 8. Optimized navigation using deep learning techniques for automatic guided vehicles Anubha Parashar, Apoorva Parashar, and Lalit Mohan Goyal 9. Vehicular middleware and heuristic approaches for ITS systems of smart cities Rajender Kumar, Ravinder Khanna, and Surender Kumar 10. Error traceability and error prediction using machine learning techniques to improve the quality of vehicle modeling in computer-aided engineering A. Anny Leema, Krishna Sai Narayana, and Subramani Sellaman 11. All about human-robot interaction Kiran Jot Singh, Divneet Singh Kapoor, and Balwinder Singh Sohi 12. Teleportation of human body kinematicss for a tangible humanoid robot control Tutan Nama and Suman Deb 13. Recognition of trivial humanoid group events using clustering and higher order local auto-correlation techniques K. Seemanthini and S.S. Manjunath 14. Understanding the hand gesture command to visual attention model for mobile robot navigation: service robots in the domestic environment E.D.G. Sanjeewa, K.K.L. Herath, B.G.D.A. Madhusanka, H.D.N.S. Priyankara, and H.M.K.K.M.B. Herath 15. Mobile robots for air quality monitoring of landfill sites using the Internet of Things Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Prabin Kumar Das, and Sushabhan Choudhury 16. Artificial intelligence and Internet of Things readiness: the inclination for hotels to support a sustainable envoronment Mudita Sinha, Leena N. Fukey, Ashutosh Sinha 17. 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
Subject Areas: Artificial intelligence [UYQ], Robotics [TJFM1]
