Cognitive Computing for Human-Robot Interaction

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.

Autorentext
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. 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. 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

Inhalt

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…