As social robots and the artificial intelligence (AI) that powers them become more advanced, they will likely take on more social and work roles. There is a variety of ways social robots can be engaged in human life, and they can leave an impact in terms of ease of use, productivity, and human support. The interactivity and receptivity of social robots can encourage humans to form social relationships with them. But now robots are intended to perform socially intelligent and interactive services like reception, guidance, emotional companionship, and more, which makes social human-robot interaction essential to help improve aspects of quality of life as well as to improve the efficiency of human care services.

AI-Enabled Social Robotics in Human Care Services addresses recent advances in the latest technologies, new research results, and developments in the area of social robotics and AI and the latest developments in the field and future directions that can be beneficial to human society and human care services. Covering topics such as agriculture waste management systems, elder care, and facial emotion recognition, this premier reference source is an essential resource for AI professionals, computer scientists, robotics engineers, human care professionals, students and educators of higher education, librarians, researchers, and academicians.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Agriculture Waste Management Systems
Artificial Intelligence (AI)
Autonomous Navigation
Computation Psychometrics
Deep Learning
Elder Care
Facial Emotion Recognition
Fused Deposition Modelling (FDM)
Industrial Robotics
Machine Learning
Spatial Research

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Editor/Author Biographies

Sandeep Kautish is an academician by choice and comes along with 18+ Years of work experience in academics including about 09 years in academic administration in various institutions in India and abroad. He earned his bachelor's, master's, and doctorate degrees in Computer Science on Intelligent Systems in Social Networks. He holds a Diploma in Management also. His areas of research interest are Decision Support Systems, Business Analytics, Machine Learning, Data Mining, and Information Systems. He has 46 publications in his Scopus account and his research works have been published in reputed journals i.e. Springer, Elsevier, Taylor & Francis, Hindawi, and IGI Global with high impact factor and SCI/SCIE/Scopus/WoS index. His research papers can be found at IEEE Transaction on Industrial Informatics (Impact Factor: 10.215), IEEE Access (SCI, Impact Factor: 3.715), Computer Standard & Interface (SCI, Elsevier, Impact Factor: 3.721), Journal of Ambient Intelligence and Humanized Computing (SCIE, Springer, Impact Factor: 3.662)), Wireless Personal Communications (SCIE, Springer, Impact Factor: 2.017), Multimedia Tools and Applications (Springer, SCIE, Impact Factor: 2.577).

Nirbhay Kumar Chaubey (SMIEEE, SMACM, LMCSI) received his Ph.D in Computer Science from Gujarat University, Ahmedabad, India. He is currently an Associate Professor of Computer Science at S.S.Agrawal Institute of Computer Science, Navsari (Code 554), Gujarat Technological University (GTU), Ahmedabad, Gujarat, India. Before that, he was working as an Assistant Professor of Computer Science, at Institute of Science & Technology for Advanced Studies & Research (ISTAR), Vallabh Vidyanagar, Gujarat Technological University, Ahmedabad, Gujarat, India. His research interests lie in the areas of wireless networks, Quantum Computing, Cyber Security, Cloud Computing, Mobile Computing and Sensor Network etc. He has published several research papers in peered reviewed International Journals and Conferences and has been a member of editorial board, technical program committee, reviewer for various Transactions and Journal of Computers and Communications. Chaubey received IEEE Outstanding Volunteer Award- Year 2015(Asia Pacific), Gujarat Technological University Pedagogical Innovation Awards (PIA) -2015, IEEE Outstanding Branch Counselor Award - Year 2010 (Asia Pacific).

S B Goyal had completed PhD in the Computer Science & Engineering in 2012 from India and served many institutions in many different academic and administrative positions. He is holding 19+ years experience at national and international level. He has peerless inquisitiveness and enthusiasm to get abreast with the latest development in the IT field. He has good command over Industry Revolution (IR) 4.0 technologies like Big-Data, Data Science, Artificial Intelligence & Blockchain, computer networking, deep learning etc. He is the first one to introduce IR 4.0 including Blockchain technology in the academic curriculum in Malaysian Universities.He had participated in many panel discussions on IR 4.0 technologies at academia as well as industry platforms. He is holding 19+ years’ experience in academia at National & International level. He is serving as a reviewer or guest editors in many Journals published by Inderscience, IGI Global, Springer. He is contributing as a Co-Editor in many Scopus books. He had contributed in many Scopus/ SCI Journal/ conferences. Currently, Dr Goyal is associated as a Director, Faculty of Information Technology, City University, MALAYSIA.

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