Security and privacy issues related to the workplace-based security robot system

Issue title: Workplace Violence Prevention using Security Robots

Guest editors: Priyan Malarvizhi Kumar, Hari Mohan Pandey and Gautam Srivastava

Article type: Research Article

Authors: Guangnan, Zhang^a | Tao, Hai^{a; f} | Rahman, Md Arafatur^b | Yao, Liu^c | AL-Saffar, Ahmed^b | Meng, Qiao^d | Liu, Wei^d | Yaseen, Zaher Mundher^{e; *}

Affiliations: [a] School of Computer Science, Baoji University of Arts and Sciences, Baoji, China | [b] Faculty of Computing, IBM CoE, and Earth Resources and Sustainability Center, Universiti Malaysia Pahang, Pahang, Malaysia | [c] Faculty of Management Engineering, Huaiyin Institute of Technology, Huai’an, China | [d] School of Information Engineering, Chang’an University, Xi’an, China | [e] Institute of Research and Development, Duy Tan University, Da Nang, Vietnam | [f] Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Universiti Teknologi MARA, Shah Alam, Malaysia

Correspondence: [*] Address for correspondence: Zaher Mundher Yaseen, Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam. E-mail: [email protected].

Abstract: BACKGROUND:An isolated robot must take account of uncertainty in its world model and adapt its activities to take into account such as uncertainty. In the same way, a robot interaction with security and privacy issues (RISAPI) with people has to account for its confusion about the human internal state, as well as how this state will shift as humans respond to the robot. OBJECTIVES:This paper discusses RISAPI of our original work in the field, which shows how probabilistic planning and system theory algorithms in workplace robotic systems that work with people can allow for that reasoning using a security robot system. The problem is a general way as an incomplete knowledge 2-player game. RESULTS:In this general framework, the various hypotheses and these contribute to thrilling and complex robot behavior through real-time interaction, which transforms actual human subjects into a spectrum of production systems, robots, and care facilities. CONCLUSION:The models of the internal human situation, in which robots can be designed efficiently, are limited, and achieve optimal computational intractability in large, high-dimensional spaces. To achieve this, versatile, lightweight portrayals of the human inner state and modern algorithms offer great hope for reasoning.

Keywords: Inner state, complex robot, modern algorithms, spectrum

DOI: 10.3233/WOR-203421

Journal: Work, vol. 68, no. 3, pp. 871-879, 2021