Affiliations: [a] School of Computer Science, Baoji University of Arts and Sciences, China
| [b] Faculty of Computing, IBM CoE, and Earth Resources and Sustainability Center, Universiti Malaysia Pahang, Pahang, Malaysia
| [c] School of Electronics Engineering and Computer Science, Peking University, Beijing, China
| [d] Institute of Research and Development, Duy Tan University, Da Nang, Vietnam | [e] Faculty of Computer and Mathematical Sciences, University Technology MARA, Shah Alam, Malaysia
| [f] Cyber security Program, Information Technology Department, Community College of Qatar, Doha, Qatar
| [g] Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Universiti Teknologi MARA, Shah Alam, Malaysia
Correspondence:
[*]
Address for correspondence: Sinan Q. Salih, Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam. E-mail: [email protected].
Abstract: BACKGROUND:Nowadays, workplace violence is found to be a mental health hazard and considered a crucial topic. The collaboration between robots and humans is increasing with the growth of Industry 4.0. Therefore, the first problem that must be solved is human-machine security. Ensuring the safety of human beings is one of the main aspects of human-robotic interaction. This is not just about preventing collisions within a shared space among human beings and robots; it includes all possible means of harm for an individual, from physical contact to unpleasant or dangerous psychological effects. OBJECTIVE:In this paper, Non-linear Adaptive Heuristic Mathematical Model (NAHMM) has been proposed for the prevention of workplace violence using security Human-Robot Collaboration (HRC). Human-Robot Collaboration (HRC) is an area of research with a wide range of up-demands, future scenarios, and potential economic influence. HRC is an interdisciplinary field of research that encompasses cognitive sciences, classical robotics, and psychology. RESULTS:The robot can thus make the optimal decision between actions that expose its capabilities to the human being and take the best steps given the knowledge that is currently available to the human being. Further, the ideal policy can be measured carefully under certain observability assumptions. CONCLUSION:The system is shown on a collaborative robot and is compared to a state of the art security system. The device is experimentally demonstrated. The new system is being evaluated qualitatively and quantitatively.
