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.
OBJECTIVES: In this paper, the Advanced Human-Robot Collaboration Model (AHRCM) approach is to enhance the risk assessment and to make the workplace involving security robots. The robots use perception cameras and generate scene diagrams for semantic depictions of their environment. Furthermore, Artificial Intelligence (AI) and Information and Communication Technology (ICT) have utilized to develop a highly protected security robot based risk management system in the workplace.
RESULTS: The experimental results show that the proposed AHRCM method achieves high performance in human-robot mutual adaption and reduce the risk.
CONCLUSION: Through an experiment in the field of human subjects, demonstrated that policies based on the proposed model improved the efficiency of the human-robot team significantly compared with policies assuming complete human-robot adaptation.
OBJECTIVE: In this article, we study the robotic kitting system with a Robotic Mounted Rail Arm System (RMRAS), which travels narrowly to choose the elements.
RESULTS: The objective is to evaluate the efficiency of a robotic kitting system in cycle times through modeling of the elementary kitting operations that the robot performs (pick and room, move, change tools, etc.). The experimental results show that the proposed method enhances the performance and efficiency ratio when compared to other existing methods.
CONCLUSION: This study with the manufacturer can help him assess the robotic area performance in a given design (layout and picking a policy, etc.) as part of an ongoing project on automation of kitting operations.
METHODS: Health policy experts from the public and private sectors were asked to participate in a survey to explore the current and future status of HTA implementation in Jordan. Semistructured interviews with senior policy makers supported by literature review were conducted to validate survey results and make recommendations for specific actions.
RESULTS: Survey and interview results indicated a need for increased HTA training, including both short courses and academic programs and gradually increasing public funding for technology assessment and appraisal. Multiple HTA bodies with central coordination can be the most feasible format of HTA institutionalization. The weight of cost-effectiveness criterion based on local data with published reports and explicit decision thresholds should be increased in policy decisions of pharmaceutical and nonpharmaceutical technologies.
CONCLUSION: Currently, HTA has limited impact on health policy decisions in Jordan, and when it is used to support pharmaceutical reimbursement decisions, it is mainly based on results from other countries without considering transferability of international evidence. Policy makers should facilitate HTA institutionalization and use in policy decisions by increasing the weight of local evidence in HTA recommendations.