Last data update: Sep 16, 2024. (Total: 47680 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: Cheng MH [original query] |
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Designing an experimental platform to assess ergonomic factors and distraction index in law enforcement vehicles during mission-based routes
Cheng MH , Guan J , Dave HK , White RS , Whisler RL , Zwiener JV , Camargo HE , Current RS . Machines 2024 12 (8) Mission-based routes for various occupations play a crucial role in occupational driver safety, with accident causes varying according to specific mission requirements. This study focuses on the development of a system to address driver distraction among law enforcement officers by optimizing the Driver–Vehicle Interface (DVI). Poorly designed DVIs in law enforcement vehicles, often fitted with aftermarket police equipment, can lead to perceptual-motor problems such as obstructed vision, difficulty reaching controls, and operational errors, resulting in driver distraction. To mitigate these issues, we developed a driving simulation platform specifically for law enforcement vehicles. The development process involved the selection and placement of sensors to monitor driver behavior and interaction with equipment. Key criteria for sensor selection included accuracy, reliability, and the ability to integrate seamlessly with existing vehicle systems. Sensor positions were strategically located based on previous ergonomic studies and digital human modeling to ensure comprehensive monitoring without obstructing the driver’s field of view or access to controls. Our system incorporates sensors positioned on the dashboard, steering wheel, and critical control interfaces, providing real-time data on driver interactions with the vehicle equipment. A supervised machine learning-based prediction model was devised to evaluate the driver’s level of distraction. The configured placement and integration of sensors should be further studied to ensure the updated DVI reduces driver distraction and supports safer mission-based driving operations. © 2024 by the authors. |
Identification of contact avoidance zones of robotic devices in human-robot collaborative workspaces
Cheng MH , Liang CJ , McKenzie EA Jr , Dominguez EG . IFAC-PapersOnLine null 56 (3) 577-582 The objective of this study was to establish a framework for producing indoor maps and locating robotic devices in a manufacturing environment. The framework employs computer vision techniques to construct the map and identify the presence of human workers. It defines the contact avoidance zones around human workers and existing obstacles. Once the location of the robot is identified, the map is used to plan paths to ensure safe human-robot collaboration for mobile and collaborative robots in shared workspaces with humans. The incorporation of avoidance zones into the map allows the robotic devices to anticipate the movements of workers and prevent collisions, this decreases the risk of injuries in collaborative environments. This paper illustrates the implementation of robots evading unforeseen contact with pre-defined contact avoidance zones, employing two distinct examples as demonstration. |
Trends in robotics research in occupational safety and health: A scientometric analysis and review
Liang CJ , Cheng MH . Int J Environ Res Public Health 2023 20 (10) Robots have been deployed in workplaces to assist, work alongside, or collaborate with human workers on various tasks, which introduces new occupational safety and health hazards and requires research efforts to address these issues. This study investigated the research trends for robotic applications in occupational safety and health. The scientometric method was applied to quantitatively analyze the relationships between robotics applications in the literature. The keywords "robot", "occupational safety and health", and their variants were used to find relevant articles. A total of 137 relevant articles published during 2012-2022 were collected from the Scopus database for this analysis. Keyword co-occurrence, cluster, bibliographic coupling, and co-citation analyses were conducted using VOSviewer to determine the major research topics, keywords, co-authorship, and key publications. Robot safety, exoskeletons and work-related musculoskeletal disorders, human-robot collaboration, and monitoring were four popular research topics in the field. Finally, research gaps and future research directions were identified based on the analysis results, including additional efforts regarding warehousing, agriculture, mining, and construction robots research; personal protective equipment; and multi-robot collaboration. The major contributions of the study include identifying the current trends in the application of robotics in the occupational safety and health discipline and providing pathways for future research in this discipline. |
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