Christophe van der Walt, Sara Falcone, Jan van Erp, Stefano Stramigioli, Douwe Dresscher
{"title":"The Influence of Mass and Friction in Teleoperated Tasks.","authors":"Christophe van der Walt, Sara Falcone, Jan van Erp, Stefano Stramigioli, Douwe Dresscher","doi":"10.1109/TOH.2025.3570795","DOIUrl":null,"url":null,"abstract":"<p><p>Model Mediated Teleoperation (MMT) is a method of teleoperation by which a model of the environment is displayed to the operator for delay-free feedback. The choice of the model is important to the performance of the system. A more descriptive model will give the operator more accurate feedback, but this can cause problems for the estimator and the renderer required to make MMT function. However, if certain environmental dynamics are not used by the operator to effectively manipulate the environment, they could be excluded from the feedback, thus mitigating thew problems caused for the estimator and renderer. This work investigates whether mass and friction modelling influence an operator's effectiveness at accomplishing teleoperated tasks as measured by a subjective Sense of Embodiment, environmental interaction force, and task completion time. It was found that mass had a significant influence (p$< $ 0.001) on task completion time and interaction force, whereas static and dynamic friction only had an influence on completion time when mass feedback was absent (p$< $ 0.001). In all cases, the presence of a dynamic effect increased interaction force and task completion time.</p>","PeriodicalId":13215,"journal":{"name":"IEEE Transactions on Haptics","volume":"PP ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Haptics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/TOH.2025.3570795","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Model Mediated Teleoperation (MMT) is a method of teleoperation by which a model of the environment is displayed to the operator for delay-free feedback. The choice of the model is important to the performance of the system. A more descriptive model will give the operator more accurate feedback, but this can cause problems for the estimator and the renderer required to make MMT function. However, if certain environmental dynamics are not used by the operator to effectively manipulate the environment, they could be excluded from the feedback, thus mitigating thew problems caused for the estimator and renderer. This work investigates whether mass and friction modelling influence an operator's effectiveness at accomplishing teleoperated tasks as measured by a subjective Sense of Embodiment, environmental interaction force, and task completion time. It was found that mass had a significant influence (p$< $ 0.001) on task completion time and interaction force, whereas static and dynamic friction only had an influence on completion time when mass feedback was absent (p$< $ 0.001). In all cases, the presence of a dynamic effect increased interaction force and task completion time.
期刊介绍:
IEEE Transactions on Haptics (ToH) is a scholarly archival journal that addresses the science, technology, and applications associated with information acquisition and object manipulation through touch. Haptic interactions relevant to this journal include all aspects of manual exploration and manipulation of objects by humans, machines and interactions between the two, performed in real, virtual, teleoperated or networked environments. Research areas of relevance to this publication include, but are not limited to, the following topics: Human haptic and multi-sensory perception and action, Aspects of motor control that explicitly pertain to human haptics, Haptic interactions via passive or active tools and machines, Devices that sense, enable, or create haptic interactions locally or at a distance, Haptic rendering and its association with graphic and auditory rendering in virtual reality, Algorithms, controls, and dynamics of haptic devices, users, and interactions between the two, Human-machine performance and safety with haptic feedback, Haptics in the context of human-computer interactions, Systems and networks using haptic devices and interactions, including multi-modal feedback, Application of the above, for example in areas such as education, rehabilitation, medicine, computer-aided design, skills training, computer games, driver controls, simulation, and visualization.