Robot-Assisted Drilling on Curved Surfaces with Haptic Guidance under Adaptive Admittance Control

Madani, Alireza; Niaz, Pouya P.; Guler, Berk; Aydın, Yusuf; Başdoğan, Çağatay

doi:10.1109/iros47612.2022.9982000

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…In the atypical category, numerous studies have focused on the industrial applications of assistive holding, drilling, and cutting, using manipulators [135,136,138,140,141]. A few studies have explored the potential of robots as dressing assistants [139].…”

Section: Indirect Phrimentioning

confidence: 99%

“…During the analysis of the results, we observed that several studies evaluated two human factor types simultaneously within the same experiment. Notably, the highest number of studies focused on the evaluation of belief and affect, including [38,48,54,64,66,68,76,95,96,118,141]. Following this, several studies explored the relationship between cognitive ergonomics and belief, such as [19,27,37,38,54,63,95,118,124].…”

Section: Emotional Statementioning

confidence: 99%

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Human Factors Considerations for Quantifiable Human States in Physical Human–Robot Interaction: A Literature Review

Abdulazeem,

2023

Sensors

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As the global population rapidly ages with longer life expectancy and declining birth rates, the need for healthcare services and caregivers for older adults is increasing. Current research envisions addressing this shortage by introducing domestic service robots to assist with daily activities. The successful integration of robots as domestic service providers in our lives requires them to possess efficient manipulation capabilities, provide effective physical assistance, and have adaptive control frameworks that enable them to develop social understanding during human–robot interaction. In this context, human factors, especially quantifiable ones, represent a necessary component. The objective of this paper is to conduct an unbiased review encompassing the studies on human factors studied in research involving physical interactions and strong manipulation capabilities. We identified the prevalent human factors in physical human–robot interaction (pHRI), noted the factors typically addressed together, and determined the frequently utilized assessment approaches. Additionally, we gathered and categorized proposed quantification approaches based on the measurable data for each human factor. We also formed a map of the common contexts and applications addressed in pHRI for a comprehensive understanding and easier navigation of the field. We found out that most of the studies in direct pHRI (when there is direct physical contact) focus on social behaviors with belief being the most commonly addressed human factor type. Task collaboration is moderately investigated, while physical assistance is rarely studied. In contrast, indirect pHRI studies (when the physical contact is mediated via a third item) often involve industrial settings, with physical ergonomics being the most frequently investigated human factor. More research is needed on the human factors in direct and indirect physical assistance applications, including studies that combine physical social behaviors with physical assistance tasks. We also found that while the predominant approach in most studies involves the use of questionnaires as the main method of quantification, there is a recent trend that seeks to address the quantification approaches based on measurable data.

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Section: Indirect Phrimentioning

confidence: 99%

Section: Emotional Statementioning

confidence: 99%

Human Factors Considerations for Quantifiable Human States in Physical Human–Robot Interaction: A Literature Review

Abdulazeem,

2023

Sensors

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Collaborative Robotics: A Survey From Literature and Practitioners Perspectives

Montini,

Daniele,

Agbomemewa

et al. 2024

J Intell Robot Syst

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Collaborative robotics possesses the potential to revolutionise industrial automation by offering affordable and accessible solutions with reasonable skill requirements. However, identifying the most valuable and appropriate applications for this technology remains a challenge. This study conducted a comprehensive literature review to analyse the existing collaborative robotics applications, and the results showed that only a limited number of applications can be considered true collaboration, with even fewer classified as intelligent collaboration. The study comprised a survey designed to offer valuable insights to not only enhance the state-of-the-art analysis in the identification of existing challenges in the field of collaborative robotics but also to provide motivation to guide future advancements. By leveraging the survey results, researchers and practitioners will be better equipped to navigate the complex landscape of collaborative robotics and develop innovative solutions to tackle the identified challenges. This study also informs on the latest research and development in the field.

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Effect of 2D/3D Visual and Haptic Cues for Fine Operation Tasks With Varying Difficulties

Hou,

He,

Wang

2024

International Journal of Human–Computer Interaction

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Robot-Assisted Drilling on Curved Surfaces with Haptic Guidance under Adaptive Admittance Control

Cited by 4 publications

References 25 publications

Human Factors Considerations for Quantifiable Human States in Physical Human–Robot Interaction: A Literature Review

Human Factors Considerations for Quantifiable Human States in Physical Human–Robot Interaction: A Literature Review

Collaborative Robotics: A Survey From Literature and Practitioners Perspectives

Effect of 2D/3D Visual and Haptic Cues for Fine Operation Tasks With Varying Difficulties

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