Relevant Perception Modalities for Flexible Human-Robot Teams

Hollerich, Nico; Henrich, Dominik

doi:10.1109/ro-man47096.2020.9223593

Cited by 1 publication

(2 citation statements)

References 14 publications

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“…This survey is based on literature we gathered during our work in the field of human-robot teaming [25], [26], [27], [28], [29], [30], starting from 2017. We have expanded and completed this literature collection through an exploratory forward and backward search.…”

Section: Methodsmentioning

confidence: 99%

“…The input data can then e.g.be used to quantify emotions in terms of valence and arousal [84], [85]. (ii) Behavioural Assessment relies on video recordings of subjects to categorize their behaviour after the actual experiment [27], [86], [87], [88]. (iii) Computational Models relate quantitative values to human factor concepts, e.g.trust to objective metrics [89], [90], [91], [92], cognitive workload to physiological signals [93], [94], stress to skin temperature [95], or anxiety to facial expressions [96].…”

Section: ) Cognitive Ergonomicsmentioning

confidence: 99%

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Benchmarking Teamwork of Humans and Cobots—An Overview of Metrics, Strategies, and Tasks

2023

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Human-robot teaming receives an ever-increasing level of attention in research, development and industry. Novel approaches to task sharing in hybrid teams range from optimized schedules to intelligent cobot assistants with a high degree of autonomy. These approaches must prove their usefulness and benefits compared to manual work or full automation -particularly when it comes to assessing their potential for productive industrial use. This leverages demand for standardized, repeatable benchmarks to compare approaches and measure improvements in a reproducible way. Designing such benchmarks is challenging as numerous aspects, from safety considerations to human factors and team performance, must be considered. This survey seeks to contribute to the future development of benchmarks for the field of collaborative assembly, handling, and industrial cobot applications by giving a comprehensive overview of relevant metrics, evaluation strategies, and tasks for human-robot teams.

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