A Benchmark Toolkit for Collaborative Human-Robot Interaction

Riedelbauch, Dominik; Hummer, Jonathan

doi:10.1109/ro-man53752.2022.9900790

Cited by 3 publications

(13 citation statements)

References 28 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%

“…screwing) enable scaling the interaction in terms of role assignment. Our prior work [25] has a similar focus on easy-to-reproduce, task-centred interaction. The model set spans a broader range of domains (simple building blocks, abstracted electrical circuitry, gear meshing).…”

Section: A Dedicated Model Sets and Reference Tasksmentioning

confidence: 99%

“…This way, confounds as a consequence of robot failure during user studies are actively prevented. Contrasting to these assembly-inspired model sets [25], [302], the task described by Sarthou et alis based on the 'Director Task' as known from psychology studies and hence fosters cognitive and behavioural aspects more strongly based [303]. Involved agents are here facing each other with a shelf in between.…”

Section: A Dedicated Model Sets and Reference Tasksmentioning

confidence: 99%

“…From this shelf, cube-shaped objects have to be pickedthis approach offers less scalability regarding task-centred complexity (e.g. coordination due to assembly precedence relations [25]), but intrinsically challenges referential communication, perspective taking etc.…”

Section: A Dedicated Model Sets and Reference Tasksmentioning

confidence: 99%

“…The parts to manipulate range from primitively shaped, often distinctly coloured objects (e.g. [25], [125], [223], [303]) to everyday life objects (e.g. apples [304], USB keys [9]) and paper cut-outs [217].…”

Section: B Tasks Used In Joint Action Experimentsmentioning

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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