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This study introduces the Configuration-Aware Limit Model (CALM), which treats robot body configuration as a critical planning variable to optimize safe approach distances and human intervention boundaries. By quantifying how arm extension alters stopping distances and subjective comfort, the research provides a data-driven framework for integrating physical safety with behavioral constraints in humanoid robotics. This work advances the field of Human-Robot Interaction by establishing population-coverage boundaries that enable more efficient task planning without compromising user safety.
CALM: Configuration-Aware Human Intervention Boundaries During Robot Approach
arXiv:2609.07430v1 Announce Type: new Abstract: How robot body configuration shapes human intervention during approach remains underexplored. We conducted a within-participants study with 41 participants, measuring final stopping distance, subjective comfort, and exploratory eye-tracking responses across four humanoid arm configurations and two spatial scales. Full forward arm extension increased stopping distance by approximately 31-36 cm relative to arms-down. Spatial scale primarily affected comfort and pupil responses without a detectable stopping-distance shift. We introduce the Configuration-Aware Limit Model (CALM), which translates stopping-distance distributions into configuration-dependent population-coverage boundaries. Estimated boundaries at 80% coverage ranged from 0.88 to 1.47 m. In an illustrative one-dimensional planning analysis, reconfiguration enabled a 1.10 m approach goal that was unreachable with arms remaining fully extended under the same nominal pointwise 20% intervention-probability constraint. These findings support treating body configuration as a planning variable while distinguishing physical safety, behavioral intervention, and subjective cost.
Abstract:How robot body configuration shapes human intervention during approach remains underexplored. We conducted a within-participants study with 41 participants, measuring final stopping distance, subjective comfort, and exploratory eye-tracking responses across four humanoid arm configurations and two spatial scales. Full forward arm extension increased stopping distance by approximately 31-36 cm relative to arms-down. Spatial scale primarily affected comfort and pupil responses without a detectable stopping-distance shift. We introduce the Configuration-Aware Limit Model (CALM), which translates stopping-distance distributions into configuration-dependent population-coverage boundaries. Estimated boundaries at 80% coverage ranged from 0.88 to 1.47 m. In an illustrative one-dimensional planning analysis, reconfiguration enabled a 1.10 m approach goal that was unreachable with arms remaining fully extended under the same nominal pointwise 20% intervention-probability constraint. These findings support treating body configuration as a planning variable while distinguishing physical safety, behavioral intervention, and subjective cost.
Robotics (cs.RO); Human-Computer Interaction (cs.HC)
arXiv:2609.07430 [cs.RO]
(or arXiv:2609.07430v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2609.07430 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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