Human Behavior and Comfort During Load Carrying to Autonomous Mobile Robot

To improve logistics operations, humans and autonomous mobile robots (AMRs) are expected to interact more in smart cities, such as leaving packages on AMRs for street pickup. However, how humans walk and pass objects to AMRs when approaching each other has not been systematically investigated. We conducted three psychophysical experiments to clarify the behavior and comfort of humans when carrying a package and placing it on an AMR, by (1) changing the AMR speed and final stop distance between the AMR and participant, (2) changing the stop distance and physical weight of the package, and (3) comparing participants’ behaviors and responses between high and low robotics experience groups while changing the stop distance and package weight. Motion trackers quantified the participants’ walking speed and hesitation probability (i.e., the frequency of temporary pauses during walking). Perceived heaviness and comfort were recorded using a questionnaire during each trial. The participants’ speed decreased and hesitation probability increased when the stop distance of the AMR decreased. The participants felt more comfortable with a closer approach, whereas the package weight did not affect their behavior. By contrast, they felt uncomfortable when the AMR remained still. The level of robotics experience had no influence on the results, suggesting that humans regard the approaching AMR as a load-carrying assistant and not as something entering their personal space. Comfortable human–AMR interaction can be achieved during load carrying if the AMR closely approaches a person without instilling a feeling of entering their personal space.

Authors

Institutions

Publication Details

Journal
International Journal of Social Robotics
Published
2025-10-20
DOI
https://doi.org/10.1007/s12369-025-01329-z
Citations
1
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
1.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human Behavior and Comfort During Load Carrying to Autonomous Mobile Robot

Yoshiko Matsubara, Shigeki Nakauchi, Tetsuto Minami, Hideki Tamura et al.
1 citations
International Journal of Social Robotics
Gaze Tracking and Assistive Technology
1.94
article

Human Behavior and Comfort During Load Carrying to Autonomous Mobile Robot

Yoshiko Matsubara, Shigeki Nakauchi, Tetsuto Minami, Hideki Tamura, Michael Makoto Martinsen, K. Ito, Taiki Konno
article en
1 citations

Abstract

To improve logistics operations, humans and autonomous mobile robots (AMRs) are expected to interact more in smart cities, such as leaving packages on AMRs for street pickup. However, how humans walk and pass objects to AMRs when approaching each other has not been systematically investigated. We conducted three psychophysical experiments to clarify the behavior and comfort of humans when carrying a package and placing it on an AMR, by (1) changing the AMR speed and final stop distance between the AMR and participant, (2) changing the stop distance and physical weight of the package, and (3) comparing participants’ behaviors and responses between high and low robotics experience groups while changing the stop distance and package weight. Motion trackers quantified the participants’ walking speed and hesitation probability (i.e., the frequency of temporary pauses during walking). Perceived heaviness and comfort were recorded using a questionnaire during each trial. The participants’ speed decreased and hesitation probability increased when the stop distance of the AMR decreased. The participants felt more comfortable with a closer approach, whereas the package weight did not affect their behavior. By contrast, they felt uncomfortable when the AMR remained still. The level of robotics experience had no influence on the results, suggesting that humans regard the approaching AMR as a load-carrying assistant and not as something entering their personal space. Comfortable human–AMR interaction can be achieved during load carrying if the AMR closely approaches a person without instilling a feeling of entering their personal space.

International Journal of Social RoboticsVol. 17(11)
Toyohashi University of Technology (JP)
Openalex Percentile: Top 12%
Gaze Tracking and Assistive Technology
1.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.