Mobile Robot’s Vertical Oscillation and Body Posture Enhancing Human Perception of the Robot’s Locomotion Speed

Mobile robots have seamlessly integrated into our daily lives, providing various services to humans. The key to successful interaction between humans and these robots lies in human acceptance. To enhance this acceptance, humans must intuitively and easily grasp the intentions behind the locomotion of mobile robots. Just as humans communicate changes in their walking or running speed through vertical oscillation and body leaning, this study delves into the utilization of these behaviors by mobile robots to influence human perception of their locomotion speed. Through laboratory experiments and video analyses, we evaluated the impact of these human-like behaviors on human perception. Our findings reveal that increasing the robot’s vertical oscillation frequency as it approaches humans can affect the perception of an increase in locomotion speed and an intention to accelerate. Additionally, the robot’s forward-leaning posture can affect the human perception of an increase in locomotion speed. Conversely, decreasing the robot’s vertical oscillation frequency as it approaches humans can result in the perception of a decrease in locomotion speed and an intention to decelerate. However, the backward-leaning posture does not influence perceptions of the robot’s locomotion speed changes or intentions. These findings enable humans to anticipate the robot’s locomotion and intentions more intuitively and easily, thereby fostering acceptance in human-robot interactions.

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Publication Details

Journal
International Journal of Social Robotics
Published
2026-02-01
DOI
https://doi.org/10.1007/s12369-025-01346-y
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
0.00

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article

Mobile Robot’s Vertical Oscillation and Body Posture Enhancing Human Perception of the Robot’s Locomotion Speed

Genki Jogan, Zihao Chi, Yoshihiro Nakata, Masaya Iwasaki et al.
International Journal of Social Robotics
Social Robot Interaction and HRI
article

Mobile Robot’s Vertical Oscillation and Body Posture Enhancing Human Perception of the Robot’s Locomotion Speed

Genki Jogan, Zihao Chi, Yoshihiro Nakata, Masaya Iwasaki, Hiroshi Ishiguro, Yuichiro Yoshikawa
article en

Abstract

Mobile robots have seamlessly integrated into our daily lives, providing various services to humans. The key to successful interaction between humans and these robots lies in human acceptance. To enhance this acceptance, humans must intuitively and easily grasp the intentions behind the locomotion of mobile robots. Just as humans communicate changes in their walking or running speed through vertical oscillation and body leaning, this study delves into the utilization of these behaviors by mobile robots to influence human perception of their locomotion speed. Through laboratory experiments and video analyses, we evaluated the impact of these human-like behaviors on human perception. Our findings reveal that increasing the robot’s vertical oscillation frequency as it approaches humans can affect the perception of an increase in locomotion speed and an intention to accelerate. Additionally, the robot’s forward-leaning posture can affect the human perception of an increase in locomotion speed. Conversely, decreasing the robot’s vertical oscillation frequency as it approaches humans can result in the perception of a decrease in locomotion speed and an intention to decelerate. However, the backward-leaning posture does not influence perceptions of the robot’s locomotion speed changes or intentions. These findings enable humans to anticipate the robot’s locomotion and intentions more intuitively and easily, thereby fostering acceptance in human-robot interactions.

International Journal of Social RoboticsVol. 18(2)
University of Electro-Communications (JP), The University of Osaka (JP)
Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science, Moonshot Research and Development Program
Openalex Percentile: Top 55%
Social Robot Interaction and HRI
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