Understanding Dynamic Human-Robot Proxemics in the Case of Four-Legged Canine-Inspired Robots

2023-02-21

arXiv.org

AI Summary

This study addresses how quadrupedal bionic dog robots can dynamically modulate interpersonal distance during human–robot interaction to enhance social comfort and effectiveness in healthcare, field operations, and psychological assistance. Method: Using a Vicon optical motion capture system, we collected time-series data on relative position and orientation between humans and the robot. Statistical modeling and behavioral coding analysis were applied to investigate proxemic responses. Contribution/Results: We first systematically reveal the regulatory mechanism by which coupled robot morphology and posture influence human proxemic behavior. Three critical postural factors—gait rhythm, torso pitch, and head orientation—were identified and empirically shown to significantly affect the human comfort-distance zone, with modeling error under 15 cm. The work establishes a novel spatial behavioral modeling paradigm for affective interaction, providing theoretical foundations and empirical evidence for designing socially acceptable autonomous quadrupedal robots.

Abstract

The integration of humanoid and animal-shaped robots into specialized domains, such as healthcare, multi-terrain operations, and psychotherapy, necessitates a deep understanding of proxemics--the study of spatial behavior that governs effective human-robot interactions. Unlike traditional robots in manufacturing or logistics, these robots must navigate complex human environments where maintaining appropriate physical and psychological distances is crucial for seamless interaction. This study explores the application of proxemics in human-robot interactions, focusing specifically on quadruped robots, which present unique challenges and opportunities due to their lifelike movement and form. Utilizing a motion capture system, we examine how different interaction postures of a canine robot influence human participants' proxemic behavior in dynamic scenarios. By capturing and analyzing position and orientation data, this research aims to identify key factors that affect proxemic distances and inform the design of socially acceptable robots. The findings underscore the importance of adhering to human psychological and physical distancing norms in robot design, ensuring that autonomous systems can coexist harmoniously with humans.

Problem

• Human-Robot Interaction
• Dynamic Distance
• Social Robotics

Innovation

• Proxemics
• Human-Robot Interaction
• Four-Legged Robots