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Related Experiment Video

Updated: Sep 6, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Cobot Motion Planning Algorithm for Ensuring Human Safety Based on Behavioral Dynamics.

Bo Liu¹, Weiping Fu^1,2, Wen Wang¹

¹School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China.

Sensors (Basel, Switzerland)

|June 24, 2022

Summary

This study introduces a psychological safety field (PSF) model to quantify cobot behavior

Keywords:

behavioral dynamics collision avoidance motion planning psychological safety field model safety in HRI

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Area of Science:

Robotics
Human-Robot Interaction
Psychological Safety

Background:

Worker safety is a growing concern with collaborative robot (cobot) integration.
Limited quantitative research exists on cobot behavior's psychological impact on humans.
Current cobot motion planning algorithms do not incorporate psychological feedback.

Purpose of the Study:

To develop a quantitative model for psychological safety in human-cobot interactions.
To investigate the relationship between cobot approach speed, distance, and human psychological stress.
To enhance cobot motion planning algorithms for improved human comfort and safety.

Main Methods:

Proposed a Psychological Safety Field (PSF) model based on gravity field concepts.
Conducted experiments varying cobot approach speeds and minimum distances to human body parts (head, chest, abdomen).
Utilized data fitting to derive an equation for psychological stress based on speed and distance.

Main Results:

Developed an ordinary surface equation quantifying psychological stress relative to speed and minimum distance.
Improved a robot motion planning algorithm by integrating social rules and the PSF model.
Validation experiments demonstrated a significant reduction in psychological stress with the improved algorithm.

Conclusions:

The novel PSF model effectively quantifies psychological stress in human-cobot proximity.
The improved motion planning algorithm significantly reduces psychological stress, enhancing perceived robot friendliness.
The findings are crucial for developing safer and more comfortable human-robot interaction systems.