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Related Experiment Video

Updated: Jun 26, 2026

Operation of the Collaborative Composite Manufacturing (CCM) System

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Collaborative path planning for a robotic wheelchair.

Qiang Zeng¹, Chee Leong Teo, Brice Rebsamen

¹National University of Singapore, Singapore.

Disability and Rehabilitation. Assistive Technology

|January 2, 2009

Summary

This summary is machine-generated.

This study introduces a collaborative approach for wheelchair path generation, enabling human-robot interaction to create smooth, user-intended paths in complex environments. The findings highlight the effectiveness of intuitive design tools for ergonomic navigation.

Related Experiment Videos

Last Updated: Jun 26, 2026

Operation of the Collaborative Composite Manufacturing (CCM) System

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Area of Science:

Robotics
Human-Computer Interaction
Artificial Intelligence

Background:

Generating wheelchair paths in unstructured, dynamic human environments is challenging for AI.
Wheelchair paths must be smooth, comfortable, and aligned with user intentions.

Purpose of the Study:

To develop and evaluate a collaborative path learning strategy for wheelchairs.
To design intuitive tools for human-robot interaction in path generation.
To investigate the effectiveness of this approach for creating ergonomic guide paths.

Main Methods:

Human-robot collaborative path learning.
Development of intuitive design tools for intuitive interaction.
Experimental investigation with healthy subjects.
Analysis of optimal path features and user evaluation.

Main Results:

The collaborative approach effectively generates guide paths for wheelchairs.
The developed tools facilitate intuitive human-robot interaction.
Experimental results demonstrate the utility and complementarity of the tools for designing ergonomic paths.

Conclusions:

Human-robot collaboration is effective for wheelchair path generation in complex environments.
Intuitive design tools enhance the creation of user-centered, ergonomic paths.
This strategy offers a promising solution for intelligent wheelchair navigation.