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Related Experiment Video

Updated: May 25, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Robust and cooperative image-based visual servoing system using a redundant architecture.

Nicolas Garcia-Aracil¹, Carlos Perez-Vidal, Jose Maria Sabater

¹Edificio Quorum V, Miguel Hernandez University, Avda. de la Universidad S/N, 03202 Elche, Spain. nicolas.garcia@umh.es

Sensors (Basel, Switzerland)

|January 17, 2012

Summary

This summary is machine-generated.

This study introduces a robust 2D visual servoing system using two cameras to overcome image-based visual servoing challenges. The cooperative system enhances reliability and avoids common issues for industrial robot manipulators.

Keywords:

control image-based visual servoing robotics

Related Experiment Videos

Last Updated: May 25, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Area of Science:

Robotics
Computer Vision
Control Systems

Background:

Image-based visual servoing systems often lack reliability and robustness.
Existing systems face challenges like task singularities, feature extraction errors, and local minima.

Purpose of the Study:

To propose a redundant and cooperative 2D visual servoing system to enhance reliability and robustness.
To develop a control law ensuring system stability and mitigating common visual servoing problems.

Main Methods:

Utilized a two-camera system in eye-in-hand/eye-to-hand configurations.
Implemented a cooperative control law ensuring stability of the integrated system.
Conducted experiments with an industrial robot manipulator (Schunk modular motors).

Main Results:

Demonstrated the stability of the proposed visual servoing system.
Validated the enhanced performance and robustness of the system.
Successfully avoided typical issues associated with image-based visual servoing.

Conclusions:

The proposed redundant and cooperative 2D visual servoing system significantly improves reliability and robustness.
The system effectively addresses limitations of traditional image-based visual servoing.
Experimental results confirm the system's stability, performance, and robustness for industrial applications.