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Updated: Feb 3, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Application of a Dual-Arm Robot in Complex Sample Preparation and Measurement Processes.

Heidi Fleischer1, Robert Ralf Drews2, Jessica Janson2

  • 1Institute of Automation, University of Rostock, Germany heidi.fleischer@uni-rostock.de.

Journal of Laboratory Automation
|March 23, 2016
PubMed
Summary

A novel flexible automation system addresses challenges in analytical measurement by integrating sample preparation, analysis, and data evaluation. This robotic system enhances laboratory efficiency for complex tasks like cholesterol determination.

Keywords:
automated sample preparationbiliary endoprosthesischolesterol determination using GC-MSdual-arm robotlaboratory automation

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Area of Science:

  • Analytical Chemistry
  • Robotics and Automation
  • Laboratory Science

Background:

  • Industrial robotics and bioscreening exhibit high automation levels.
  • Analytical measurement faces challenges due to complex, heterogeneous processes and nonstandard sample vessels.
  • Existing automation solutions from bioscreening are unsuitable for analytical measurement.

Purpose of the Study:

  • To present a flexible and universal automation system for analytical measurement.
  • To demonstrate the system's application in sample preparation, analysis, and data evaluation.
  • To overcome limitations of current automation in complex laboratory workflows.

Main Methods:

  • Development of a flexible automation system with a dual-arm robot for transport and manipulation.
  • Integration of sample preparation, analytical measurement (GC-MS), and data analysis.
  • Application of the system for cholesterol determination in biliary endoprosthesis.

Main Results:

  • The presented system successfully automates sample preparation, analysis, and data evaluation.
  • A dual-arm robot mimics human operation, enabling use of manual lab equipment.
  • The system is suitable for analytical measurements with high standardization requirements.

Conclusions:

  • The developed flexible automation system enhances efficiency and universality in analytical measurement.
  • Robotic systems can be adapted for complex laboratory tasks, bridging gaps in current automation.
  • This approach facilitates human-like operation and integration with existing laboratory infrastructure.