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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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Published on: August 29, 2025

Collaborative Robotics, Mobile Platforms, and Total Laboratory Automation in Clinical Diagnostics.

Shuvam Mukherjee¹, Charlie Lambert², Yizhi Zhou³

¹Department of Computer Engineering, University of Maryland, College Park, MD 20742, USA.

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|February 27, 2026

Summary

This summary is machine-generated.

Total laboratory automation (TLA) improves efficiency, but manual tasks remain. Emerging robots like cobots and AMRs can work alongside humans, creating hybrid systems for enhanced lab operations and workforce support.

Keywords:

CLIA FDA IVD regulation autonomous mobile robots clinical laboratory automation collaborative robots humanoid robot pathology total laboratory automation

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Area of Science:

Clinical diagnostics
Laboratory automation
Robotics in healthcare

Background:

Clinical diagnostic labs face pressure from high test volumes, complex testing, workforce shortages, and cost demands.
Total laboratory automation (TLA) has improved efficiency in high-volume labs, reducing turnaround times and errors.
Significant pre-analytical and post-analytical workflows remain manual, hindering overall laboratory efficiency.

Purpose of the Study:

To explore the integration of TLA with emerging robotics technologies.
To discuss the technical, regulatory, operational, and business aspects of hybrid automation.
To present the case for flexible, modular robotic systems in clinical laboratories.

Main Methods:

Review of current TLA systems and their impact on laboratory performance.
Analysis of advancements in collaborative robotics (cobots) and autonomous mobile robots (AMRs).
Integration of technical, regulatory (CLIA, FDA), operational, and business perspectives.

Main Results:

TLA significantly reduces turnaround time, error rates, and labor needs in high-volume labs.
Cobots offer precision for fine motor tasks, while AMRs excel at logistical transport.
Existing mobile manipulators demonstrate real-world success in hospital supply delivery.

Conclusions:

Hybrid automation ecosystems combining TLA, cobots, AMRs, and AI are emerging.
Flexible, modular robotic systems working alongside humans will augment the strained laboratory workforce.
This shift enhances laboratory reliability, scalability, and allows staff to focus more on patient care.