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GPT-enhanced robotic automation platform with user-friendly instruction framework for versatile applications
Zhitao Wang1, Sai Zhang2, Litao Shao3
1College of Medical Information and Artificial Intelligence, Shandong First Medical University & Shandong Academy of Medical Sciences, 6699 Qingdao Road, Jinan, 250117, Shandong, China.
SLAS Technology
|April 19, 2026
Summary
This study presents a universal platform for laboratory automation, simplifying multi-robot control via standardized instructions and a natural language interface. It achieves high success rates, enabling efficient and accurate complex experimental workflows.
Area of Science:
- Laboratory Automation
- Robotics in Science
- Computational Biology
Background:
- Hardware integration and system complexity hinder laboratory automation.
- Controlling multi-brand robots requires specialized expertise and complex programming.
- Lack of user-friendly interfaces limits accessibility for domain scientists.
Purpose of the Study:
- To develop a universal platform for simplifying multi-robot laboratory automation.
- To address challenges in hardware integration and system complexity.
- To enhance accessibility for domain scientists through intuitive control mechanisms.
Main Methods:
- A standardized instruction framework was developed to unify multi-brand robot control.
- A zero-code natural language interface powered by OpenAI's GPTs was implemented.
- Workflows were reviewed by domain scientists with automated validation safeguards.
Main Results:
- The platform successfully translated natural language instructions with a 99.0% success rate.
- Automated Cell Counting Kit-8 (CCK-8) cell viability assays showed high consistency with manual operations.
- Complex, multi-device experiments were validated on the platform.
Conclusions:
- The developed platform offers a practical framework for multi-robot laboratory automation.
- The system demonstrates stable and accurate performance in tested workflows.
- This approach assists domain scientists in managing complex automated laboratory tasks.
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