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March 12, 20260 citations

OSCAR: A Modular Open-Source Robotic Platform for Biological Laboratories.

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DPD.P. PivinACAntoine ChampieMPMirco Plante

Key Points

  • The research aims to create a low-cost, flexible robotic platform for biological laboratories that enhances automation.
  • Developed the OSCAR platform using open-source software and modular hardware.
  • Integrated a robotic arm with a dual-function end-effector for pipetting and tool manipulation.
  • Demonstrated the system using a plasmid assembly workflow involving multiple steps such as PCR and transformation.
  • OSCAR is designed to be affordable and accessible compared to standard robotic systems.
  • Successfully demonstrated a complete plasmid assembly workflow.
  • Facilitated manipulation of common laboratory tasks using standard, human-operated equipment.

Abstract

Biological research often involves complex, repetitive, and high-throughput manipulations that are well-suited to automation. However, current robotic systems generally excel only at narrowly defined tasks or standardized workflows and remain expensive, inflexible, and dependent on proprietary modules or reagents. To address these limitations, we developed the Open-Source Collaborative Automation & Robotics (OSCAR) platform, a flexible and low-cost system designed to perform common laboratory manipulations using standard, human-operated equipment. OSCAR incorporates open-source software and modular hardware to maximize accessibility and affordability. The platform features a robotic arm equipped with a dual-function end-effector: a pipetting module for precise liquid handling and a vision-enabled gripper for manipulating laboratory tools. To demonstrate the platform's versatility, we implemented a representative plasmid assembly workflow, from PCR amplification and enzymatic assembly to transformation, plating, colony picking, PCR screening, and validation by agarose gel electrophoresis. By making this system open-source and compatible with widely used consumables and equipment, we aim to democratize access to automation and broaden its adoption across diverse research environments.

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Cite This Study

Pivin et al. (2026) studied this question.

synapsesocial.com/papers/69b2588496eeacc4fcec840fhttps://doi.org/10.1021/acssynbio.5c00733
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