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Automated Robotic Dispensing Technique for Surface Guidance and Bioprinting of Cells
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High-Precision Multi-Axis Robotic Printing: Optimized Workflow for Complex Tissue Creation.

Erfan Shojaei Barjuei1, Joonhwan Shin1, Keekyoung Kim1,2

  • 1Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.

Bioengineering (Basel, Switzerland)
|September 27, 2025
PubMed
Summary
This summary is machine-generated.

Multi-axis robotic bioprinting overcomes limitations of traditional methods for fabricating complex 3D tissues. This new platform enables high-fidelity printing of curved geometries, advancing tissue engineering and potential in-situ applications.

Keywords:
3D bioprintingbioprinting processembedded bioprintingrobotic platform

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Area of Science:

  • Biomedical Engineering
  • Tissue Engineering
  • Robotics

Background:

  • Traditional Cartesian bioprinting faces limitations in fabricating complex curved geometries, such as vascular networks, due to linear deposition and the stair-step effect.
  • Multi-axis robotic bioprinting offers a solution by enabling dynamic nozzle orientation and curvilinear motion for conformal printing on anatomically relevant surfaces.

Purpose of the Study:

  • To present a modular multi-axis robotic embedded bioprinting platform for fabricating complex 3D tissue constructs.
  • To demonstrate the system's capability in printing freeform surfaces and vascular-inspired tubular structures with high fidelity.

Main Methods:

  • Integration of a six-degrees-of-freedom robotic arm, a pneumatic extrusion system, and a viscoplastic support bath.
  • Development of a streamlined workflow encompassing CAD modeling, CAM slicing, robotic simulation, and automated execution.
  • Implementation of vision-based toolpath correction to enhance accuracy.

Main Results:

  • Successful fabrication of freeform surfaces and vascular-inspired tubular constructs with high fidelity.
  • Demonstration of the platform's versatility in complex tissue engineering applications.
  • Validation of the system's potential for future in situ bioprinting.

Conclusions:

  • The developed multi-axis robotic bioprinting platform effectively addresses the limitations of traditional methods for complex geometries.
  • The system shows significant promise for advancing tissue engineering and enabling novel in situ bioprinting applications.