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Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
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Simulation-Based Trajectory for Non-Planar Scaffold Printing on Irregular Patches Using Robotic Arm.

Salvatore D'Alessandro1,2, Gianluca Cidonio1,2, Giancarlo Ruocco2

  • 1Department of Mechanical and Aerospace Engineering, University of Rome "La Sapienza", 00184 Rome, Italy.

Bioengineering (Basel, Switzerland)
|March 28, 2026
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Summary
This summary is machine-generated.

This study introduces a new method for 3D bioprinting scaffolds on irregular surfaces using robotic arms and MATLAB. The approach ensures precise scaffold fabrication, mimicking natural tissue morphology for regenerative medicine.

Keywords:
bioprintingnon-planar scaffoldrobotic armtissue regeneration

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Area of Science:

  • Biomaterials Engineering
  • Robotics in Medicine
  • Tissue Engineering

Background:

  • Scaffold biofabrication for tissue regeneration requires precise replication of native tissue morphology.
  • Existing methods often struggle with complex, irregular anatomical surfaces.
  • Patient-specific scaffold fabrication is crucial for regenerative medicine.

Purpose of the Study:

  • To develop a reproducible and accessible framework for non-planar path generation in scaffold biofabrication.
  • To enable scaffold fabrication on irregular anatomical surfaces with high geometric conformity.
  • To advance patient-specific tissue engineering solutions.

Main Methods:

  • Integration of a simulation-based trajectory optimization system with a robotic arm.
  • Generation of lattice paths using an intersection-based method with parallel planes.
  • Utilizing MATLAB for kinematic modeling and trajectory computation, coupled with a coaxial nozzle for biomaterial extrusion.

Main Results:

  • Achieved smooth trajectory execution with positional standard deviation within the robotic arm's reproducibility threshold.
  • Demonstrated superior geometric conformity on complex anatomical patches compared to conventional planar methods.
  • Successfully fabricated scaffolds with controlled deposition and improved geometric accuracy.

Conclusions:

  • The proposed framework offers a reproducible and accessible method for non-planar scaffold biofabrication.
  • This approach enhances geometric conformity and accuracy on irregular anatomical surfaces.
  • It paves the way for patient-specific scaffold fabrication, advancing tissue engineering and regenerative medicine.