1. OrcaSlicer — Non-Planar Slicing & Tool-Change Optimization
Description: Fork of OrcaSlicer where I develop non-planar slicing and multi-color tool-change minimization for FFF printing, extending graph-based toolpath optimization to next-generation slicer architecture.
Link: https://github.com/apetsiuk/OrcaSlicer
Description: Fork of OrcaSlicer where I develop non-planar slicing and multi-color tool-change minimization for FFF printing, extending graph-based toolpath optimization to next-generation slicer architecture.
Link: https://github.com/apetsiuk/OrcaSlicer
2. PrusaSlicer — Interlayer Tool Clustering
Description: Original implementation of an interlayer tool-clustering algorithm for multi-color tool-change minimization — the first working version of the graph-based approach later extended in OrcaSlicer.
Link: https://github.com/apetsiuk/PrusaSlicer
3. FullControl G-Code Patch
Description: Computer-vision-based G-code patching: detecting a damaged region mid-print and generating a corrected toolpath to repair it in the following layer.
Link: https://github.com/apetsiuk/FullControl_GCode_Patch
4. Title: OctoPrint Failure Analysis
Description: An OctoPrint plugin for monocular computer vision-based, layer-wise defect detection in FFF 3D printing — in-process failure analysis during a live print. (In progress.)
Link: https://github.com/apetsiuk/OctoPrint-Failureanalysis
5. Title: Microstructure Vision-Based Porosity Analysis
Description: A computer vision pipeline for detecting and quantifying porosity in aluminum alloy microstructures from microscope scans, extending defect-detection methods to post-process material characterization.
Link: https://github.com/apetsiuk/microstructure-vision-based-porosity-analysis
6. Title: G-Code Parser and Visualization
Description: A Blender-based G-code parser and photorealistic renderer that generates labeled toolpath visualizations with segmentation masks, used to build synthetic training data for computer vision models.
Link: https://github.com/apetsiuk/GCode-Parser-and-Viz
Description: A computer vision pipeline for detecting and quantifying porosity in aluminum alloy microstructures from microscope scans, extending defect-detection methods to post-process material characterization.
Link: https://github.com/apetsiuk/microstructure-vision-based-porosity-analysis
6. Title: G-Code Parser and Visualization
Description: A Blender-based G-code parser and photorealistic renderer that generates labeled toolpath visualizations with segmentation masks, used to build synthetic training data for computer vision models.
Link: https://github.com/apetsiuk/GCode-Parser-and-Viz
7. Title: Raccoon — Camera and LIDAR Robotics Quadrathlon
Description: A multi-sensor (camera and LIDAR) navigation and perception system built on a Clearpath Jackal robot in ROS — foundational work in sensing and control for robotic manufacturing systems.
Link: https://github.com/apetsiuk/Raccoon
Description: A multi-sensor (camera and LIDAR) navigation and perception system built on a Clearpath Jackal robot in ROS — foundational work in sensing and control for robotic manufacturing systems.
Link: https://github.com/apetsiuk/Raccoon