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CoursesArchitectural DesignRobotic Fabrication for Irregular Geometry
Feb 28 & Mar 1, 202611 lessonsBeginner
Architectural DesignFREE with Full AccessWorkshopFeb 28 & Mar 1, 2026Beginner11 lessons7h 13mParametric DesignRobotic Fabrication

Robotic Fabrication for Irregular Geometry

Robotic Fabrication for Irregular Geometry is a two-day workshop on PAACADEMY that teaches scan-to-robot workflows using Rhino, Grasshopper, and the Robots plugin. Participants learn to digitize physical objects into 3D meshes using computer vision tools, generate surface-aware parametric toolpaths in Grasshopper that adapt to irregular geometry, and validate those paths through kinematic simulation, checking reachability, singularities, and joint limits before exporting machine code for robotic execution. Google Colab is used for the scan-to-mesh computer vision workflow.

Learn from Zvonko Vugreshek
FREE with Full Access

Instructor

Zvonko Vugreshek3 courses

  • Feb. 28 & Mar. 1, 202614:00 - 18:00 (GMT)
  • 7 Hours 13 MinTotal duration
  • Lifetime accessRewatch anytime
  • BeginnerLevel
  • 50 seatsClass size
  • EnglishLanguage
  • EnglishSubtitles
  • 11 LessonsLessons
  • CertificateIncluded
  • Course filesDownloadable

Most robotic fabrication tutorials assume that you are starting with a perfect digital model. However, the future of construction and manufacturing involves interacting with irregular and 'messy' real-world objects, or digital captures of them.

In this technical workshop, we will explore the latest frameworks for digitising complex objects and generating complex, surface-aware robotic toolpaths that adapt to their unique topology.

This workshop provides an in-depth exploration of the generation of computational toolpaths. The technical workflows required to generate valid instructions for any robot will be covered.
  • Input: We will use automated computer vision to digitise a physical object.
  • Process: The geometry will be processed by Grasshopper to create suitable toolpaths.
  • Output: We will validate these paths using a kinematic simulation (Robots plugin) to ensure they can be executed without issue.

  • 01

    Mastering computational concepts for managing complex toolpath arrays.

  • 02

    Understanding robot kinematics and how to visualise and validate reachability.

  • 03

    Mesh-to-Path Logic: Techniques for projecting vector paths onto 'noisy' scanned meshes.

  • 04

    Simulation & Safety: Verifying toolpaths digitally to prevent physical crashes (singularity analysis).

  • 05

    Machine Code Generation: Learn how to export your design as code that robots can read.

Rhinoceros 3DGrasshopper 3DRobotsGoogle Collab

  • Digitisation (the input): We will use a streamlined 'scan-to-mesh' workflow using computer vision tools to instantly create a 3D digital twin of a physical object from an image.
  • Toolpath Logic (the core): We will develop parametric scripts to generate 'surface following' paths (e.g., for 3D printing or milling) that hug the geometry.
  • Kinematics (The Validation): We will simulate the robot's motion to check reachability, collisions, and joint limits using the Robots plugin.

Program:

Day 1 - From Scan to Surface

  • First step: Extract 3D models of objects from images using computer vision tools.
  • Second step: Mesh clean-up and rationalisation in Rhino 8.
  • Third step: Generating toolpaths on the geometry to guide the robot.

Day 2 - The 'Robotic Hand' (Toolpathing & Simulation):

  • Import the 'digital twin' into the robotic environment.
  • Generate a toolpath for 3D printing, milling, or coating that adapts to the unique geometry of the object.
  • Use the Robots plugin to simulate the execution of the robotic arm.
  • If time allows, run it on a real robot.

11 Lessons7h 13m

Instructor

Zvonko Vugreshek

View profile
5.0instructor rating3courses

Zvonko is an architect turned engineer and digital fabricator. He is currently addressing the challenge of integrating data science and machine learning into design and fabrication processes. He is working on his company, Pixolid UG, which operates in these fields, in Berlin. Zvonko has also been active in academia, working as a researcher and lecturer at various universities in Berlin and the surrounding area, including TU Berlin, BTU Cottbus, and IU Berlin, in the fields of digital fabrication, robotics, and computational/generative design. His work focuses on bridging the gap between digital models and physical realities by training models to enhance robot-to-robot and human-to-robot collaboration. In this workshop, he will share his experience of translating real-world objects from photographs and demonstrate how computer vision and adaptive toolpaths can transform fabrication and design workflows.

3.0·20
3.0avg·2 Ratings
0 Reviews
Laura Calin5.0out of 5
gonzalo pulido lopez1.0out of 5
Laura Calin
Laura Calin
gonzalo pulido lopez
gonzalo pulido lopez

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€93.50€110.00

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Pro Membership€74.80Save €18.70 on this courseFull Access€0.00Plus every other course
InstructorZvonko Vugreshek
Regular Price
Save €16.50
€93.50€110.00
Pay less with membership
Pro Membership€74.80Save €18.70 on this courseFull Access€0.00Plus every other course