Courses Architectural Design Robotic Fabrication for Irregular Geometry

Robotic Fabrication for Irregular Geometry

Name: Robotic Fabrication for Irregular Geometry
Price: 85.00 EUR

This workshop focuses on scan-to-robot workflows, generating surface-aware robotic toolpaths from irregular geometry and validating them through kinematic simulation.

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Overview
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50 Seats

Feb 28 - Mar 1, 2026

14:00 - 18:00 GMT

Saturday - Sunday

Lessons in Progress

Beginner

8 Hours

Certificate — Learn

English

Unlimited Access

€100.00

€85.00

Last 3 seats at this price!

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Introduction of the workshop:

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.

What You’ll Learn?

Mastering computational concepts for managing complex toolpath arrays.

Understanding robot kinematics and how to visualise and validate reachability.

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

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

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

Robotic Fabrication for Irregular Geometry

Methodology:

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.

What You’ll Use?

Highlights:

Content

Instructors:

Zvonko Vugreshek

Biography

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.