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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Days

Hrs

Min

Overview
Content
Instructors
Reviews

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 1 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 Vugreshek is a Berlin-based computational designer, digital fabrication specialist, and data scientist passionate about pushing creative boundaries and will deliver a 90-minute-long exciting tutorial at the upcoming Computational Design: NEXT 14 online conference. He has been involved as a research assistant at the Digital Design & Fabrication department of the Brandenburg University of Technology in Cottbus as well as a teacher at the chair of biodigital architecture and sensorics (CyPhyLab) at the Technical University of Berlin. He has worked at offices for all scales of design and engineering, most notably at 3XN, doing optimization and fabrication of large projects, such as the Sydney Fish Market. Zvonko has been applying Machine learning and automation techniques in all scopes and scales of design and engineering. He co-owns the Berlin-based generative design and fabrication studio Pixolid, bringing his experience in AI/ML to the physical world. He has been involved in many workshops, webinars, and lectures aiming to popularize computational practices.