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04 / 06Machines2026—28

Robotics / Digital Twins

Learning in public, proving through builds.

AI-assisted concept study of an industrial robot cell aligned with its digital twinAI-assisted concept / R&D study

Overview

A structured 24-month transition into robotics simulation, digital twins and spatial AI, designed around competency evidence rather than course attendance.

AI-assisted visual development

Robotics concept studies.

Aspirational studies used to explore robotics, perception and simulation directions. These are not deployed systems, client projects or evidence of completed engineering work.

AI-assisted concept study of an industrial robot cell and its aligned digital twin
Digital twin cellConcept study / industrial robotics and simulation.
AI-assisted concept study of a robotic depth camera scanning a mechanical component
Machine visionConcept study / depth sensing and spatial perception.
AI-assisted concept study of autonomous mobile robots and planned motion paths
Path planningConcept study / autonomy and motion planning.

The challenge

What needed to be true.

Convert strong visual, Blender and systems-thinking experience into credible engineering capability across software, sensing, control, simulation and physical behaviour.

The response

How the work was shaped.

Built a 14-phase, 99-week programme inside MONTY with 297 guided sessions, evidence capture, competency gates and a substantial build at the end of every phase.

Evidence

Things that exist.

  1. 01Blueprint and visual-logic foundations
  2. 02Physical robotics, sensing and closed-loop control
  3. 03ROS 2, Isaac Sim, OpenUSD and synthetic data
  4. 04Sim-to-real, manipulation and multi-robot capstones

Why it matters

The honest trajectory is visible now; technical projects and measured evidence replace vague claims as each phase is completed.

Next projectSpace Lasers