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.
04 / 06Machines2026—28
Robotics / Digital Twins
Learning in public, proving through builds.
Overview
A structured 24-month transition into robotics simulation, digital twins and spatial AI, designed around competency evidence rather than course attendance.
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.
- 01Blueprint and visual-logic foundations
- 02Physical robotics, sensing and closed-loop control
- 03ROS 2, Isaac Sim, OpenUSD and synthetic data
- 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.