KAUST
× Lucid

Programme overview.

A simulator for how people actually move through a space.

The established crowd-simulation tools in this space are mostly offline planning suites — desktop builds, fixed scenarios, batch runs. We took the same problem and built something that runs live, in the browser, on a real 3D scan of the space — interactive while the floor plan is still being argued about.

Crowd cognition at urban scale.

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KAUST digital twin

Agents don't follow waypoints. Each one carries a destination policy — population segments commute to work, students go to class, services attract residents on a daily rhythm.

Buildings emit attraction signals that bias agent decisions in real time, parameterised by time-of-day, capacity, and function.

Policies are reinforcement-learning trained on real KAUST campus movement data.

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COP28 · KAUST booth · CitiesOS live demo

Thirty-seven rules. Every agent, every frame.

Engine. All 37 run in parallel on the GPU, every frame, for every agent. A physics layer resolves separation and collision alongside. Everything runs in the browser — no install. Scales by swapping the geometry.

Our crowd simulation, on a real 3D scan.

We capture reality, not authored CAD.

Real industrial spaces scanned with a handheld camera or drone, reconstructed into a photorealistic 3D environment, delivered as a browser experience. One pipeline, several fidelities depending on what the use case needs.

Scan reality. Simulate operations. Deliver in a browser.

The next demo combines the previous two pieces on one screen — a virtual process walkthrough of an installed cell, on the actual scanned environment, before any equipment moves. Directly applicable to Beacon §3.4 — operator training, digital work-instruction validation, and pre-build line review.

The captured scene is editable.

From a worn drill-bit to a classified defect.

BitXaminer — drill-bit inspection deployed at Aramco. Multi-view photogrammetric capture reconstructs each bit at sub-millimetre fidelity — individual cutter elements on a ~10 mm cutter zone, micro-chips, and fracture lines are resolved and graded. Same reconstruction discipline maps directly to Beacon §3.1's 0.10 mm electrical-clip target.

BitXaminer · full-station automation, every bit size.

The next phase replaces every manual handoff with a closed-loop facility. A conveyor + overhead gantry walks each drill-bit through loading → cleaning → coloring → scanning → unloading; a robotic arm and adaptive camera rig position the optics for any bit geometry — no human in the dimensional loop.

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BitXaminer automated facility · concept renders

What changes Drill-bits flow through the line on a conveyor + overhead gantry. Loading and unloading stations sit at opposite ends; cleaning, coloring, and scanning stations bracket the middle.

Adaptive optics A robotic arm repositions the camera rig for each bit size and geometry. The scan capture protocol becomes invariant to bit class.

Why it matters Closes the loop from retrieval → classified defect record with no manual handoff. Throughput stops being limited by an operator's day.

Edge computer vision, shipped to a working rig.

GenSet Analytics — a camera and Jetson box mounted on the rig deck, watching four diesel generators and reporting each one's load class every five seconds. The same edge-CV discipline AME needs for inline anomaly detection at AMP2.

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ADES drilling rig · solar-powered camera trailer · PTZ cam + Jetson Xavier NX

What the camera watches · exhaust lid angle → load class

Drillstring dynamics, from a single camera.

Same edge-CV camera, different inference: video stabilisation → ROI tracking → signal generation → downhole RPM and vibration estimates. Stick-slip and twist-off events surface on a dashboard without putting any new sensor downhole.

01 · input

02 · process

03 · output

Robotics partner — United Robotics Group.

KAUST robotics collaboration with United Robotics Group (Germany) — a unified portfolio spanning autonomous mobile robots, lab-automation manipulators, and a humanoid programme. Direct pathway into Beacon §3.2 (humanoid & advanced robotics).

How this maps to Project Beacon.

Omniverse compatibility. 3D-Gaussian scenes we capture at KAUST are natively importable into NVIDIA Omniverse via the NuRec libraries (3DGS → OpenUSD), so they sit alongside Lucid's existing Omniverse work on the AMP1 Powertrain Pack Line rather than replacing it.