Description

Welcome to season 3 of the Confluence podcast! In this episode, AECOM’s Matthew Anderle joins Randall Stevens and Evan Troxel to break down how AECOM is pushing reality capture forward with custom-built robotics—rovers for “old dirty basements,” pipe crawlers for long culverts, and aquatic platforms for below-water inspections. They discuss layering environmental sensing on top of LiDAR point clouds, why digital twins must be operational (not just “great existing conditions models”), and what it means to help deliver LA28 as the first Olympics delivered in BIM.

This episode is a tour through AECOM’s “mobile autonomous reality capture” toolkit, purpose built to extend scanning into places people can’t (or shouldn’t) go.

They discuss:

• Why AECOM built a robotics program for reality capture: safety, access, and repeatability in harsh/confined environments
• “Sensorium” point clouds: humidity, temperature, air quality/particulates, and other context layered onto spatial data
• Hardware + workflow highlights: wireless FPV, safety tethers, modular payloads, off-the-shelf tool batteries, and custom electronics
• The “fiducial arm” problem: how to create registration targets inside smooth pipes so 500’ scans actually align
• Makerspaces, trains, and hands-on fabrication as a pipeline for future STEM + AEC careers
• LA 2028: transforming ~60 venues on an immovable deadline, and what it means to run the program’s common data environment

Links from the episode

• AECOM: https://aecom.com/
• Matt Enderle on LinkedIn
• LA28: https://la28.org/
• Digital twin (overview): https://en.wikipedia.org/wiki/Digital_twin

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The Confluence podcast is a collaboration between TRXL and AVAIL, and is produced by TRXL Media.

• Learn more about them at https://trxl.co/media and https://getavail.com
• Learn more about the Confluence podcast at https://confluence.getavail.com/podcast
• Learn about the Confluence events at https://confluence.getavail.com