Resources
Technical material for engineering leaders and development teams building complex physical systems.
Deriving the discrete-time Kalman filter from finite-horizon batch estimation
Technical note (preprint) by Maien Hamed. Derives the Kalman filter as a block recursion of the inverse batch innovation covariance, from a constrained quadratic program and block linear algebra.
Capability summary: spatial capture and sensor integration
One-page overview of site capture feasibility, sensor integration diagnostics, and custom capture rigs (PDF, prepared for ROAR West 2026).
Modular capture rig: 30-second video
The four-camera prototype and its custom timing core, with a camera-derived 3D map from a lab recording.
VoluBench stockpile measurement
A related service for aggregate and bulk-material stockpile volume measurement.
Technical briefings
More written notes are in preparation. Until then, we can walk your team through any of these topics in a short technical session.
Why reduced-order models fail in practice
Physics-informed ML beyond hype
Bridging simulation and controls
Digital twin architecture for robotics
Why simulation-only validation breaks down
Time synchronization for camera, LiDAR, IMU, and GNSS rigs
Need a specific technical topic covered?
Tell us what your engineering team is trying to evaluate. We can prioritize focused technical notes and visual explainers.