Projects

Current research, and the selected projects that led to it.

00/Software & code

MoCArU
Low-cost multi-camera ArUco motion capture for swarm ground robots (IEEE SMC 2023).
anon-compression
Region-of-interest loss for anonymizing learned image compression (IEEE CASE 2024).
cad-scenegraph
Semantic scene-graph enrichment of CAD industrial environments (IEEE SSRR 2025).

01/Current research

2025 —

Turning CAD models into structured, queryable world representations that robots and reasoning systems can share.

Supervised student: Nathan Pascal Walus

2023 —

Low-cost sensing infrastructure that robots and IoT devices share, so position becomes a property of the environment rather than the robot.

02/Selected projects

2021 — 2024

Multi-robot task allocation and control for garment manufacturing that has to reconfigure itself for every order.

2018 — 2021

Extracting durable environmental knowledge from sparse, incidental observations made by vehicles going about their business.

2020 — 2022

A heterogeneous robot team inspecting an industrial plant — the field test that made the coordination problem concrete.