Six integrated research threads — from algorithms and simulation to physical testbeds.
Deep dives into the problems and methods that drive our lab.
High-fidelity digital twins built on ROS 2 and Unity let us validate control logic, inject faults, and stress-test cyber-physical systems before deployment — bridging the sim-to-real gap for robotic workcells and logistics hubs.
We develop GCode interception and validation pipelines for CNC systems and produce custom tooling on our in-house machines, closing the loop between digital design and physical production.
From job-shop scheduling to multi-agent coordination in smart factory layouts, our algorithms minimize cycle time and energy use while meeting throughput targets.
We build computer vision systems that inspect parts in real time, catching defects at the point of manufacture and feeding data back into process-control loops.
Sensor data flows from PLCs, conveyors, and robotic arms into pipelines that clean, transform, and visualize operational metrics — providing the data layer that makes Industry 4.0 possible.
Our testbed automation work ensures that cyber-physical systems remain operational under adverse conditions — validating edge-first architectures for contested and degraded environments.
Applied software built and maintained by the lab.
Interactive solver and algorithmic visualization for production scheduling reasoning.
Open ProjectRapid serial visual presentation research tool for cognitive workflows.
Open Project