Digital Twin

As part of a collective effort to enable Autonomous Science, I have been working to develop “digital twins” of dexterous robotic systems, where the physical hardware is tightly coupled with a high-fidelity simulation. The simulation environment can then be used to control the robot, monitor an autonomous system, run predictive analyses of future experiments, and enable robot learning.

View the project GitHub Page!

This work was presented at an NVIDIA Omniverse Community Spotlight Livestream in 2024. Watch the recording here!

The following presentation was given at the Sandia XR conference in 2024.