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AI Software Engineer · Robotics Simulation · Robot Learning

Building simulation environments and training robot policies for manipulation, then studying what they can retain, transfer, and reuse when the task or domain changes.

Force-Aware Peg Insertion

4 PPO policy variants, 3 seeds each: force observation roughly doubled task success, from 7.3% to 14.2%.

Isaac LabPPORL-Games

Code

OpenUSD Digital-Twin Pipeline

Git-versioned Isaac Sim workspace, scenes as diffable USD text, driven from a local agent.

Isaac SimOpenUSDDocker

Code

InstruX

Orchestrates across 6 tools (Isaac Sim, Isaac Lab, Cosmos, Omniverse, OpenUSD, and ROS2) into one robot-policy decision layer.

Isaac SimIsaac LabOpenUSD

Live

My direction is robot learning through simulation: building manipulation environments, training policies, and studying how learned skills can transfer across tasks, objects, and domains instead of being relearned from scratch. Full background on the CV.