Read recent papers in robot learning, simulation and vision. Implement them, find where they break, and propose improvements.
Build data and evaluation pipelines: scene generation, simulated robot rollouts, graders and benchmarks. Most of our work is eval-backed: if we can't measure a change, it doesn't ship.
