APIARY Astrobee paper trains free-flyer control policy in NVIDIA Isaac Lab
Evidence notes
- The APIARY paper describes reinforcement-learning control for autonomous planning in-space assembly using the International Space Station Astrobee platform.
- A six-degree-of-freedom control policy is trained with PPO in NVIDIA Isaac Lab using randomized goal poses and mass distributions.
Company context
NVIDIA is a compute and AI infrastructure company providing the simulation, training, edge-compute and model platforms used across modern robotics. Its stack includes tools for robot learning, digital twins, perception and on-device inference.