Systematically Exploring the Capabilities of GPT-6 Astra as Embodied Policies
This research tested GPT-6 Astra as an embodied policy to see if it could generate robot actions for complex physical tasks. Astra showed strong performance in navigation and humanoid locomotion, but struggled with mobile manipulation and reliable dense motion generation. The study found that hybrid control methods significantly improved success rates compared to direct control, suggesting Astra is best used when cooperating with learned policies.