Frontier language models can control robots competitively with specialized policies on many tasks, but hybrid approaches that let the agent delegate to specialized policies achieve better overall performance—suggesting future robot agents should be designed to strategically invoke specialized c...
This paper evaluates GPT-6-Astra, a frontier multimodal language model, as a robot control agent using EBench. The study compares direct control (agent generates commands directly) versus a harness approach (agent can invoke specialized policies).