<ul><li>Researchers explore the use of GPT-4 on a humanoid robot in simulation and real-world environments.</li><li>The study focuses on a large language model (LLM) driven behavior method for the robotic agent.</li><li>The method addresses concerns around safety, task transitions, time horizons, and state feedback.</li><li>Experiments show that the approach produces feasible outputs with smooth transitions and achieves user requests successfully.</li></ul>

Exploring GPT-4 for Robotic Agent Strategy with Real-Time State Feedback and a Reactive Behaviour Framework

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