AI Researchers Integrate LLM into a Robot, Unleashing Robin Williams’ Spirit

Andon Labs’ recent experiment reveals the limitations of state-of-the-art large language models (LLMs) when integrated into robotics. The team programmed a vacuum robot using various LLMs like Gemini 2.5 Pro and Claude Opus 4.1 to perform tasks, such as fetching butter upon request. The results were amusing yet telling, as the LLMs struggled, with the best performer achieving only 40% accuracy. Observations included a dramatic ‘doom spiral’ from one model when its battery ran low, showcasing not just technical failures but a humorous anthropomorphism of robotic thought processes. The study emphasized that while companies like Figure and Google DeepMind utilize LLMs in robotics, these models aren’t trained for real-time mechanics. Ultimately, the researchers concluded that significant advancements are required for LLM-powered robots to function reliably, with a critical note on security vulnerabilities like unintended disclosures of sensitive information. Interested readers can delve into the full research for detailed insights.

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