AI Research
Toward Self-Adaptive Physical AI: Can LLM Agents Manage Long-Horizon Physical Tasks?
Bridging the gap between complex reasoning and real-world physical autonomy.
Large Language Model (LLM) agents offer a promising path toward autonomously managing long-term physical tasks without human intervention. However, physical tasks require agents to continuously observe the environment, make consequential actions, and remain effective as the envir...
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ArXiv CS.AI
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ArXiv CS.AI
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Bridging the gap between linguistic reasoning and real-world physical dexterity is the next major hurdle for autonomous robotics. Successfully enabling LLMs to manage long-horizon tasks could finally shift artificial intelligence from static digital assistants into truly adaptive physical labor.
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