An LLM agent with short-term and long-term memory improved weighted F1 for construction locomotion prediction from 0.73 to 0.90 on a self-collected dataset of 226 multimodal samples.
Integrating exoskeletons in the construction sector: a systematic review of empirical evaluation tools and future directions
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Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning
An LLM agent with short-term and long-term memory improved weighted F1 for construction locomotion prediction from 0.73 to 0.90 on a self-collected dataset of 226 multimodal samples.