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Apr 17, 2024 · In this paper, we propose a novel approach to address this gap by incorporating human awareness into LLM-based robot task planning.
Using the scene graph as the environment representation, the human user queries a Large Language Model. (LLM) to predict the next possible human activities and ...
Apr 17, 2024 · In this paper, we propose a novel approach to address this gap by incorporating human awareness into LLM-based robot task planning. To obtain an ...
Towards Human Awareness in Robot Task Planning with Large Language Models. Liu, Y., Palmieri, L., Koch, S., Georgievski, I., & Aiello, M. Technical Report ...
最近在大型语言模型(LLMs)研究方面的突破已经引发了许多研究领域的转型。值得注意的是,LLMs的整合极大地增强了机器人任务和运动规划(TAMP)的性能。
A novel approach to incorporate human awareness into robot task planning by leveraging Large Language Models (LLMs) and 3D scene graphs.
Technical Report 2404.11267, arXiv, 2024. Towards Human Awareness in Robot Task Planning with Large Language Models [link] Paper link bibtex.
Oct 21, 2024 · The authors propose using LLMs to bridge the gap between high-level human commands and the robot's task planning. LLMs, such as GPT or similar ...
Oct 15, 2024 · Abstract—We introduce a pipeline that enhances a general- purpose Vision Language Model, GPT-4V(ision), to facilitate one-.
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This review paper offers a comprehensive analysis of this nascent but rapidly evolving domain, spotlighting the recent advances of Large Language Models (LLMs)