Large language model-based task planning for service robots: A review

Shaohan Bian; Ying Zhang; Guohui Tian; Zhiqiang Miao; Edmond Q. Wu; Simon X. Yang; Weili Ding

doi:10.1016/j.birob.2026.100274

March 1, 2026SHILAP Revista de lepidopterologíaOpen Access

Large language model-based task planning for service robots: A review

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Key Points

Task planning frameworks using large language models can enhance robotic performance and user interaction capabilities.
Recent advancements focus on integrating natural language processing with service robots to streamline task execution in real-world scenarios.
The review examines various robotic frameworks and how they leverage large language model techniques for efficient task management.
The implications of these developments suggest a transformative impact on how service robots communicate and operate in everyday environments.

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Implication

Review reveals advancements in task planning for service robots using large language models, indicating significant potential for improved interaction and efficiency.

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Cite This Study

Bian et al. (2026) studied this question.

synapsesocial.com/papers/69a75f2ac6e9836116a2a572 https://doi.org/10.1016/j.birob.2026.100274

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Large language model-based task planning for service robots: A review

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Large language model-based task planning for service robots: A review

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