RoboAuditor-LLM: A Robotic System for Energy Auditing via a Large Language Model and an Actionable Semantic Feature Map

Weijia Cai, Lei Huang, Zhengbo Zou

Open source

DOI: 10.1061/aomjah.aoeng-0087
Published: 2025-12-31
Container: ASCE OPEN: Multidisciplinary Journal of Civil Engineering
Publisher: American Society of Civil Engineers (ASCE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1061/aomjah.aoeng-0087,
  title = {RoboAuditor-LLM: A Robotic System for Energy Auditing via a Large Language Model and an Actionable Semantic Feature Map},
  author = {Weijia Cai and Lei Huang and Zhengbo Zou},
  year = {2025},
  journal = {ASCE OPEN: Multidisciplinary Journal of Civil Engineering},
  doi = {10.1061/aomjah.aoeng-0087},
  url = {https://doi.org/10.1061/aomjah.aoeng-0087}
}

RIS

TY  - JOUR
TI  - RoboAuditor-LLM: A Robotic System for Energy Auditing via a Large Language Model and an Actionable Semantic Feature Map
AU  - Weijia Cai
AU  - Lei Huang
AU  - Zhengbo Zou
PY  - 2025
JO  - ASCE OPEN: Multidisciplinary Journal of Civil Engineering
DO  - 10.1061/aomjah.aoeng-0087
UR  - https://doi.org/10.1061/aomjah.aoeng-0087
ER  -

APA

Cai, W., Huang, L., & Zou, Z. (2025). RoboAuditor-LLM: A Robotic System for Energy Auditing via a Large Language Model and an Actionable Semantic Feature Map. ASCE OPEN: Multidisciplinary Journal of Civil Engineering. https://doi.org/10.1061/aomjah.aoeng-0087

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crossref · retrieved 2026-11-08T06:33:12.844Z