{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T16:49:53Z","timestamp":1780332593605,"version":"3.54.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92048205"],"award-info":[{"award-number":["92048205"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82072228"],"award-info":[{"award-number":["82072228"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["23640770100"],"award-info":[{"award-number":["23640770100"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3559076","type":"journal-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T17:55:59Z","timestamp":1744221359000},"page":"65726-65736","source":"Crossref","is-referenced-by-count":3,"title":["Task Decomposition and Self-Evaluation Mechanisms for Home Healthcare Robots Using Large Language Models"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8734-9610","authenticated-orcid":false,"given":"Liteng","family":"Liu","sequence":"first","affiliation":[{"name":"Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangmin","family":"Jiang","sequence":"additional","affiliation":[{"name":"Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingzhen","family":"Guo","sequence":"additional","affiliation":[{"name":"Centre for Collaborative Research, Shanghai University of Medicine and Health Sciences, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9277-0066","authenticated-orcid":false,"given":"Wenlong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Centre for Collaborative Research, Shanghai University of Medicine and Health Sciences, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-34999-7_7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-022-02712-y"},{"issue":"6","key":"ref3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3653304","article-title":"Harnessing the power of LLMs in practice: A survey on ChatGPT and beyond","volume":"18","author":"Yang","year":"2024","journal-title":"ACM Trans. Knowl. Discovery Data"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123618"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3514473"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3357432"},{"key":"ref7","first-page":"9118","article-title":"Language models as zero-shot planners: Extracting actionable knowledge for embodied agents","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Huang"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3410155"},{"key":"ref9","article-title":"LLM-BRAIn: AI-driven fast generation of robot behaviour tree based on large language model","author":"Lykov","year":"2023","journal-title":"arXiv:2305.19352"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3640543.3645200"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-1717-0_12"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-024-03120-3"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-024-40231-1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160591"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3346800"},{"key":"ref16","article-title":"LLM-based human\u2013robot collaboration framework for manipulation tasks","author":"Liu","year":"2023","journal-title":"arXiv:2308.14972"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3265893"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3338514"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642462"},{"key":"ref20","first-page":"1303","article-title":"Learning language-conditioned robot behavior from offline data and crowd-sourced annotation","volume-title":"Proc. Conf. Robot Learn.","author":"Nair"},{"key":"ref21","article-title":"RT-2: Vision-language-action models transfer web knowledge to robotic control","author":"Brohan","year":"2023","journal-title":"arXiv:2307.15818"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3415931"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3470850"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.319"},{"key":"ref25","article-title":"HuaTuo: Tuning LLaMA model with Chinese medical knowledge","author":"Wang","year":"2023","journal-title":"arXiv:2304.06975"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-demos.38"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.147"},{"key":"ref28","article-title":"Prompt engineering guidelines for LLMs in requirements engineering","author":"Arvidsson","year":"2023"},{"key":"ref29","article-title":"A prompt pattern catalog to enhance prompt engineering with ChatGPT","author":"White","year":"2023","journal-title":"arXiv:2302.11382"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.153"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3524906"},{"key":"ref32","first-page":"22631","article-title":"The flan collection: Designing data and methods for effective instruction tuning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Longpre"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610948"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161317"},{"key":"ref35","article-title":"Do as I can, not as I say: Grounding language in robotic affordances","author":"Ahn","year":"2022","journal-title":"arXiv:2204.01691"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10960333.pdf?arnumber=10960333","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,21]],"date-time":"2025-04-21T17:40:23Z","timestamp":1745257223000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10960333\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3559076","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}