{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T16:34:28Z","timestamp":1787243668634,"version":"build-2736575974"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003600","name":"Korean National Police Agency","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003600","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003661","name":"Korea Institute for Advancement of Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iros60139.2025.11246000","type":"proceedings-article","created":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T18:54:45Z","timestamp":1764269685000},"page":"19944-19949","source":"Crossref","is-referenced-by-count":1,"title":["RDMM: Enhancing Household Robotics with On-Device Contextual Memory and Decision Making"],"prefix":"10.1109","author":[{"given":"Shady","family":"Nasrat","sequence":"first","affiliation":[{"name":"Pusan National University,Faculty of Electrical Engineering,Busan,South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minseong","family":"Jo","sequence":"additional","affiliation":[{"name":"Pusan National University,Faculty of Electrical Engineering,Busan,South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seonil","family":"Lee","sequence":"additional","affiliation":[{"name":"Pusan National University,Faculty of Electrical Engineering,Busan,South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Myungsu","family":"Kim","sequence":"additional","affiliation":[{"name":"Pusan National University,Faculty of Electrical Engineering,Busan,South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiho","family":"Lee","sequence":"additional","affiliation":[{"name":"Pusan National University,Faculty of Electrical Engineering,Busan,South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yeoncheol","family":"Jang","sequence":"additional","affiliation":[{"name":"Pusan National University,Faculty of Electrical Engineering,Busan,South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seung-Joon","family":"Yi","sequence":"additional","affiliation":[{"name":"Pusan National University,Faculty of Electrical Engineering,Busan,South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Palm-e: An embodied multimodal language model","author":"D","year":"2023"},{"key":"ref2","article-title":"Open x-embodiment: Robotic learning datasets and rt-x models","author":"C","year":"2024"},{"key":"ref3","article-title":"Chatgpt for robotics: Design principles and model abilities","author":"V","year":"2023"},{"key":"ref4","article-title":"Do as i can, not as i say: Grounding language in robotic affordances","author":"A","year":"2022"},{"key":"ref5","article-title":"Voxposer: Composable 3d value maps for robotic manipulation with language models","author":"H","year":"2023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/icra57147.2024.10610183"},{"key":"ref7","article-title":"Language models as zero-shot planners: Extracting actionable knowledge for embodied agents","author":"H","year":"2022"},{"key":"ref8","article-title":"Planning with large language models via corrective re-prompting","author":"R","year":"2022"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-023-10131-7"},{"key":"ref10","article-title":"Progprompt: Generating situated robot task plans using large language models","author":"S","year":"2022"},{"key":"ref11","article-title":"LM-nav: Robotic navigation with large pre-trained models of language, vision, and action","volume-title":"6th Annual Conference on Robot Learning","author":"Shah"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-023-10139-z"},{"key":"ref13","article-title":"Llm+p: Empowering large language models with optimal planning proficiency","author":"L","year":"2023"},{"key":"ref14","article-title":"Vision-language interpreter for robot task planning","author":"S","year":"2024"},{"key":"ref15","article-title":"Code as policies: Language model programs for embodied control","author":"L","year":"2023"},{"key":"ref16","article-title":"Large language models as generalizable policies for embodied tasks","author":"Szot","year":"2023"},{"key":"ref17","article-title":"Llama 3 model card","year":"2024"},{"key":"ref18","article-title":"mistral-7b-instruct-0.3v","author":"ai","year":"2024"},{"key":"ref19","article-title":"Qwen2 technical report","author":"Y","year":"2024"},{"key":"ref20","article-title":"Gptq: Accurate post-training quantization for generative pre-trained transformers","author":"Frantar","year":"2023"},{"key":"ref21","article-title":"Qlora: Efficient finetuning of quantized llms","author":"Dettmers","year":"2023"},{"key":"ref22","article-title":"LoRA: Low-rank adaptation of large language models","volume-title":"International Conference on Learning Representations","author":"Hu"},{"key":"ref23","article-title":"Internlm-xcomposer2: Mastering free-form text-image composition and comprehension in vision-language large model","author":"D","year":"2024"}],"event":{"name":"2025 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Hangzhou, China","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11245651\/11245652\/11246000.pdf?arnumber=11246000","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T10:42:23Z","timestamp":1766054543000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11246000\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/iros60139.2025.11246000","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}