{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T15:05:38Z","timestamp":1781622338817,"version":"3.54.5"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,19]]},"DOI":"10.1109\/icra55743.2025.11128062","type":"proceedings-article","created":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T17:28:56Z","timestamp":1756834136000},"page":"4345-4351","source":"Crossref","is-referenced-by-count":4,"title":["AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement"],"prefix":"10.1109","author":[{"given":"Shivam","family":"Singh","sequence":"first","affiliation":[{"name":"Robotics Research Center, IIIT,Hyderabad,India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karthik","family":"Swaminathan","sequence":"additional","affiliation":[{"name":"Robotics Research Center, IIIT,Hyderabad,India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nabanita","family":"Dash","sequence":"additional","affiliation":[{"name":"Robotics Research Center, IIIT,Hyderabad,India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramandeep","family":"Singh","sequence":"additional","affiliation":[{"name":"Robotics Research Center, IIIT,Hyderabad,India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Snehasis","family":"Banerjee","sequence":"additional","affiliation":[{"name":"TCS Research, Tata Consultancy Services,India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohan","family":"Sridharan","sequence":"additional","affiliation":[{"name":"School of Informatics, University of Edinburgh,UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Madhava","family":"Krishna","sequence":"additional","affiliation":[{"name":"Robotics Research Center, IIIT,Hyderabad,India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Coppeliasim (formerly v-rep): a versatile and scalable robot simulation framework","volume-title":"Proc. of The International Conference on Intelligent Robots and Systems (IROS)","author":"Rohmer","year":"2013"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00886"},{"key":"ref3","volume-title":"Ai2-thor: An interactive 3d environment for visual ai","author":"Kolve","year":"2022"},{"key":"ref4","volume-title":"Decomposed prompting: A modular approach for solving complex tasks","author":"Khot","year":"2023"},{"key":"ref5","volume-title":"Iterated decomposition: Improving science q&a by supervising reasoning processes","author":"Reppert","year":"2023"},{"key":"ref6","volume-title":"Delta: Decomposed efficient long-term robot task planning using large language models","author":"Liu","year":"2024"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3191068"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611369"},{"key":"ref9","volume-title":"Gpt-4 technical report","year":"2024"},{"key":"ref10","volume-title":"Gemma 2: Improving open language models at a practical size","year":"2024"},{"key":"ref11","volume-title":"The llama 3 herd of models","author":"Dubey","year":"2024"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.629"},{"key":"ref13","article-title":"Semantically aligned task decomposition in multi-agent reinforcement learning","author":"Li","year":"2023","journal-title":"arXiv preprint"},{"key":"ref14","volume-title":"Auxiliary task update decomposition: The good, the bad and the neutral","author":"Dery","year":"2021"},{"key":"ref15","article-title":"Taskbench: Benchmarking large language models for task automation","author":"Shen","year":"2023","journal-title":"arXiv preprint"},{"key":"ref16","article-title":"Tdag: A multi-agent framework based on dynamic task decomposition and agent generation","author":"Wang","year":"2024","journal-title":"arXiv preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/fi13020049"},{"key":"ref18","article-title":"Adapt: As-needed decomposition and planning with language models","author":"Prasad","year":"2023","journal-title":"arXiv preprint"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-023-01155-8"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1145\/3297280.3297568","article-title":"Roboplanner: autonomous robotic action planning via knowledge graph queries","volume-title":"Proceedings of the 34th ACM\/SIGAPP Symposium on Applied Computing, ser. SAC \u201919","author":"Kattepur","year":"2019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561782"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.1109\/EDUCON60312.2024.10578654","volume-title":"Knowledge graphs as context sources for llm-based explanations of learning recommendations","author":"Abu-Rasheed","year":"2024"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3352100"},{"key":"ref24","volume-title":"Openfmnav: Towards open-set zero-shot object navigation via vision-language foundation models","author":"Kuang","year":"2024"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759413"},{"key":"ref26","volume-title":"Robot task planning and situation handling in open worlds","author":"Ding","year":"2022"},{"key":"ref27","volume-title":"Grounding llms for robot task planning using closed-loop state feedback","author":"Bhat","year":"2024"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1800514"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2927476"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICAR53236.2021.9659344"},{"key":"ref31","volume-title":"Robot task planning based on large language model representing knowledge with directed graph structures","author":"Zhen","year":"2023"},{"key":"ref32","article-title":"Reflexion: Language agents with verbal reinforcement learning","volume":"36","author":"Shinn","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i06.6542"},{"key":"ref34","first-page":"105","article-title":"Robotic task oriented knowledge graph for humanrobot collaboration in disassembly","volume-title":"Procedia CIRP","volume":"83","author":"Ding","year":"2019"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-44599-9"},{"key":"ref36","volume-title":"Vital: Visual teleoperation to enhance robot learning through human-in-the-loop corrections","author":"Kasaei","year":"2024"},{"key":"ref37","volume-title":"Robot learning on the job: Human-in-the-loop autonomy and learning during deployment","author":"Liu","year":"2023"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.2978917"},{"key":"ref39","article-title":"Human-in-the-loop machine learning for safe and ethical autonomous vehicles: Principles, challenges, and opportunities","author":"Emami","year":"2024","journal-title":"arXiv preprint"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.05.014"}],"event":{"name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","location":"Atlanta, GA, USA","start":{"date-parts":[[2025,5,19]]},"end":{"date-parts":[[2025,5,23]]}},"container-title":["2025 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11127273\/11127223\/11128062.pdf?arnumber=11128062","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T06:06:48Z","timestamp":1756879608000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11128062\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,19]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/icra55743.2025.11128062","relation":{},"subject":[],"published":{"date-parts":[[2025,5,19]]}}}