{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T19:58:49Z","timestamp":1764014329968,"version":"3.45.0"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Nanjing Science and Technology Plan","award":["202309018"],"award-info":[{"award-number":["202309018"]}]},{"name":"Science and Technology Major Project of Jiangsu Province","award":["BG2024041"],"award-info":[{"award-number":["BG2024041"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62571395"],"award-info":[{"award-number":["62571395"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1109\/lra.2025.3606354","type":"journal-article","created":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T18:23:20Z","timestamp":1757010200000},"page":"11164-11171","source":"Crossref","is-referenced-by-count":0,"title":["KAN Policy: Learning Efficient and Smooth Robotic Trajectories via Kolmogorov-Arnold Networks"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5313-2613","authenticated-orcid":false,"given":"Zikang","family":"Chen","sequence":"first","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8714-0975","authenticated-orcid":false,"given":"Fei","family":"Gao","sequence":"additional","affiliation":[{"name":"Hangzhou Research Institute, Xidian University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6863-569X","authenticated-orcid":false,"given":"Ziya","family":"Yu","sequence":"additional","affiliation":[{"name":"Hohai University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5983-2384","authenticated-orcid":false,"given":"Peng","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"158","article-title":"Implicit behavioral cloning","volume-title":"Proc. Conf. Robot. Learn.","author":"Florence","year":"2022"},{"key":"ref2","first-page":"1678","article-title":"What matters in learning from offline human demonstrations for robot manipulation","volume-title":"Proc. 5th Conf. Robot. Learn.","volume":"164","author":"Mandlekar","year":"2021"},{"key":"ref3","first-page":"22955","article-title":"Behavior transformers: Cloning $k$ modes with one stone","volume-title":"Proc. 36th Int. Conf. Neural Inf. Process. Syst.","author":"Shafiullah","year":"2022"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2023.XIX.026"},{"key":"ref5","first-page":"67","article-title":"3D diffusion policy: Generalizable visuomotor policy learning via simple 3D representations","volume-title":"Proc. 8th Conf. Robot Learn.","author":"Ze","year":"2024"},{"key":"ref6","first-page":"67195","article-title":"Efficient diffusion policies for offline reinforcement learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kang","year":"2024"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01712"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-14705-5_1"},{"key":"ref11","article-title":"KAN: Kolmogorov-Arnold Networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liu","year":"2025"},{"key":"ref12","first-page":"13725","article-title":"U-KAN makes strong backbone for medical image segmentation and generation","volume-title":"Proc. AAAI Conf. Artif. Intell.","author":"Li","year":"2025"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s24237683"},{"key":"ref14","article-title":"Kolmogorov-Arnold transformer","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Yang","year":"2025"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/78.193220"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.20965\/ijat.2014.p0265"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/robotics12040118"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2022.02.174"},{"key":"ref20","first-page":"953","article-title":"On the representation of continuous functions of several variables by superposition of continuous functions of one variable and addition","volume":"114","author":"Kolmogorov","year":"1957","journal-title":"Doklady Akademii Nauk SSSR"},{"key":"ref21","first-page":"679","article-title":"On the representation of continuous functions of three variables by superpositions of continuous functions of two variables","volume":"114","author":"Arnol","year":"1957","journal-title":"Doklady Akademii Nauk SSSR"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00365-009-9054-2"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1993.5.6.928"},{"key":"ref26","first-page":"3387","article-title":"Neural networks and rational functions","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Telgarsky","year":"2017"},{"key":"ref27","first-page":"14344","article-title":"Rational neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Boull","year":"2020"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.23919\/ICCAS63016.2024.10773080"},{"key":"ref29","first-page":"2672","article-title":"Generative adversarial networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Goodfellow","year":"2014"},{"key":"ref30","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2014"},{"key":"ref31","first-page":"6528","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho","year":"2020"},{"key":"ref32","first-page":"681","article-title":"Bayesian learning via stochastic gradient Langevin dynamics","volume-title":"Proc. 28th Int. Conf. Mach. Learn.","author":"Welling","year":"2011"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2024.XX.045"},{"key":"ref34","article-title":"Data scaling laws in imitation learning for robotic manipulation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Lin","year":"2025"},{"key":"ref35","first-page":"2024","article-title":"DINOv2: Learning robust visual features without supervision","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Oquab"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11671"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9045(72)90080-9"},{"key":"ref38","first-page":"1025","article-title":"Relay policy learning: Solving long-horizon tasks via imitation and reinforcement learning","volume-title":"Proc. Conf. Robot. Learn.","volume":"100","author":"Gupta","year":"2020"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3387110"},{"key":"ref40","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Radford","year":"2021"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7083369\/11169302\/11151197.pdf?arnumber=11151197","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T19:02:01Z","timestamp":1764010921000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11151197\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":40,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/lra.2025.3606354","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2025,11]]}}}