{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T15:18:19Z","timestamp":1778858299543,"version":"3.51.4"},"reference-count":39,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iros60139.2025.11247514","type":"proceedings-article","created":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T18:54:45Z","timestamp":1764269685000},"page":"7941-7948","source":"Crossref","is-referenced-by-count":5,"title":["GRaD-Nav: Efficiently Learning Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics"],"prefix":"10.1109","author":[{"given":"Qianzhong","family":"Chen","sequence":"first","affiliation":[{"name":"Stanford University,Department of Mechanical Engineering,Stanford,CA,USA,94305"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiankai","family":"Sun","sequence":"additional","affiliation":[{"name":"Stanford University,Aeronautics and Astronautics Department,Stanford,CA,USA,94305"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naixiang","family":"Gao","sequence":"additional","affiliation":[{"name":"Stanford University,Department of Mechanical Engineering,Stanford,CA,USA,94305"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JunEn","family":"Low","sequence":"additional","affiliation":[{"name":"Stanford University,Department of Mechanical Engineering,Stanford,CA,USA,94305"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timothy","family":"Chen","sequence":"additional","affiliation":[{"name":"Stanford University,Aeronautics and Astronautics Department,Stanford,CA,USA,94305"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mac","family":"Schwager","sequence":"additional","affiliation":[{"name":"Stanford University,Aeronautics and Astronautics Department,Stanford,CA,USA,94305"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.20546\/ijcmas.2019.801.264"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.scijus.2021.11.002"},{"issue":"10","key":"ref3","first-page":"649","article-title":"Applications of drones in infrastructures: Challenges and opportunities","volume":"13","author":"Fan","year":"2019","journal-title":"International Journal of Mechanical and Mechatronics Engineering"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abm5954"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2024.3400838"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nature14542"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3273399"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06419-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/icra55743.2025.11128088"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386109"},{"key":"ref11","article-title":"Pybullet, a python module for physics simulation for games, robotics and machine learning","author":"Coumans","year":"2016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3004325"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"ref15","article-title":"Fast-splat: Fast, ambiguity-free semantics transfer in gaussian splatting","author":"Shorinwa","year":"2024"},{"key":"ref16","article-title":"Siren: Semantic, initialization-free registration of multi-robot gaussian splatting maps","author":"Shorinwa","year":"2025"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3293308"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3150497"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tro.2025.3552348"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2024.3386394"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636708"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/lra.2024.3386053"},{"key":"ref23","article-title":"Gaussian splatting to real world flight navigation transfer with liquid networks","author":"Quach","year":"2024"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/lra.2025.3553785"},{"key":"ref25","article-title":"Difftaichi: Differentiable programming for physical simulation","author":"Hu","year":"2019"},{"key":"ref26","article-title":"Warp: A high-performance python framework for gpu simulation and graphics","volume-title":"NVIDIA GPU Technology Conference (GTC)","author":"Macklin"},{"key":"ref27","article-title":"Brax\u2013A differentiable physics engine for large scale rigid body simulation","author":"Freeman","year":"2021"},{"issue":"2","key":"ref28","first-page":"4","article-title":"Dojo: A differentiable simulator for robotics","volume":"9","author":"Howell","year":"2022"},{"key":"ref29","first-page":"7805","article-title":"Pods: Policy optimization via differentiable simulation","volume-title":"International Conference on Machine Learning","author":"Mora"},{"key":"ref30","article-title":"Accelerated policy learning with parallel differentiable simulation","author":"Xu","year":"2022"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161144"},{"key":"ref32","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume":"32","author":"Paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.1998.712192"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591516"},{"key":"ref35","article-title":"Squeezenet: Alexnet-level accuracy with 50x fewer parameters and\u00a1 0.5 mb model size","author":"Iandola","year":"2016"},{"key":"ref36","article-title":"beta-vae: Learning basic visual concepts with a constrained variational framework","volume":"3","author":"Higgins","year":"2017","journal-title":"ICLR (Poster)"},{"key":"ref37","first-page":"137","article-title":"A focused backpropagation algorithm for temporal pattern recognition","volume-title":"Backpropagation","author":"Mozer","year":"2013"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.12794\/metadc1505267"},{"key":"ref39","article-title":"Dreamwaq: Deep reinforcement learning for quadrupedal locomotion","author":"Wang","year":"2023"}],"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\/11247514.pdf?arnumber=11247514","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T12:38:34Z","timestamp":1766061514000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11247514\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/iros60139.2025.11247514","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}