{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T18:37:53Z","timestamp":1772303873039,"version":"3.50.1"},"reference-count":50,"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\/iros60139.2025.11247192","type":"proceedings-article","created":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T18:54:45Z","timestamp":1764269685000},"page":"18782-18789","source":"Crossref","is-referenced-by-count":1,"title":["Omni-Scan: Creating Visually-Accurate Digital Twin Object Models Using a Bimanual Robot with Handover and Gaussian Splat Merging"],"prefix":"10.1109","author":[{"given":"Tianshuang","family":"Qiu","sequence":"first","affiliation":[{"name":"University of California,Berkeley"}]},{"given":"Zehan","family":"Ma","sequence":"additional","affiliation":[{"name":"University of California,Berkeley"}]},{"given":"Karim","family":"El-Refai","sequence":"additional","affiliation":[{"name":"University of California,Berkeley"}]},{"given":"Hiya","family":"Shah","sequence":"additional","affiliation":[{"name":"University of California,Berkeley"}]},{"given":"Chung Min","family":"Kim","sequence":"additional","affiliation":[{"name":"University of California,Berkeley"}]},{"given":"Justin","family":"Kerr","sequence":"additional","affiliation":[{"name":"University of California,Berkeley"}]},{"given":"Ken","family":"Goldberg","sequence":"additional","affiliation":[{"name":"University of California,Berkeley"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0688"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref5","article-title":"SAM 2: Segment anything in images and videos","volume-title":"The Thirteenth International Conference on Learning Representations","author":"Ravi"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3150497"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00580"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00539"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01252"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591516"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00404"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01804"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19824-3_20"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01201"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00542"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3478513.3480487"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00416"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01245"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00617"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IROS55552.2023.10341922"},{"key":"ref23","article-title":"3d neural scene representations for visuomotor control","author":"Li","year":"2022","journal-title":"CoRL"},{"key":"ref24","article-title":"Reinforcement learning with neural radiance fields","volume-title":"NeurIPS","author":"Driess"},{"key":"ref25","article-title":"Evo-neRF: Evolving neRF for sequential robot grasping of transparent objects","author":"Kerr","year":"2022","journal-title":"CoRL"},{"key":"ref26","article-title":"Dex-NeRF: Using a neural radiance field to grasp transparent objects","author":"Ichnowski","year":"2020","journal-title":"CoRL"},{"key":"ref27","article-title":"Language embedded radiance fields for zero-shot task-oriented grasping","author":"Rashid","year":"2023","journal-title":"CoRL"},{"key":"ref28","article-title":"Robot see robot do: Imitating articulated object manipulation with monocular 4d reconstruction","author":"Kerr","year":"2024","journal-title":"CoRL"},{"key":"ref29","article-title":"Distilled feature fields enable few-shot language-guided manipulation","author":"Shen","year":"2023","journal-title":"CoRL"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161544"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811809"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0902-9"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01263"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/3DV62453.2024.00024"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00066"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s13243-020-00091-x"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-020-01684-w"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOSOFT.2019.8722715"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3143895"},{"issue":"34","key":"ref40","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","volume":"96","author":"Ester","year":"1996","journal-title":"kdd"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561877"},{"key":"ref42","article-title":"Jacobi motion library \u2013 next generation motion planning","author":"Robotics","year":"2024"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591516"},{"key":"ref44","article-title":"gsplat: An open-source library for Gaussian splatting","author":"Ye","year":"2024","journal-title":"Journal of Machine Learning Research"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2020.3033695"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152473"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/IROS60139.2025.11246653"},{"key":"ref48","article-title":"Grounding dino 1.5: Advance the\u201dedge\" of open-set object detection","author":"Ren","year":"2024"},{"key":"ref49","article-title":"Grounded sam: Assembling open-world models for diverse visual tasks","author":"Ren","year":"2024"},{"key":"ref50","article-title":"A simple framework for contrastive learning of visual representations","author":"Chen","year":"2020"}],"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\/11247192.pdf?arnumber=11247192","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T12:37:52Z","timestamp":1766061472000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11247192\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/iros60139.2025.11247192","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}