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翻訳待ち:Warping the Workspace: Expanding Visual Access with Adjustable Reach Mapping for Humanoid Teleoperation

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AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:arXiv:2610.28712v1 Announce Type: new Abstract: First-person humanoid teleoperation ties access to side and rear targets to operator rotation. We present coupled visual--motor remapping, pairing a panoramic azimuth warp with its inverse upper-limb yaw transform. A working prototype implements Global Zoom (GZ) and Focus+Context (F+C). In a within-subject study (N=8); 72 trials), GZ had the largest completion count (23/24; Fixed: 20/24; F+C: 21/24), whereas F+C was preferred by 6/8 participants. Therefore, completion and preference favored different mappings in this sample.

ソースarXiv Robotics著者: Keigo Minamida, Koya Dendo, Yuto Nakamura, Jun Rekimoto
翻訳待ち:Warping the Workspace: Expanding Visual Access with Adjustable Reach Mapping for Humanoid Teleoperation
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AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。

[Submitted on 20 Oct 2026] Title:Warping the Workspace: Expanding Visual Access with Adjustable Reach Mapping for Humanoid Teleoperation View a PDF of the paper titled Warping the Workspace: Expanding Visual Access with Adjustable Reach Mapping for Humanoid Teleoperation, by Keigo Minamida and 3 other authors View PDF HTML (experimental) Abstract:First-person humanoid teleoperation ties access to side and rear targets to operator rotation. We present coupled visual--motor remapping, pairing a panoramic azimuth warp with its inverse upper-limb yaw transform. A working prototype implements Global Zoom (GZ) and Focus+Context (F+C). In a within-subject study (N=8); 72 trials), GZ had the largest completion count (23/24; Fixed: 20/24; F+C: 21/24), whereas F+C was preferred by 6/8 participants. Therefore, completion and preference favored different mappings in this sample. Subjects: Robotics (cs.RO); Human-Computer Interaction (cs.HC) ACM classes: H.5.2; I.2.9 Cite as: arXiv:2610.28712 [cs.RO] (or arXiv:2610.28712v1 [cs.RO] for this version) https://doi.org/10.48550/arXiv.2610.28712 arXiv-issued DOI via DataCite Journal reference: ACM UIST 2026 Related DOI: https://doi.org/10.1145/3830397.3841893 DOI(s) linking to related resources Submission history From: Jun Rekimoto [view email] [v1] Tue, 20 Oct 2026 17:42:33 UTC (1,345 KB) Full-text links: Access Paper: View a PDF of the paper titled Warping the Workspace: Expanding Visual Access with Adjustable Reach Mapping for Humanoid Teleoperation, by Keigo Minamida and 3 other authors View PDF HTML (experimental) TeX Source view license Additional Features Audio Summary Current browse context: cs.RO new | recent | 2026-10 Change to browse by: cs cs.HC References & Citations SciX Google Scholar Semantic Scholar Loading... Data provided by: Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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  • AI 生成が一時的に利用できないため、ソース内容とフォールバックメタデータを保存しました。
  • arXiv:2610.28712v1 Announce Type: new Abstract: First-person humanoid teleoperation ties access to side and rear targets to operator rotation. We present coupled visual--motor rem…

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