Star Tracker Misalignment Compensation in Deep Space Navigation Through Model-Based Estimation
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Comments 20 pages, 7 figures
视觉与机器人
机器人、具身智能、机器人学习、操作、导航和具身世界模型。
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Comments 20 pages, 7 figures
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Comments 18 pages, 4 figures, 7 tables
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Journal ref 10.1109/LCN60385.2024.10639770
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Comments 50 pages, 8 figures. Substantially revised. Title updated. The new version removes explicit claims about resolving the P vs NP and instead presents a refined analysis of the algorithm structure, complexity implications, and its use in Subset Sum and SAT contexts. Core method unchanged; discussion and positioning significantly improved
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Journal ref HAI 2021: Proceedings of the 9th International Conference on Human-Agent Interaction
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Comments 13 pages
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Comments 4 pages, 3 figures
Journal ref Chinese Journal of Physics 90, 1095-1100, 2024
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Comments Both authors contributed equally to this work. This paper will appear at the 16th International Conference on Intelligent Human Computer Interaction (IHCI 2024) and will be published under conference proceedings in Springer Lecture Notes in Computer Science (LNCS)
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Comments 10 pages, 3 figures, 1 table
Journal ref Proceedings of the 5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2024), Washington D.C., USA, July 28th, 2024
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Comments 4 pages, 1 figure, accepted for publication into the Proceedings of the AstroRob2023 workshop
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Comments 9 pages
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Comments 10 pages
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Comments Accepted as RO-MAN 2024 Late Breaking Report
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Comments 8 pages, 12 figures, Submitted to IEEE Robotics Automation Letters (RA-L)
Journal ref IEEE Robotics and Automation Letters ( Volume: 9, Issue: 5, May 2024)
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Comments arXiv admin note: substantial text overlap with arXiv:2302.12309
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Comments Submitted to TIFS
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Comments Accepted to FSE '24 Demonstrations Track
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Comments 20 pages, 27 figures, 4 tables, Comments welcome
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Comments reference updated
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Comments 4 pages, 3 figures. Extended abstract for the 2023 IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS 2023)
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Comments Pulibshed in proccedings of FUSION 2023. PLEASE cite the published version! The code is also now available at GitHub: https://github.com/IDM-UWB/efficient-PMF
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Comments 14 pages (two column), 7 figures