DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation
DF³:自主导航中基于无解码器特征预测的世界建模
Jiaming Chen, Guoan Xu, Aoshen Huang, Haozhuo Zhang, Yang Li, Wei Pan
机构
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The University of Manchester(曼彻斯特大学)
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University of Technology Sydney(悉尼科技大学)
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Shandong University(山东大学)
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Shanghai Jiao Tong University(上海交通大学)
机构
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Australian Institute for Machine Learning(澳大利亚机器学习研究所)
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Adelaide University(阿德莱德大学)
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Responsible AI Research Centre(负责任人工智能研究中心)
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CSIRO Data61(联邦科学与工业研究组织数据61中心)
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The University of Queensland(昆士兰大学)
机构
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School of Applied and Creative Computing, Purdue University(应用与创意计算学院,普渡大学)
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Department of Computer Science, Purdue University(计算机科学系,普渡大学)
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Department of Applied Artificial Intelligence, Sungkyunkwan University(应用人工智能系,成均馆大学)
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Department of Computer Science and Department of Intelligent Systems Engineering, Indiana University Bloomington(计算机科学系和智能系统工程系,印第安纳大学布卢明顿分校)
CommentsThe authors have decided to withdraw this manuscript due to concerns regarding its current scope, framing, and presentation. Please do not cite this version
Manual, Joystick, or Haptic Control? An In Vitro Comparison of Navigation Strategies for Robotic Interventional Neuroradiology Procedures
手动、操纵杆还是触觉控制?机器人介入神经放射学程序导航策略的体外比较
Benjamin Jackson, Nikola Fischer, Harry Robershaw, Xingyu Chen, S. H. Hadi Sadati, Yang Li, Jeremy Lynch, Nasr Abdelsalam, Jonathon Buwanabala, Matthew Benger, Sara Sciacca, Naga Kandasamy, Marco Mancuso-Marcello, Parthiban Balasundaram, Sahan Guruge, Neelan Das, Alejandro Granados, Kawal Rhode, Thomas C Booth
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School of Biomedical Engineering & Imaging Sciences, King’s College London, UK(伦敦国王学院生物医学工程与成像科学学院)
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School of Engineering and Materials Science, Queen Mary University of London, UK(伦敦女王学院工程与材料科学学院)
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Department of Neuroradiology, King’s College Hospital NHS Foundation Trust, London, UK(伦敦国王学院医院国家健康服务信托基金会神经放射科)
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The Walton Centre NHS Foundation Trust, Liverpool, UK(利物浦沃尔顿中心国家健康服务信托基金会)
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University College London Hospitals NHS Foundation Trust, London, UK(伦敦大学学院医院国家健康服务信托基金会)
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East Kent Hospitals University NHS Foundation Trust, Kent, UK(肯特郡东肯特医院大学国家健康服务信托基金会)
机构
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Department of Control Science and Engineering, College of Electronic and Information Engineering, and Shanghai Institute of Intelligent Science and Technology, Tongji University(同济大学电子与信息工程学院控制科学与工程系,以及上海智能科学与技术研究院)
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Department of Electronic Engineering, Faculty of Engineering, The Chinese University of Hong Kong(香港中文大学工程学院电子工程系)
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Shanghai Operation Robot Co., Ltd.(上海微创医疗机器人(集团)股份有限公司)
机构
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Shanghai Jiao Tong University(上海交通大学)
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Eastern Institute of Technology(东部技术研究所)
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PhiGent
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National University of Singapore(新加坡国立大学)
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Tsinghua University(清华大学)
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Wuhan University(武汉大学)
AR Forcing: Towards Long-Horizon Robot Navigation World Model
AR Forcing: 迈向长时域机器人导航世界模型
Yifei Yang, Zehua Fan, Huan Li, Aoqi Wang, Lida Huang, Haibao Yu, Haiyan Liu, Xuanyao Mao, Jason Bao, Liang Xu, Bingchuan Sun, Yan Wang
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Institute for AI Industry Research, Tsinghua University(清华大学人工智能产业研究院)
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Shanghai Jiao Tong University(上海交通大学)
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School of Safety Science, Tsinghua University(清华大学安全科学学院)
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The University of Hong Kong(香港大学)
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Lenovo, Beijing, China(北京联想公司)
NavThinker: Action-Conditioned World Models for Coupled Prediction and Planning in Social Navigation
NavThinker: 用于社交导航中耦合预测与规划的行动条件世界模型
Tianshuai Hu, Zeying Gong, Lingdong Kong, XiaoDong Mei, Yiyi Ding, Qi Zeng, Ao Liang, Rong Li, Yangyi Zhong, Junwei Liang
机构
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The Hong Kong University of Science and Technology(香港科学与技术大学)
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The Hong Kong University of Science and Technology (Guangzhou)(香港科学与技术大学(广州))
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National University of Singapore(新加坡国立大学)
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University of Chinese Academy of Sciences(中国科学院大学)
Efficient Image-Goal Navigation with Representative Latent World Model
高效图像-目标导航与代表性潜在世界模型
Zhiwei Zhang, Hui Zhang, Kaihong Huang, Chenghao Shi, Huimin Lu
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College of Intelligence Science and Technology, the National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology(智能科学与技术学院、装备状态感知与智能支持国家重点实验室、国防科技大学)
NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments
Xuan Yao, Junyu Gao, Changsheng Xu
机构
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State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA)(多模态人工智能系统国家重点实验室(MAIS)、自动化研究所、中国科学院(CASIA))
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School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS)(人工智能学院、中国科学院大学(UCAS))
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Peng Cheng Laboratory, ShenZhen, China(鹏城实验室、深圳中国)
Comments15 pages, 9 figures, under review. Major changes: title, use of biomechanical model for online estimation of human muscle activation (leading to revision in abstract, methods, results, figures, discussion, and conclusion), broader review of related work
CommentsWe would like to request the withdrawal of our submission due to some misunderstandings among the co-authors concerning the submission process. It appears that the current version was submitted before we reached a consensus among all authors. We are actively working to address these matters and plan to resubmit a revised version once we achieve agreement