LATMOS: Latent Automaton Task Model from Observation Sequences
Comments IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025
期刊&会议
International Conference on Intelligent Robots and Systems · 会议 · Robotics
Comments IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025
机构 * Artificial Intelligence and Robotics Lab, Department of Computer Science and Artificial Intelligence, University of Technology Nuremberg(人工智能与机器人实验室,计算机科学与人工智能系,图腾大学) ; Inria, Ecole Normale Supérieure, CNRS, PSL Research University(法国国家信息与自动化研究所,巴黎高等师范学校,国家科学研究中心,巴黎综合理工研究学院)
Comments Accepted to IROS'25. Previous version accepted at CoRL 2024 workshop on Learning Effective Abstractions for Planning (LEAP) and workshop on Differentiable Optimization Everywhere: Simulation, Estimation, Learning, and Control
机构 * Stanford University(斯坦福大学) ; Cornell University(康奈尔大学) ; University of California, Berkeley(加州大学伯克利分校)
Comments 8 pages, 6 figures. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025
机构 * Department of Computer Science, The University of Western Australia(西澳大学计算机科学系) ; School of Computing & Information Systems, The University of Melbourne(墨尔本大学计算与信息系)
Comments This paper has been accepted by IEEE/RSJ IROS 2025 for oral presentation on 19 Oct. 2025
机构 * SUPSI, IDSIA(SUPSI研究院,IDSIA)
Comments Accepted for publication at 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
机构 * Robotics Research Center, IIIT-Hyderabad(IIIT-海得拉巴机器人研究中心) ; The University of Tartu(塔尔图大学)
Comments 8 pages, 7 figures, IROS 2025
机构 * Human-Centered Robotics Lab(以人为本机器人实验室) ; Ostfalia University of Applied Sciences(奥斯特法利亚应用科学大学)
Comments accepted for presentation at the International Conference on Intelligent Robots and Systems (IROS) 2025
机构 * Institute for AI Industry Research (AIR), Tsinghua University, China(人工智能产业研究院(AIR),清华大学,中国) ; Bosch Corporate Research, China(博世企业研究,中国) ; Institute for Interdisciplinary Information Sciences(IIIS), Tsinghua University, China(交叉信息学研究院(IIIS),清华大学,中国) ; University of Toronto, Canada(多伦多大学,加拿大) ; University of HongKong, China(香港大学,中国)
Comments Accepted to IROS 2025, Project Page: https://ethan-zheng136.github.io/Dev-Unc/
机构 * Institute for AI Industry Research (AIR), Tsinghua University(人工智能产业研究院(AIR),清华大学) ; Beijing Institute of Technology(北京理工大学) ; Nanyang Technological University(南洋理工大学) ; Tsinghua University(清华大学) ; Renmin University of China(中国人民大学) ; Beijing University of Technology(北京理工大学) ; Baidu Inc(百度公司) ; Peking University(北京大学) ; Shanghai AI Lab(上海人工智能实验室) ; Westlake University(西湖大学) ; Beijing Academy of Artificial Intelligence(北京人工智能研究院)
Comments IROS 2025, Code: https://github.com/SainingZhang/CRUISE
机构 * Learning, Adaptive Systems, and Robotics (LASR) Lab, TU Dresden(图腾德斯登技术大学学习、自适应系统与机器人实验室) ; Center for Tactile Internet with Human-in-the-Loop (CeTI)(人机协同触觉互联网中心)
Comments 8 pages. Accepted by 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
机构 * Institute for AI Industry Research, Tsinghua University(人工智能产业研究院,清华大学) ; Bosch Corporate Research, China(博世企业研究,中国) ; Institute for Interdisciplinary Information Sciences, Tsinghua University(交叉信息科学研究院,清华大学) ; Department of Computer Science, ETH Zürich(计算机科学系,苏黎世联邦理工学院) ; State Key Lab of Intelligent Transportation System, Beihang University(智能交通系统国家重点实验室,北航)
Comments Accepted to IROS 2025, Project Page: https://github.com/Yang-Li-2000/one-stage.git
机构 * College of Computer Science and Software Engineering, Shenzhen University(深圳大学计算机科学与软件工程学院) ; Carleton University(卡尔顿大学) ; Shenzhen Key Laboratory of Robotics and Computer Vision, SUSTech(深圳机器人与计算机视觉重点实验室,华南理工大学)
Comments IROS 2025 Accepted
机构 * Honda Research Institute, USA(本田研究院(美国)) ; Department of Mechanical Engineering, University of California Riverside(加州大学河滨分校机械工程系)
Comments To appear at IROS '25. 8 pages. 3 tables. 6 figures. Project page: https://darshangm.github.io/papers/active-probing-multimodal-predictions/
机构 * Min H. Kao Department of Electrical Engineering and Computer Science at University of Tennessee, Knoxville, TN, USA(田纳西大学电气工程与计算机科学系Min H. Kao部门) ; Department of Electrical and Computer Engineering at George Mason University(乔治·马歇尔大学电气与计算机工程系) ; Department of Industrial and Systems Engineering at University of North Carolina at Charlotte(北卡罗来纳大学夏洛特分校工业与系统工程系) ; Department of Civil and Environmental Engineering at University of Tennessee, Knoxville, TN, USA(田纳西大学土木与环境工程系)
Comments Accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
机构 * Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology (NAIST)(信息科学系,科学技术研究生学校,科学与技术国立研究所) ; Department of Cognitive Robotics, Faculty of Mechanical Engineering, Delft University of Technology(认知机器人系,机械工程学院,代尔夫特理工大学)
Comments 8 pages, 9 figures, to be published in the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems
机构 * Department of Computer Engineering, Automation, and Robotics, and with IMAG(计算机工程、自动化与机器人系,以及IMAG) ; University of Granada(Granada大学)
Comments Yang Xu and Jesús Bautista contributed equally to this work. In the proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025
机构 * School of Sino-German College of Intelligent Manufacturing, Shenzhen Technology University(智能制造中德学院)
Comments Accepted by IROS 2025
机构 * Dalian University of Technology(大连理工大学)
Comments Accepted by IROS 2025
机构 * School of Artificial Intelligence and Robotics, Hunan University(人工智能与机器人学院,湖南大学) ; National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University(机器人视觉感知与控制技术国家工程研究中心,湖南大学) ; AI Thrust, Hong Kong University of Science and Technology (Guangzhou)(香港理工大学(广州)人工智能方向)
Comments Accepted to IROS 2025. The source code will be made publicly available at https://github.com/iAsakiT3T/SHIFNet
机构 * School of Artificial Intelligence and Robotics, Hunan University, China(人工智能与机器人学院,湖南大学) ; National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, China(机器人视觉感知与控制技术国家工程研究中心,湖南大学)
Comments Accepted to IROS 2025. Source code and benchmark dataset will be publicly available at https://github.com/Dikay1/OS-AGDO
机构 * Min H. Kao Department of Electrical Engineering and Computer Science at University of Tennessee, Knoxville, TN, USA(田纳西大学电气工程与计算机科学系)
Comments IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
Comments IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
机构 * Robotics Institute at Carnegie Mellon University(卡内基梅隆大学机器人研究所)
Comments Accepted to IROS 2025
Comments 7 pages, 10 figures. This work has been accepted to IROS 2025. The video is released in https://youtu.be/n0IQEnjPzrw?si=Zp3kb3ss-D_AySOE
机构 * College of Intelligence Science and Technology and the National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, China(智能科学与技术学院和装备状态感知与智能支撑国家重点实验室,国防科技大学,中国) ; T Stone Robotics Institute and Department of Mechanical and Automation Engineering, the Chinese University of Hong Kong, China(石墨机器人研究院和机械与自动化工程系,香港中文大学,中国)
Comments 8 pages, 4 figures,Accpted for IROS 2025
机构 * Rightly Robotics(Rightly机器人)
Comments 7 pages, accepted to the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
机构 * College of Information and Computer Sciences, University of Massachusetts Amherst(大学计算机科学学院,马萨诸塞大学阿默斯特分校) ; University of Maryland College Park(马里兰大学学院公园分校) ; College of Engineering, University of Massachusetts Amherst(工程学院,马萨诸塞大学阿默斯特分校) ; Korea University of Technology and Education (KOREATECH)(韩国技术教育大学(KOREATECH))
Comments Submitted to 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
机构 * FPT Software AI Center(FPT软件AI中心) ; Automation & Control Institute (ACIN)(自动化与控制研究所) ; Department of Mathematics(数学系) ; Department of Creative Informatics(创意信息学系) ; Department of Computer Science(计算机科学系)
Comments Accepted to IROS 2025. Webpage: https://zquang2202.github.io/GraspMAS/
机构 * School of Artificial Intelligence and Robotics and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, China(人工智能与机器人学院和机器人视觉感知与控制技术国家工程研究中心,湖南大学)
Comments Accepted to IROS 2025. The source code will be made publicly available at https://github.com/DAWDSE/BiT-Align
机构 * Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所) ; School of Computer Science, Wuhan University(武汉大学计算机学院) ; School of Computer Science, University of Technology Sydney(悉尼大学计算机学院) ; IAIR, Xi’an Jiaotong University(西安交通大学IAIR)
Comments 8 pages, 5 figures
Journal ref IROS 2025