GET-USE: Learning Generalized Tool Usage for Bimanual Mobile Manipulation via Simulated Embodiment Extensions
机构 * Stanford University(斯坦福大学) ; University of Texas at Austin(德克萨斯大学奥斯汀分校)
Comments 8 pages, 7 figures
高校专区
机构 * Stanford University(斯坦福大学) ; University of Texas at Austin(德克萨斯大学奥斯汀分校)
Comments 8 pages, 7 figures
机构 * Computer Science Department, Carnegie Mellon University(卡内基梅隆大学计算机科学系) ; Robotics Institute, Carnegie Mellon University(卡内基梅隆大学机器人研究所) ; Neuroscience Institute, Carnegie Mellon University(卡内基梅隆大学神经科学研究所) ; Department of Psychology, The University of Texas at Austin(德克萨斯大学奥斯汀分校心理学系) ; Center for Perceptual Systems, The University of Texas at Austin(德克萨斯大学奥斯汀分校感知系统中心)
Comments 22 pages, first three authors equal contribution
机构 * School of Informatics, University of Edinburgh(爱丁堡大学信息学院) ; School of Computer Science, University of Texas at Austin(德克萨斯大学奥斯汀分校计算机科学学院) ; DeepFlow
Comments To appear at the 39th Conference on Neural Information Processing Systems (NeurIPS 2025). A preliminary version of this work was presented at the CoCoMARL workshop, RLC 2025