Relational Affordance Learning for Task-Dependent Robot Grasping

被引：2
|
作者：
Antanas, Laura [1 ]
Dries, Anton [1 ]
Moreno, Plinio [2 ]
De Raedt, Luc [1 ]
机构：
[1] Katholieke Univ Leuven, Dept Comp Sci, Leuven, Belgium
[2] Univ Lisbon, Inst Syst & Robot, IST, Lisbon, Portugal
来源：
INDUCTIVE LOGIC PROGRAMMING (ILP 2017) | 2018年 / 10759卷
关键词：
D O I：
10.1007/978-3-319-78090-0_1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Robot grasping depends on the specific manipulation scenario: the object, its properties, task and grasp constraints. Object-task affordances facilitate semantic reasoning about pre-grasp configurations with respect to the intended tasks, favoring good grasps. We employ probabilistic rule learning to recover such object-task affordances for task-dependent grasping from realistic video data.
引用
下载
收藏
页码：1 / 15
页数：15
相关论文
共 50 条
  • [1] Task-dependent motor learning
    Kurtzer, I
    DiZio, P
    Lackner, J
    EXPERIMENTAL BRAIN RESEARCH, 2003, 153 (01) : 128 - 132
  • [2] Task-dependent learning of attention
    vandeLaar, P
    Heskes, T
    Gielen, S
    NEURAL NETWORKS, 1997, 10 (06) : 981 - 992
  • [3] Task-dependent motor learning
    Isaac Kurtzer
    Paul DiZio
    James Lackner
    Experimental Brain Research, 2003, 153 : 128 - 132
  • [4] Improving Robot Grasping Plans with Affordance
    Su, Yen-Feng
    Liu, Alan
    Lu, Wei-Hong
    2017 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND INTELLIGENT SYSTEMS (ARIS), 2017, : 7 - 12
  • [5] Active Affordance Exploration for Robot Grasping
    Liu, Huaping
    Yuan, Yuan
    Deng, Yuhong
    Guo, Xiaofeng
    Wei, Yixuan
    Lu, Kai
    Fang, Bin
    Guo, Di
    Sun, Fuchun
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2019, PT V, 2019, 11744 : 426 - 438
  • [6] Affordance Detection for Task-Specific Grasping Using Deep Learning
    Kokic, Mia
    Stork, Johannes A.
    Haustein, Joshua A.
    Kragic, Danica
    2017 IEEE-RAS 17TH INTERNATIONAL CONFERENCE ON HUMANOID ROBOTICS (HUMANOIDS), 2017, : 91 - 98
  • [7] Architecture for task-dependent human-robot collaboration
    Shu, Beibei
    Solvang, Bjorn
    2021 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 2021, : 207 - 212
  • [8] Task-dependent role of the cerebellum in motor learning
    Bloedel, JR
    BRAIN MECHANISMS FOR THE INTEGRATION OF POSTURE AND MOVEMENT, 2004, 143 : 319 - 329
  • [9] Task-dependent optimal representations for cerebellar learning
    Xie, Marjorie
    Muscinelli, Samuel P.
    Harris, Kameron Decker
    Litwin-Kumar, Ashok
    ELIFE, 2023, 12
  • [10] Learning efficient task-dependent representations with synaptic plasticity
    Bredenberg, Colin
    Simoncelli, Eero P.
    Savin, Cristina
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020, 2020, 33
12345