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
收藏
页码：1 / 15
页数：15
相关论文
共 50 条
  • [21] Task-Dependent Algorithm Aversion
    Castelo, Noah
    Bos, Maarten W.
    Lehmann, Donald R.
    JOURNAL OF MARKETING RESEARCH, 2019, 56 (05) : 809 - 825
  • [22] Investigating the Influence of Task-dependent and Task-independent Robot Behavior on the Impression of Robots and the User Experience
    Chamoto, Yuki
    Okafuji, Yuki
    Matsumura, Kohei
    Baba, Jun
    Nakanishi, Junya
    2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, : 640 - 646
  • [23] Combining Optimal Path Search With Task-Dependent Learning in a Neural Network
    Kulvicius, Tomas
    Tamosiunaite, Minija
    Worgotter, Florentin
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, : 1 - 12
  • [24] Learning-induced uncertainty reduction in perceptual decisions is task-dependent
    Yang, Feitong
    Wu, Qiong
    Li, Sheng
    FRONTIERS IN HUMAN NEUROSCIENCE, 2014, 8
  • [25] Predicting Gaze in Egocentric Video by Learning Task-Dependent Attention Transition
    Huang, Yifei
    Cai, Minjie
    Li, Zhenqiang
    Sato, Yoichi
    COMPUTER VISION - ECCV 2018, PT IV, 2018, 11208 : 789 - 804
  • [26] Compare Network with Task-dependent Embeddings for Few-shot Learning
    Chen, Lingwei
    Luo, Ronghua
    Zhang, Defu
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [27] Task-Dependent and Query-Dependent Subspace Learning for Cross-Modal Retrieval
    Wang, Li
    Zhu, Lei
    Yu, En
    Sun, Jiande
    Zhang, Huaxiang
    IEEE ACCESS, 2018, 6 : 27091 - 27102
  • [28] Learning Grasping Affordance Using Probabilistic and Ontological Approaches
    Barck-Holst, Carl
    Ralph, Maria
    Holmar, Fredrik
    Kragic, Danica
    ICAR: 2009 14TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS, VOLS 1 AND 2, 2009, : 96 - 101
  • [29] LEARNING TASK-DEPENDENT SPEECH VARIABILITY IN DISCRIMINATIVE ACOUSTIC MODEL ADAPTATION
    Sato, Shoei
    Oku, Takahiro
    Homma, Shinichi
    Kobayashi, Akio
    Imai, Toru
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 4910 - 4913
  • [30] Task-Dependent Differences in Learning by Subordinate and Dominant Wild Arabian Babblers
    Keynan, Oded
    Ridley, Amanda R.
    Lotem, Arnon
    ETHOLOGY, 2016, 122 (05) : 399 - 410
12345