Perception and manipulation in robotics: Neural network approaches

被引：0
|
作者：
Koeppe, R. [1 ]
Van Der Smagt, P. [1 ]
Albu-Schäffer, A. [1 ]
Arbter, K. [1 ]
Fischer, M. [1 ]
Lange, F. [1 ]
Hirzinger, G. [1 ]
机构：
[1] Inst. Robotik und Mechatronik DLR, Oberpfaffenhofen, Germany
来源：
Mitteilung - Deutsche Forschungsanstalt fuer Luft- und Raumfahrt | 1999年 / 99卷 / 02期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1 / 46
相关论文
共 50 条
  • [1] Neural Network Approaches to Visual Motion Perception
    郭爱克
    杨先一
    Science in China,SerB., 1994, Ser.B.1994 (02) : 177 - 189
  • [2] A sensory network for perception-based robotics using neural networks
    Kubota, N
    Hashimoto, S
    Kojima, F
    PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 3151 - 3156
  • [3] Convolutional neural network initialization approaches for image manipulation detection
    Camacho, Ivan Castillo
    Wang, Kai
    DIGITAL SIGNAL PROCESSING, 2022, 122
  • [4] NEURAL-NETWORK APPROACHES TO VISUAL-MOTION PERCEPTION
    GUO, AK
    YANG, XY
    SCIENCE IN CHINA SERIES B-CHEMISTRY, 1994, 37 (02): : 177 - 189
  • [5] Neural Network-Based Pose Estimation Approaches for Mobile Manipulation
    Chowdhury, Arindam B. B.
    Li, Juncheng
    Cappelleri, David J. J.
    JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME, 2023, 15 (01):
  • [6] Visual Manipulation Relationship Network for Autonomous Robotics
    Zhang, Hanbo
    Lan, Xuguang
    Zhou, Xinwen
    Tian, Zhiqiang
    Zhang, Yang
    Zheng, Nanning
    2018 IEEE-RAS 18TH INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS), 2018, : 118 - 125
  • [7] PMKA Knowledge Processing Framework for Autonomous Robotics Perception and Manipulation
    Diab, Mohammed
    Akbari, Aliakbar
    Din, Muhayy Ud
    Rosell, Jan
    SENSORS, 2019, 19 (05)
  • [8] COMPARISON OF NEURAL NETWORK-BASED POSE ESTIMATION APPROACHES FOR MOBILE MANIPULATION
    Chowdhury, Arindam B.
    Li, Juncheng
    Cappelleri, David J.
    PROCEEDINGS OF ASME 2021 INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, IDETC-CIE2021, VOL 8A, 2021,
  • [9] Artificial neural network dexterous robotics hand optimal control methodology: Grasping and manipulation forces optimization
    Al-Gallaf E.
    Al Mutib K.
    Hamdan H.
    Artificial Life and Robotics, 2010, 15 (04) : 408 - 412
  • [10] Explaining the Effect of Likelihood Manipulation and Prior Through a Neural Network of the Audiovisual Perception of Space
    Ursino, Mauro
    Cuppini, Cristiano
    Magosso, Elisa
    Beierholm, Ulrik
    Shams, Ladan
    MULTISENSORY RESEARCH, 2019, 32 (02) : 111 - 144
12345