Section focused on machine learning methods for high-level cognitive capabilities in robotics

被引：0
|
作者：
Inamura, Tetsunari [1 ]
Yokoyama, Hiroki [2 ]
Ugur, Emre [3 ]
Hinaut, Xavier [4 ]
Beetze, Michael [5 ]
Taniguchi, Tadahiro [6 ]
机构：
[1] Natl Inst Informat, Tokyo, Japan
[2] Univ Tamagawa, Machida, Tokyo, Japan
[3] Bogazici Univ, Istanbul, Turkey
[4] INRIA, Bordeaux, France
[5] Univ Bremen, Bremen, Germany
[6] Ritsumeikan Univ, Kyoto, Japan
来源：
ADVANCED ROBOTICS | 2019年 / 33卷 / 11期
关键词：
D O I：
10.1080/01691864.2019.1625183
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
引用
收藏
页码：537 / 538
页数：2
相关论文
共 50 条
  • [21] HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond
    Abi-Karam, Stefan
    Sarkar, Rishov
    Seigler, Allison
    Lowe, Sean
    Wei, Zhigang
    Chen, Hanqiu
    Rao, Nanditha
    John, Lizy
    Arora, Aman
    Hao, Cong
    2024 ACM/IEEE 6TH SYMPOSIUM ON MACHINE LEARNING FOR CAD, MLCAD 2024, 2024,
  • [22] Machine learning predictive modelling high-level synthesis design space exploration
    Schafer, B. Carrion
    Wakabayashi, K.
    IET COMPUTERS AND DIGITAL TECHNIQUES, 2012, 6 (03): : 153 - 159
  • [23] NeuPow: A CAD Methodology for High-level Power Estimation Based on Machine Learning
    Nasser, Yehya
    Sau, Carlo
    Prevotet, Jean-Christophe
    Fanni, Tiziana
    Palumbo, Francesca
    Helard, Maryline
    Raffo, Luigi
    ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020, 25 (05)
  • [24] Fast and Accurate Estimation of Quality of Results in High-Level Synthesis with Machine Learning
    Dai, Steve
    Zhou, Yuan
    Zhang, Hang
    Ustun, Ecenur
    Young, Evangeline F. Y.
    Zhang, Zhiru
    PROCEEDINGS 26TH IEEE ANNUAL INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES (FCCM 2018), 2018, : 129 - 132
  • [25] High-Level Early Power Estimation of FPGA IP Based on Machine Learning
    Richa, Majdi
    Prevotet, Jean-Christophe
    Dardaillon, Mickael
    Mroue, Mohamad
    Samhat, Abed Ellatif
    2022 29TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS (IEEE ICECS 2022), 2022,
  • [26] INTEGRATING NETWORK OPTIMIZATION CAPABILITIES INTO A HIGH-LEVEL MODELING LANGUAGE
    ZENIOS, SA
    ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE, 1990, 16 (02): : 113 - 142
  • [27] Testing Effect on High-Level Cognitive Skills
    Jensen, Jamie L.
    McDaniel, Mark A.
    Kummer, Tyler A.
    Godoy, Patricia D. D. M.
    St Clair, Bryn
    CBE-LIFE SCIENCES EDUCATION, 2020, 19 (03): : 1 - 13
  • [28] Neurobiological Research and High-Level Learning
    McKendree, Jean
    ACADEMIC MEDICINE, 2011, 86 (11) : 1332 - 1332
  • [29] CROSS-DOMAIN LEARNING METHODS FOR HIGH-LEVEL VISUAL CONCEPT CLASSIFICATION
    Jiang, Wei
    Zavesky, Eric
    Chang, Shih-Fu
    Loui, Alex
    2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5, 2008, : 161 - 164
  • [30] A State Machine Block for High-Level Synthesis
    Assadikhomami, Shadi
    Ongko, Jennifer
    Aamodt, Tor M.
    2017 INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE TECHNOLOGY (ICFPT), 2017, : 80 - 87
12345