Human Action Imitation System Based on Nao Robot

被引：0
|
作者：
Hu, Ning [1 ,2 ]
Zheng, Lin [1 ,2 ]
机构：
[1] Wuhan Univ Technol, Sch Informat Engn, Wuhan, Hubei, Peoples R China
[2] Minist Educ, Key Lab Fiber Opt Sensing Technol & Informat Proc, Wuhan, Hubei, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019) | 2019年
关键词：
Nao robot; deep learning; image processing;
D O I：
10.1109/itnec.2019.8729383
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A human action imitation system based on Nao robot is proposed in this paper. A new strategy,combining Momentum with Stochastic gradient descent(SGD), is designed to accelerate the training process of Convolutional Neural Networks(CNN) . The CNN is used to recognize the 2D coordinate of joints of a human body. This data is translate to Nao Robot and make it to imitate human action.The experiments show that the training rate is faster than traditional training method. The Robot can imitate the human action accurately.
引用
收藏
页码：2261 / 2264
页数：4
相关论文
共 50 条
  • [31] NAO Robot as Rehabilitation Assistant in a Kinect Controlled System
    Rodriguez, I.
    Aguado, A.
    Parra, O.
    Lazkano, E.
    Sierra, B.
    CONVERGING CLINICAL AND ENGINEERING RESEARCH ON NEUROREHABILITATION II, VOLS 1 AND 2, 2017, 15 : 419 - 423
  • [32] An Intelligent Vision Localization System of a Service Robot Nao
    Song Peipei
    Li Wenyu
    Yang Ningjia
    Duan Feng
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 5993 - 5998
  • [33] Preliminary evaluation of the multimodal interactive system for NAO robot
    Ondas, S.
    Pleva, M.
    Juhar, J.
    Husovsky, R.
    2017 15TH IEEE INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA 2017), 2017, : 337 - 342
  • [34] Control system of a humanoid robot (NAO) by a laser scanner
    Djokhrab, Ala Eddine
    Ghodbane, Hatem
    Taleb-ahmed, Abdelmalik
    PRZEGLAD ELEKTROTECHNICZNY, 2024, 100 (12): : 206 - 211
  • [35] Using NAO Humanoid Robot in Kindergarten: A Proposed System
    Alkhalifah, Atheer
    Alsalman, Bashayer
    Alnuhait, Deema
    Meldah, Ohoud
    Aloud, Sara
    Al-Khalifa, Hend S.
    Al-Otaibi, Hind M.
    15TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2015), 2015, : 166 - 167
  • [36] Developmental Human-Robot Imitation Learning of Drawing with a Neuro Dynamical System
    Mochizuki, Keita
    Nishide, Shun
    Okuno, Hiroshi G.
    Ogata, Tetsuya
    2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), 2013, : 2336 - 2341
  • [37] An online background subtraction algorithm deployed on a NAO humanoid robot based monitoring system
    Hu, Yang
    Sirlantzis, Konstantinos
    Howells, Gareth
    Ragot, Nicolas
    Rodriguez, Paul
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2016, 85 : 37 - 47
  • [38] Improving Human-Robot Interaction by Enhancing NAO Robot Awareness of Human Facial Expression
    Filippini, Chiara
    Perpetuini, David
    Cardone, Daniela
    Merla, Arcangelo
    SENSORS, 2021, 21 (19)
  • [39] Affective Touch in Human-Robot Interaction: Conveying Emotion to the Nao Robot
    Andreasson, Rebecca
    Alenljung, Beatrice
    Billing, Erik
    Lowe, Robert
    INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2018, 10 (04) : 473 - 491
  • [40] An imitation method of human action intelligence
    Shang, Tao
    Wang, Shuoyu
    ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS, 2006, : 317 - +
12345