Learning New Skills by a Humanoid Robot through Imitation

被引:0
|
作者
Boboc, Razvan Gabriel [1 ]
Toma, Madalina-Ioana [1 ]
Panfir, Alina Ninett [1 ]
Talaba, Doru [1 ]
机构
[1] Transilvania Univ, Dept Robot & Virtual Real, Brasov, Romania
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Today's humanoid robots are used in many successful research topics. According to users needs these robots must be able to perform new tasks, and to adapt in a workspace. They have a similar appearance with human body. Thus the meaningful features of an humanoid robots are: the capability to imitate the user behavior, and the ability to learn new skills. In this paper, we propose to develop a robot system based on an humanoid robot that has abilities to learn new user skills by imitating human beings. To achieve this goal, we needed to design and to implement a new framework, which is able to teach an humanoid robot via user demonstration and to imitate movements of the human body. Therefore, the movements of the human body are automatically tracked using the Kinect sensor, and they teleoperate a whole body of a Nao robot. The results of experiments suggest that the feasibility of the proposed system is verified.
引用
收藏
页码:515 / 519
页数:5
相关论文
共 50 条
  • [21] On the Imitation of Goal Directed Movements of a Humanoid Robot
    Yunqing Bao
    Raymond H. Cuijpers
    International Journal of Social Robotics, 2017, 9 : 691 - 703
  • [22] Humanoid Behaviour Learning through Visuomotor Association by Self-Imitation
    Dawood, Farhan
    Loo, Chu Kiong
    2014 JOINT 7TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 15TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS), 2014, : 922 - 929
  • [23] Predicting Falls of a Humanoid Robot through Machine Learning
    Kalyanakrishnan, Shivaram
    Goswami, Ambarish
    PROCEEDINGS OF THE TWENTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-10), 2010, : 1793 - 1798
  • [24] Is imitation learning the route to humanoid robots?
    Schaal, S
    TRENDS IN COGNITIVE SCIENCES, 1999, 3 (06) : 233 - 242
  • [25] Is imitation learning the route to humanoid robots?
    Trends Cognit Sci, 6 (233-242):
  • [26] Imitation for Motor Learning on Humanoid Robots
    Aguirre, Andres
    Tejera, Gonzalo
    Baliosian, Javier
    2017 LATIN AMERICAN ROBOTICS SYMPOSIUM (LARS) AND 2017 BRAZILIAN SYMPOSIUM ON ROBOTICS (SBR), 2017,
  • [27] HumanMimic: Learning Natural Locomotion and Transitions for Humanoid Robot via Wasserstein Adversarial Imitation
    The University of Tokyo, Jsk Lab, Graduate School of Information Science and Technology, 7-3-1 Hongo, Bunkyo-ku, Tokyo
    113-8656, Japan
    不详
    8092, Switzerland
    Proc IEEE Int Conf Rob Autom, 2024, (13107-13114):
  • [28] Humanoid robot imitation through continuous goal-directed actions: an evolutionary approach
    Morante, Santiago
    Victores, Juan G.
    Jardon, Alberto
    Balaguer, Carlos
    ADVANCED ROBOTICS, 2015, 29 (05) : 303 - 314
  • [29] Imitation learning of a model predictive controller for real-time humanoid robot walking
    Porto, Vitor G. B. de A.
    Melo, Dicksiano C.
    Maximo, Marcos R. O. A.
    Afonso, Rubens J. M.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2025, 143
  • [30] Tcleoperation of a Humanoid Robot with Motion Imitation and Legged Locomotion
    Sripada, Aditya
    Asokan, Harish
    Warrier, Abhishek
    Kapoor, Arpit
    Gaur, Harshit
    Patel, Rahil
    Sridhar, R.
    2018 3RD IEEE INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (IEEE ICARM), 2018, : 375 - 379