Goal-Directed Learning of Hand-Eye Coordination in a Humanoid Robot

被引:0
|
作者
Schmerling, Mathias [1 ]
Schillaci, Guido [2 ]
Hafner, Verena V. [2 ]
机构
[1] Bernstein Ctr Computat Neurosci, Berlin, Germany
[2] Humboldt Univ, Dept Comp Sci, Adapt Syst Grp, Berlin, Germany
关键词
INVERSE KINEMATICS; MOTOR CORTEX; MOVEMENT; TARGET;
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
Visuo-motor coordination is known to be highly important for the development of a broader range of cognitive and motor skills in human infants and can thus be considered one of the key skills for robots to master. In this paper, we investigate how a recent concept in developmental robotics, referred to as goal babbling, relates to a visuo-motor coordination task in the humanoid robot Aldebaran Nao that requires coordinated control of two subsystems of motors, namely head and arm motors. The idea of goal babbling builds on findings in developmental psychology showing that human infants attempt goal-directed movements early on in their development enabling them to rapidly and efficiently bootstrap their motor system. Goal babbling has been shown to be superior to the classical idea of random motor babbling for the learning of body kinematics in robotic systems, in particular for systems with many degrees of freedom. Our results not only support the utility of goal babbling for the acquisition of visuo-motor coordination skills but also suggest that goal babbling is particularly effective in the case where two separate motor sub-systems, head and arm, need to be coordinated.
引用
收藏
页码:168 / 175
页数:8
相关论文
共 50 条
  • [41] Attentional selection prior to the execution of sequential goal-directed eye and hand movements
    Deubel, H
    Baldauf, D
    Wolf, M
    PERCEPTION, 2004, 33 : 16 - 17
  • [42] Goal-Directed Feature Learning
    Weber, Cornelius
    Triesch, Jochen
    IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 2009, : 3355 - 3362
  • [43] DESIGN AND EXPERIMENTAL RESEARCH OF HAND-EYE COORDINATION CONTROL SYSTEM FOR ACUPUNCTURE ROBOT
    Wu, Kaiyu
    Li, Bing
    Zhang, Yongde
    JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2022, 22 (07)
  • [44] Robot hand-eye cooperation based on improved inverse reinforcement learning
    Yu, Ning
    Nan, Lin
    Ku, Tao
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2022, 49 (05): : 877 - 884
  • [45] On the Imitation of Goal Directed Movements of a Humanoid Robot
    Bao, Yunqing
    Cuijpers, Raymond H.
    INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2017, 9 (05) : 691 - 703
  • [46] Deep Reinforcement Learning Control of Hand-Eye Coordination with a Software Retina
    Boyd, Lewis Campbell
    Popovic, Vanja
    Siebert, Jan Paul
    2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
  • [47] A Model with Feedback Mechanism for Learning Hand-Eye Coordination: A Pilot Study
    Bajaj, Jitin
    Yadav, Yad R.
    Sinha, Mallika
    Kumar, Ambuj
    Hedaoo, Ketan
    Ratre, Shailendra
    Parihar, Vijay
    Swamy, Narayan M.
    NEUROLOGY INDIA, 2024, 72 (02) : 395 - 398
  • [48] 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
  • [49] HAND-EYE COORDINATION DURING COMPLEX TASKS
    BALLARD, D
    HAYHOE, M
    LI, F
    WHITEHEAD, S
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 1992, 33 (04) : 1355 - 1355
  • [50] LEARNING GOAL-DIRECTED SENSORY-BASED NAVIGATION OF A MOBILE ROBOT
    TANI, J
    FUKUMURA, N
    NEURAL NETWORKS, 1994, 7 (03) : 553 - 563