A connectionist model for learning robotic grasps using reinforcement learning

被引：0
|
作者：
Moussa, MA [1 ]
Kamel, MS [1 ]
机构：
[1] UNIV WATERLOO,DEPT SYST DESIGN ENGN,PATTERN ANAL & MACHINE INTELLIGENCE LAB,WATERLOO,ON N2L 3G1,CANADA
来源：
ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4 | 1996年
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：
引用
收藏
页码：1771 / 1776
页数：4
相关论文
共 50 条
  • [1] Deep learning for detecting robotic grasps
    Lenz, Ian
    Lee, Honglak
    Saxena, Ashutosh
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2015, 34 (4-5): : 705 - 724
  • [2] An integrated connectionist approach to reinforcement learning for robotic control: Extension to three dimensions
    Hougen, DF
    Gini, M
    Slagle, J
    [J]. INTELLIGENT AUTONOMOUS SYSTEMS 7, 2002, : 134 - 141
  • [3] Robotic Grasping using Deep Reinforcement Learning
    Joshi, Shirin
    Kumra, Sulabh
    Sahin, Ferat
    [J]. 2020 IEEE 16TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2020, : 1461 - 1466
  • [4] Connectionist reinforcement learning of robot control skills
    Araujo, R
    Nunes, U
    de Almeida, AT
    [J]. COMPUTING ANTICIPATORY SYSTEMS: CASYS - FIRST INTERNATIONAL CONFERENCE, 1998, 437 : 364 - 373
  • [5] A CONNECTIONIST MODEL OF MUSICAL LEARNING
    FISKE, HE
    [J]. BULLETIN OF THE COUNCIL FOR RESEARCH IN MUSIC EDUCATION, 1996, (127) : 57 - 62
  • [6] A robotic model of hippocampal reverse replay for reinforcement learning
    Whelan, Matthew T.
    Jimenez-Rodriguez, Alejandro
    Prescott, Tony J.
    Vasilaki, Eleni
    [J]. BIOINSPIRATION & BIOMIMETICS, 2023, 18 (01)
  • [7] Reinforcement learning and apprenticeship learning for robotic control
    Ng, Andrew
    [J]. DISCOVERY SCIENCE, PROCEEDINGS, 2006, 4265 : 14 - 14
  • [8] Reinforcement learning and apprenticeship learning for robotic control
    Ng, Andrew Y.
    [J]. ALGORITHMIC LEARNING THEORY, PROCEEDINGS, 2006, 4264 : 29 - 31
  • [9] Robotic assembly of timber joints using reinforcement learning
    Apolinarska, Aleksandra Anna
    Pacher, Matteo
    Li, Hui
    Cote, Nicholas
    Pastrana, Rafael
    Gramazio, Fabio
    Kohler, Matthias
    [J]. AUTOMATION IN CONSTRUCTION, 2021, 125
  • [10] Online Evaluation for Learning Feasible Robotic Grasps With Physical Constraints
    Liu, Daohui
    Chen, Rui
    Luo, Jun
    Liu, Xingjian
    Sun, Yu
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024,
12345