LEARNING
Effect of Neural Network on Robot Position Control Using Force Information
Yifei Zhang, Pingguo Huang, Yutaka Ishibashi, Takashi Okuda, Kostas E. Psannis
- 发表年份
- 2021
- 引用次数
- 4
摘要
In this paper, we focus on the application of a neural network model to QoS (Quality of Service) control for a remote robot system with force feedback. We have constructed the model to improve the efficiency of the robot position control using force information, which was proposed as QoS control previously. By experiment, we demonstrate that the model is effective.
关键词
Computer scienceArtificial neural networkQuality of serviceRobotPosition (finance)Control (management)Robot controlFocus (optics)Quality (philosophy)Control network
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002