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» A Neural Network-Based Approach to Robot Motion Control
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CCE
2008
13 years 7 months ago
Differential recurrent neural network based predictive control
An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controll...
R. K. Al Seyab, Yi Cao
CORR
2010
Springer
155views Education» more  CORR 2010»
13 years 5 months ago
A QoS Provisioning Recurrent Neural Network based Call Admission Control for beyond 3G Networks
The Call admission control (CAC) is one of the Radio Resource Management (RRM) techniques that plays influential role in ensuring the desired Quality of Service (QoS) to the users...
H. S. Ramesh Babu, Gowrishankar, P. S. Satyanaraya...
ICRA
2009
IEEE
160views Robotics» more  ICRA 2009»
13 years 5 months ago
SBC for motion assist using neural oscillator
In this paper we propose a framework for synchronization based control (SBC) using neural oscillators for motion assist. A neural oscillator is used to accomplish synchronization a...
Xia Zhang, Minoru Hashimoto
IROS
2008
IEEE
129views Robotics» more  IROS 2008»
14 years 1 months ago
High-speed throwing motion based on kinetic chain approach
Abstract— In this paper the robotic throwing task is considered with the goal of achieving high-speed dynamic manipulation. We propose a kinetic chain approach for swing motion f...
Taku Senoo, Akio Namiki, Masatoshi Ishikawa
EAAI
2006
123views more  EAAI 2006»
13 years 7 months ago
Imitation learning with spiking neural networks and real-world devices
This article is about a new approach in robotic learning systems. It provides a method to use a real-world device that operates in real-time, controlled through a simulated recurr...
Harald Burgsteiner