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» Explanation-Based Neural Network Learning for Robot Control
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IROS
2006
IEEE
97views Robotics» more  IROS 2006»
15 years 8 months ago
A New Method of Force Control for Unknown Environments
–We propose a new control technique for force control on unknown environments. In particular, the proposed approach overcomes the need for precise estimation of environment param...
Vishnu Mallapragada, Duygun Erol, Nilanjan Sarkar
ESANN
2004
15 years 3 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom
IROS
2009
IEEE
174views Robotics» more  IROS 2009»
15 years 8 months ago
Characterization and modeling of wireless channels for networked robotic and control systems - a comprehensive overview
— The goal of this paper is to serve as a reference for researchers in robotics and control that are interested in realistic modeling, theoretical analysis and simulation of wire...
Yasamin Mostofi, Alejandro Gonzalez-Ruiz, Alireza ...
CEC
2009
IEEE
15 years 6 months ago
Memory-enhanced Evolutionary Robotics: The Echo State Network Approach
— Interested in Evolutionary Robotics, this paper focuses on the acquisition and exploitation of memory skills. The targeted task is a well-studied benchmark problem, the Tolman ...
Cédric Hartland, Nicolas Bredeche, Mich&egr...
IROS
2008
IEEE
161views Robotics» more  IROS 2008»
15 years 8 months ago
Segmenting acoustic signal with articulatory movement using Recurrent Neural Network for phoneme acquisition
— This paper proposes a computational model for phoneme acquisition by infants. Human infants perceive speech sounds not as discrete phoneme sequences but as continuous acoustic ...
Hisashi Kanda, Tetsuya Ogata, Kazunori Komatani, H...