Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Harumitsu Nobuta"'
Publikováno v:
Advanced Robotics. 29:587-596
Intrinsic motivation is one of the keys in implementing the mechanism of interest to robots. In this paper, we present a method to apply intrinsic motivation in dynamics learning with predictable and unpredictable targets in view. The robot’s arm i
Publikováno v:
URAI
In this paper, we present a method to apply intrinsic motivation for improving visuomotor learning of robot's arm with external object in view. Multiple Timescales Recurrent Neural Network (MTRNN) is utilized for learning the robot arm/external objec
Autor:
Kuniaki Noda, Tetsuya Ogata, Hiroshi G. Okuno, Kohtaro Sabe, Harumitsu Nobuta, Kenta Kawamoto, Shun Nishide
Publikováno v:
IJCNN
We propose neural models for segmenting the area of a body from visual scene based on predictability. Neuroscience has shown that a prediction model in brain, which predicts sensory-feedback from motor command, can divide the sensory-feedback into th
Publikováno v:
2011 IEEE/SICE International Symposium on System Integration (SII).
The goal of our work is to acquire an internal model through a robot's experience. The internal model has the ability for mutual conversion between motor commands and movement of the body (e.g. hand) in view. Unlike other works, which assume the robo