Sciweavers

28 search results - page 1 / 6
» Codevelopmental Learning Between Human and Humanoid Robot Us...
Sort
View
TSMC
2008
162views more  TSMC 2008»
13 years 4 months ago
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masat...
IROS
2009
IEEE
116views Robotics» more  IROS 2009»
13 years 11 months ago
Stable whole-body motion generation for humanoid robots to imitate human motions
—This work presents a methodology to generate dynamically stable whole-body motions for a humanoid robot, which are converted from human motion capture data. The methodology cons...
Seungsu Kim, ChangHwan Kim, Bum-Jae You, Sangrok O...
IROS
2006
IEEE
152views Robotics» more  IROS 2006»
13 years 10 months ago
Locomotion Imitation of Humanoid Using Goal-directed Self-adjusting Adaptor
- We propose a novel framework for imitation learning that helps a humanoid robot achieve its goal of learning. There are apparent discrepancies in shapes and sizes among humans an...
Woosung Yang, Nak Young Chong, ChangHwan Kim, Bum-...
IROS
2008
IEEE
161views Robotics» more  IROS 2008»
13 years 11 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...
IROS
2009
IEEE
201views Robotics» more  IROS 2009»
13 years 11 months ago
Modeling tool-body assimilation using second-order Recurrent Neural Network
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
Shun Nishide, Tatsuhiro Nakagawa, Tetsuya Ogata, J...