A via-point time optimization algorithm for complex sequential trajectory formation
スポンサーリンク
概要
- 論文の詳細を見る
- 2004-04-01
著者
-
Wada Yasuhiro
Nagaoka University Of Technology
-
Kawato Mitsuo
Atr Computational Neuroscience Laboratories Dep. Of Computational Neurobiology 2-2-2 Hikaridai Seika
-
Kawato Mitsuo
Atr Computational Neuroscience Laboratories
関連論文
- Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops : fMRI examination in stimulus-action-reward association learning
- Quantitative examinations for multi joint arm trajectory planning-using a robust calculation algorithm of the minimum commanded torque change trajectory
- A model of smooth pursuit in primates based on learning the target dynamics
- Reinforcement learning with via-point representation
- Quantitative Examinations for Human Arm Trajectory Planning in Three-Dimensional Space
- Recurrent Neural Networks for Formation and Perception Using Motion Via-Points Representation
- Acquisition and contextual switching of multiple internal models for different viscous force fields
- Acquisition of Multiple Internal Models under Multiple Viscous Force Fields
- Feedforward impedance control efficiently reduce motor variability
- Conceptual and Computational Models of Mirror Neurons
- A via-point time optimization algorithm for complex sequential trajectory formation
- A computational model of spatio-temporal dynamics in depth filling-in
- S3f2-3 Towards Manipulative Neuroscience based on Brain Network Interface(S3-f2: "Advances in Anatomical, Functional, and Computational Brain Imaging",Symposia,Abstract,Meeting Program of EABS & BSJ 2006)