3 citations · 3 across the 2 of their papers we have counts for
4 papers
Phase Portraits as Movement Primitives for Fast Humanoid Robot Control
Guilherme Maeda, Okan Koc, Jun Morimoto
Currently, usual approaches for fast robot control are largely reliant on solving online optimal control problems. Such methods are known to be computationally intensive and sensit…
An Optimal Assistive Control Strategy based on User's Motor Goal Estimation
Jun-ichiro Furukawa, Jun Morimoto
In this study, we propose an optimal assistive control strategy that uses estimated user's movement intention as the terminal cost function. We estimate the movement intention by o…
Identifying melancholic depression biomarker using whole-brain functional connectivity
Naho Ichikawa, Giuseppe Lisi, Noriaki Yahata +14
By focusing on melancholic features with biological homogeneity, this study aimed to identify a small number of critical functional connections (FCs) that were specific only to the…
Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration
Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt +2
The policy gradient approach is a flexible and powerful reinforcement learning method particularly for problems with continuous actions such as robot control. A common challenge in…