Kuniyuki Takahashi
Kuniyuki Takahashi
Preferred Networks, Inc. Researcher
Verified email at preferred.jp - Homepage
Cited by
Cited by
Interactively picking real-world objects with unconstrained spoken language instructions
J Hatori, Y Kikuchi, S Kobayashi, K Takahashi, Y Tsuboi, Y Unno, W Ko, ...
2018 IEEE International Conference on Robotics and Automation (ICRA), 3774-3781, 2018
Tool-body assimilation model considering grasping motion through deep learning
K Takahashi, K Kim, T Ogata, S Sugano
Robotics and Autonomous Systems 91, 115-127, 2017
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images
K Takahashi, J Tan
2019 IEEE/RSJ International Conference Robotics and Automation (ICRA2019), 2019
Neural network based model for visual-motor integration learning of robot's drawing behavior: Association of a drawing motion from a drawn image
K Sasaki, H Tjandra, K Noda, K Takahashi, T Ogata
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
Tool-body assimilation model based on body babbling and neurodynamical system
K Takahashi, T Ogata, H Tjandra, Y Yamaguchi, S Sugano
Mathematical Problems in Engineering 2015, 2015
Dynamic Motion Learning for Multi-DOF Flexible-Joint Robots Using Active-Passive Motor Babbling through Deep Learning
K Takahashi, T Ogata, J Nakanishi, G Cheng, S Sugano
Advanced Robotics 31 (18), 1002-1015, 2017
Effective motion learning for a flexible-joint robot using motor babbling
K Takahashi, T Ogata, H Yamada, H Tjandra, S Sugano
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
Map-based multi-policy reinforcement learning: enhancing adaptability of robots by deep reinforcement learning
A Kume, E Matsumoto, K Takahashi, W Ko, J Tan
arXiv preprint arXiv:1710.06117, 2017
Tool-body assimilation model based on body babbling and a neuro-dynamical system for motion generation
K Takahashi, T Ogata, H Tjandra, S Murata, H Arie, S Sugano
International Conference on Artificial Neural Networks, 363-370, 2014
Tool-body assimilation model using a neuro-dynamical system for acquiring representation of tool function and motion
K Takahshi, T Ogata, H Tjandra, Y Yamaguchi, Y Suga, S Sugano
2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2014
Handling and grasp control with additional grasping point for dexterous manipulation of cylindrical tool
T Sugaiwa, K Takahashi, H Kano, H Iwata, S Sugano
2011 IEEE International Conference on Robotics and Biomimetics, 733-738, 2011
Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data
T Anzai, K Takahashi
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Conditional generative adversarial networks によるロボットアームの障害物回避軌道計画
鳥島亮太, 森裕紀, 高橋城志, 岡野原大輔, 尾形哲也
ロボティクス・メカトロニクス講演会講演概要集 2019, 1P2-A14, 2019
Effective input order of dynamics learning tree
CH Kim, S Hama, R Hirai, K Takahashi, H Yamada, T Ogata, S Sugano
Advanced Robotics 32 (3), 122-136, 2018
日本ロボット学会誌 38 (6), 521-524, 2020
Dynamic Motion Generation by Flexible-Joint Robot based on Deep Learning using Images
Y Wu, K Takahashi, H Yamada, K KIM, S Murata, S Sugano, T Ogata
IEEE International Conference on Development and Learning and on Epigenetic …, 2018
濱翔平, 平井諒, 高橋城志, 山田浩貴, 尾形哲也, 菅野重樹, 金天海
第 78 回全国大会講演論文集 2016 (1), 367-368, 2016
Motion Generation of Flexible Object Folding Task applied on Humanid Robot Using Deep Learning
K Suzuki, K Takahashi, G Cheng, T Ogata
78th national conference of Processing Society of Japan, 2016
Efficient Motor Babbling Using Variance Predictions from a Recurrent Neural Network
K Takahashi, K Suzuki, T Ogata, H Tjandra, S Sugano
22nd International Conference on Neural Information Processing (ICONIP2015 …, 2015
Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods
K Takahashi, W Ko, A Ummadisingu, S Maeda
2021 IEEE International Conference on International Conference on Robotics …, 2021
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