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Kuniyuki Takahashi
Kuniyuki Takahashi
Preferred Networks, Inc. Researcher
Verified email at preferred.jp - Homepage
Title
Cited by
Cited by
Year
Interactively picking real-world objects with unconstrained spoken language instructions
J Hatori*, Y Kikuchi*, S Kobayashi*, K Takahashi*, Y Tsuboi*, Y Unno*, ...
2018 IEEE International Conference on Robotics and Automation (ICRA), 3774-3781, 2018
1972018
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images
K Takahashi, J Tan
2019 IEEE/RSJ International Conference Robotics and Automation (ICRA2019), 2019
742019
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
512017
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
402020
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
282017
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
242021
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 (1), 837540, 2015
232015
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
222015
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
212017
Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection
A Ummadisingu, K Takahashi, N Fukaya
2022 IEEE International Conference on International Conference on Robotics …, 2022
162022
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
132015
Target-mass Grasping of Entangled Food using Pre-grasping & Post-grasping
K Takahashi, N Fukaya, A Ummadisingu
IEEE Robotics and Automation Letters (RA-L) 7 (2), 1222-1229, 2022
122022
Sim-to-Real Transfer of Compliant Bipedal Locomotion on Torque Sensor-Less Gear-Driven Humanoid
S Masuda, K Takahashi
2023 IEEE-RAS International Conference on Humanoid Robots (Humanoids 2023), 2023
8*2023
Learning-based Collision-free Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs
T Ando, H Iino, H Mori, R Torishima, K Takahashi, S Yamaguchi, ...
Advanced Robotics, 2023
52023
Machine learning for cognitive robotics
T Ogata, K Takahashi, T Yamada, S Murata, K Sasaki
52022
Invisible Marker: Automatic Annotation of Segmentation Masks for Object Manipulation
K Takahashi*, K Yonekura*
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
5*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
52018
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
52014
Collision-free Path Planning in the Latent Space through cGANs
T Ando, H Mori, R Torishima, K Takahashi, S Yamaguchi, D Okanohara, ...
arXiv preprint arXiv:2202.07203, 2022
42022
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
Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014
42014
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