Kanata Suzuki
Kanata Suzuki
Researcher, Fujitsu.
Bestätigte E-Mail-Adresse bei jp.fujitsu.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Repeatable folding task by humanoid robot worker using deep learning
PC Yang, K Sasaki, K Suzuki, K Kase, S Sugano, T Ogata
IEEE Robotics and Automation Letters 2 (2), 397-403, 2016
1522016
Put-in-Box Task Generated from Multiple Discrete Tasks by aHumanoid Robot Using Deep Learning
K Kase, K Suzuki, PC Yang, H Mori, T Ogata
2018 IEEE International Conference on Robotics and Automation (ICRA), 6447-6452, 2018
162018
Motion switching with sensory and instruction signals by designing dynamical systems using deep neural network
K Suzuki, H Mori, T Ogata
IEEE Robotics and Automation Letters 3 (4), 3481-3488, 2018
132018
Classification of glomerular pathological findings using deep learning and nephrologist–AI collective intelligence approach
E Uchino, K Suzuki, N Sato, R Kojima, Y Tamada, S Hiragi, H Yokoi, ...
International Journal of Medical Informatics 141, 104231, 2020
112020
Online self-supervised learning for object picking: detecting optimum grasping position using a metric learning approach
K Suzuki, Y Yokota, Y Kanazawa, T Takebayashi
2020 IEEE/SICE International Symposium on System Integration (SII), 205-212, 2020
82020
Detecting Hand Joint Ankylosis in Radiographic Images Using Deep Learning: A Step in Development of Automatic Radiographic Scoring System for Bone Destruction
K Izumi
2018 ACR/ARHP Annual Meeting, 2018
42018
Repeatable Folding Task by Humanoid Robot Worker Using Deep Learning. IEEE Robotics and Automation Letters 2, 2 (April 2017), 397--403
PC Yang, K Sasaki, K Suzuki, K Kase, S Sugano, T Ogata
22016
WOZ 法を用いた動作教示を利用した RNN によるオンライン動作生成
鈴木彼方
第 17 回計測自動制御学会システム・インテグレーション部門講演会, 0
2
Compensation for Undefined Behaviors During Robot Task Execution by Switching Controllers Depending on Embedded Dynamics in RNN
K Suzuki, H Mori, T Ogata
IEEE Robotics and Automation Letters 6 (2), 3475-3482, 2021
12021
HATSUKI: An anime character like robot figure platform with anime-style expressions and imitation learning based action generation
PC Yang, M Al-Sada, CC Chiu, K Kuo, TP Tomo, K Suzuki, N Yalta, ...
2020 29th IEEE International Conference on Robot and Human Interactive …, 2020
12020
A multi-task learning framework for grasping-position detection and few-shot classification
Y Yokota, K Suzuki, Y Kanazawa, T Takebayashi
2020 IEEE/SICE International Symposium on System Integration (SII), 1033-1039, 2020
12020
SAT0543 AUTOMATIC DETECTION OF HAND JOINT REGION, ANKYLOSIS AND SUBLUXATION IN RADIOGRAPHIC IMAGES USING DEEP LEARNING: DEVELOPMENT OF ARTIFICIAL INTELLIGENCE-BASED …
K Izumi, K Suzuki, M Hashimoto, T Endoh, K Doi, Y Iwai, J Inamo, Y Ota, ...
Annals of the Rheumatic Diseases 78 (Suppl 2), 1364-1364, 2019
12019
深層学習モデルによる動作指示に基づく衣服折り畳みタスク学習
鈴木彼方, 加瀬敬唯, 尾形哲也
人工知能学会全国大会論文集 第 31 回全国大会 (2017), 3D2OS37b3-3D2OS37b3, 2017
12017
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
12016
Efficient motor babbling using variance predictions from a recurrent neural network
K Takahashi, K Suzuki, T Ogata, H Tjandra, S Sugano
International Conference on Neural Information Processing, 26-33, 2015
12015
Embodying pre-trained word embeddings through robot actions
M Toyoda, K Suzuki, H Mori, Y Hayashi, T Ogata
IEEE Robotics and Automation Letters 6 (2), 4225-4232, 2021
2021
In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning
K Suzuki, M Kanamura, Y Suga, H Mori, T Ogata
arXiv preprint arXiv:2103.09402, 2021
2021
Stable Deep Reinforcement Learning Method by Predicting Uncertainty in Rewards as a Subtask
K Suzuki, T Ogata
International Conference on Neural Information Processing, 651-662, 2020
2020
AB1103 AUTOMATIC FINGER JOINT BONE EROSION SCORE PREDICTION CONSIDERING 2-TIME-POINT X-RAYS OF PATIENTS WITH RHEUMATOID ARTHRITIS BY DEEP LEARNING
K Izumi, K Suzuki, M Hashimoto, T Endoh, K Doi, Y Iwai, Y Kaneko, ...
Annals of the Rheumatic Diseases 79 (Suppl 1), 1840-1841, 2020
2020
Storage medium having stored learning program, learning method, and learning apparatus
K Suzuki, Y Yokota
US Patent App. 16/662,734, 2020
2020
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