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ORCIDKanata Suzuki
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2020 – today
- 2024
[c11]Kazuki Hori, Kanata Suzuki, Tetsuya Ogata:
Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model. SII 2024: 85-91- [i15]Kanata Suzuki, Tetsuya Ogata:
Sensorimotor Attention and Language-based Regressions in Shared Latent Variables for Integrating Robot Motion Learning and LLM. CoRR abs/2407.09044 (2024) - 2023
- [j9]Akira Sakai
, Masafumi Yagi, Suguru Yasutomi, Kazuki Mizuno, Kanata Suzuki, Keiichi Goto:
Machine Learning Approach for Frozen Tuna Freshness Inspection Using Low-Frequency A-Mode Ultrasound. IEEE Access 11: 107379-107393 (2023) - [c10]Kanata Suzuki, Yuya Kamiwano, Naoya Chiba, Hiroki Mori, Tetsuya Ogata:
Multi-Timestep-Ahead Prediction with Mixture of Experts for Embodied Question Answering. ICANN (6) 2023: 243-255 - [i14]Kanata Suzuki, Hiroshi Ito, Tatsuro Yamada, Kei Kase, Tetsuya Ogata:
Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics. CoRR abs/2306.14714 (2023) - [i13]Kazuki Hori, Kanata Suzuki, Tetsuya Ogata:
Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model. CoRR abs/2308.15684 (2023) - [i12]Namiko Saito, Mayu Hiramoto, Ayuna Kubo, Kanata Suzuki, Hiroshi Ito, Shigeki Sugano, Tetsuya Ogata:
Realtime Motion Generation with Active Perception Using Attention Mechanism for Cooking Robot. CoRR abs/2309.14837 (2023) - 2022
- [j8]Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki:
Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations. Neural Networks 155: 119-143 (2022) - [j7]Minori Toyoda, Kanata Suzuki, Yoshihiko Hayashi, Tetsuya Ogata:
Learning Bidirectional Translation Between Descriptions and Actions With Small Paired Data. IEEE Robotics Autom. Lett. 7(4): 10930-10937 (2022) - [c9]Wakana Fujii, Kanata Suzuki, Tomoki Ando, Ai Tateishi, Hiroki Mori, Tetsuya Ogata:
Buttoning Task with a Dual-Arm Robot: An Exploratory Study on a Marker-based Algorithmic Method and Marker-less Machine Learning Methods. SII 2022: 682-689 - [i11]Minori Toyoda, Kanata Suzuki, Yoshihiko Hayashi, Tetsuya Ogata:
Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data. CoRR abs/2203.04218 (2022) - 2021
- [j6]Kanata Suzuki, Hiroki Mori, Tetsuya Ogata:
Compensation for Undefined Behaviors During Robot Task Execution by Switching Controllers Depending on Embedded Dynamics in RNN. IEEE Robotics Autom. Lett. 6(2): 3475-3482 (2021) - [j5]Minori Toyoda, Kanata Suzuki, Hiroki Mori, Yoshihiko Hayashi, Tetsuya Ogata:
Embodying Pre-Trained Word Embeddings Through Robot Actions. IEEE Robotics Autom. Lett. 6(2): 4225-4232 (2021) - [j4]Momomi Kanamura, Kanata Suzuki, Yuki Suga, Tetsuya Ogata:
Development of a Basic Educational Kit for Robotic System with Deep Neural Networks. Sensors 21(11): 3804 (2021) - [c8]Kanata Suzuki, Momomi Kanamura, Yuki Suga, Hiroki Mori, Tetsuya Ogata:
In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning. IROS 2021: 6724-6731 - [c7]Kanata Suzuki, Taro Sunagawa, Tomotake Sasaki, Takashi Katoh:
Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm. IROS 2021: 9000-9007 - [i10]Kanata Suzuki, Tetsuya Ogata:
Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask. CoRR abs/2101.06906 (2021) - [i9]Kanata Suzuki, Momomi Kanamura, Yuki Suga, Hiroki Mori, Tetsuya Ogata:
In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning. CoRR abs/2103.09402 (2021) - [i8]Minori Toyoda, Kanata Suzuki, Hiroki Mori, Yoshihiko Hayashi, Tetsuya Ogata:
Embodying Pre-Trained Word Embeddings Through Robot Actions. CoRR abs/2104.08521 (2021) - [i7]Kanata Suzuki, Taro Sunagawa, Tomotake Sasaki, Takashi Katoh:
Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm. CoRR abs/2110.00947 (2021) - [i6]Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki:
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss. CoRR abs/2111.00131 (2021) - 2020
- [j3]Eiichiro Uchino, Kanata Suzuki, Noriaki Sato, Ryosuke Kojima, Yoshinori Tamada, Shusuke Hiragi, Hideki Yokoi, Nobuhiro Yugami, Sachiko Minamiguchi, Hironori Haga, Motoko Yanagita, Yasushi Okuno:
Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach. Int. J. Medical Informatics 141: 104231 (2020) - [c6]Kanata Suzuki, Tetsuya Ogata:
Stable Deep Reinforcement Learning Method by Predicting Uncertainty in Rewards as a Subtask. ICONIP (2) 2020: 651-662 - [c5]Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata:
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation. RO-MAN 2020: 384-391 - [c4]Kanata Suzuki, Yasuto Yokota, Yuzi Kanazawa, Tomoyoshi Takebayashi:
Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach. SII 2020: 205-212 - [c3]Yasuto Yokota, Kanata Suzuki, Yuzi Kanazawa, Tomoyoshi Takebayashi:
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification. SII 2020: 1033-1039 - [i5]Kanata Suzuki, Yasuto Yokota, Yuzi Kanazawa, Tomoyoshi Takebayashi:
Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach. CoRR abs/2003.03717 (2020) - [i4]Kanata Suzuki, Hiroki Mori, Tetsuya Ogata:
Undefined-behavior guarantee by switching to model-based controller according to the embedded dynamics in Recurrent Neural Network. CoRR abs/2003.04862 (2020) - [i3]Yasuto Yokota, Kanata Suzuki, Yuzi Kanazawa, Tomoyoshi Takebayashi:
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification. CoRR abs/2003.05624 (2020) - [i2]Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata:
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation. CoRR abs/2003.14121 (2020)
2010 – 2019
- 2018
- [j2]Kanata Suzuki, Hiroki Mori, Tetsuya Ogata:
Motion Switching With Sensory and Instruction Signals by Designing Dynamical Systems Using Deep Neural Network. IEEE Robotics Autom. Lett. 3(4): 3481-3488 (2018) - [c2]Kei Kase, Kanata Suzuki, Pin-Chu Yang, Hiroki Mori, Tetsuya Ogata:
Put-in-Box Task Generated from Multiple Discrete Tasks by aHumanoid Robot Using Deep Learning. ICRA 2018: 6447-6452 - 2017
- [j1]Pin-Chu Yang, Kazuma Sasaki, Kanata Suzuki, Kei Kase, Shigeki Sugano, Tetsuya Ogata:
Repeatable Folding Task by Humanoid Robot Worker Using Deep Learning. IEEE Robotics Autom. Lett. 2(2): 397-403 (2017) - [i1]Kanata Suzuki, Hiroki Mori, Tetsuya Ogata:
Online Motion Generation with Sensory Information and Instructions by Hierarchical RNN. CoRR abs/1712.05109 (2017) - 2015
- [c1]Kuniyuki Takahashi, Kanata Suzuki, Tetsuya Ogata, Hadi Tjandra, Shigeki Sugano:
Efficient Motor Babbling Using Variance Predictions from a Recurrent Neural Network. ICONIP (3) 2015: 26-33
Coauthor Index
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