Kanata Suzuki

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 33

Top Topics

Top Venues

IEEE Robotics Autom. Lett.

Publications

Kazuki Hori, Kanata Suzuki, Tetsuya Ogata
Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model. SII (2024)
Kanata Suzuki, Tetsuya Ogata
Sensorimotor Attention and Language-based Regressions in Shared Latent Variables for Integrating Robot Motion Learning and LLM. CoRR (2024)
Kazuki Hori, Kanata Suzuki, Tetsuya Ogata
Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model. CoRR (2023)
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 (2023)
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 (2023)
Kanata Suzuki, Hiroshi Ito, Tatsuro Yamada, Kei Kase, Tetsuya Ogata
Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics. CoRR (2023)
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 (2022)
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)
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) (2022)
Minori Toyoda, Kanata Suzuki, Yoshihiko Hayashi, Tetsuya Ogata
Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data. CoRR (2022)
Momomi Kanamura, Kanata Suzuki, Yuki Suga, Tetsuya Ogata
Development of a Basic Educational Kit for Robotic System with Deep Neural Networks. Sensors 21 (11) (2021)
Minori Toyoda, Kanata Suzuki, Hiroki Mori, Yoshihiko Hayashi, Tetsuya Ogata
Embodying Pre-Trained Word Embeddings Through Robot Actions. CoRR (2021)
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)
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)
Kanata Suzuki, Momomi Kanamura, Yuki Suga, Hiroki Mori, Tetsuya Ogata
In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning. CoRR (2021)
Kanata Suzuki, Tetsuya Ogata
Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask. CoRR (2021)
Minori Toyoda, Kanata Suzuki, Hiroki Mori, Yoshihiko Hayashi, Tetsuya Ogata
Embodying Pre-Trained Word Embeddings Through Robot Actions. IEEE Robotics Autom. Lett. 6 (2) (2021)
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) (2021)
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 (2021)
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 (2021)
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 (2020)
Yasuto Yokota, Kanata Suzuki, Yuzi Kanazawa, Tomoyoshi Takebayashi
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification. CoRR (2020)
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)
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 (2020)
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)
Yasuto Yokota, Kanata Suzuki, Yuzi Kanazawa, Tomoyoshi Takebayashi
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification. SII (2020)
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 (2020)
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 (2020)
Kanata Suzuki, Tetsuya Ogata
Stable Deep Reinforcement Learning Method by Predicting Uncertainty in Rewards as a Subtask. ICONIP (2) (2020)
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)
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) (2018)
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) (2017)
Kanata Suzuki, Hiroki Mori, Tetsuya Ogata
Online Motion Generation with Sensory Information and Instructions by Hierarchical RNN. CoRR (2017)
Kuniyuki Takahashi, Kanata Suzuki, Tetsuya Ogata, Hadi Tjandra, Shigeki Sugano
Efficient Motor Babbling Using Variance Predictions from a Recurrent Neural Network. ICONIP (3) (2015)