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Embodying Pre-Trained Word Embeddings Through Robot Actions


Apr 17, 2021
Minori Toyoda, Kanata Suzuki, Hiroki Mori, Yoshihiko Hayashi, Tetsuya Ogata

* IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 4225-4232, 2021 
* To appear in IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA 2021) 

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In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning


Mar 17, 2021
Kanata Suzuki, Momomi Kanamura, Yuki Suga, Hiroki Mori, Tetsuya Ogata

* Submitted to IROS 2021 

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Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask


Jan 18, 2021
Kanata Suzuki, Tetsuya Ogata

* Published as a conference paper at ICONIP 2020 

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HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation


Mar 31, 2020
Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata

* 8 pages, 11 figures, submitted to Ro-MAN 2020 

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A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification


Mar 12, 2020
Yasuto Yokota, Kanata Suzuki, Yuzi Kanazawa, Tomoyoshi Takebayashi

* 7 pages 

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Undefined-behavior guarantee by switching to model-based controller according to the embedded dynamics in Recurrent Neural Network


Mar 10, 2020
Kanata Suzuki, Hiroki Mori, Tetsuya Ogata

* 8pages 

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Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach


Mar 08, 2020
Kanata Suzuki, Yasuto Yokota, Yuzi Kanazawa, Tomoyoshi Takebayashi

* 8 pages 

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Motion Switching with Sensory and Instruction Signals by designing Dynamical Systems using Deep Neural Network


Jul 05, 2018
Kanata Suzuki, Hiroki Mori, Tetsuya Ogata

* 8 pages, 6 figures, accepted for publication in RA-L. An accompanied video is available at this https://youtu.be/a73KFtOOB5Y 

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