The starred authors(*) are co-first authors and contributed equally.
- Kazuki Hori, Kanata Suzuki, Tetsuya Ogata: Enhancement of Long-Horizon Task Planning via Active and Passive Modification in Large Language Models, Scientific Reports, 15, 7113, 2025.
- Kanata Suzuki, Tetsuya Ogata: Sensorimotor Attention and Language-based Regressions in Shared Latent Variables for Integrating Robot Motion Learning and LLM, Proceedings of 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'24), 2024.
- Kanata Suzuki*, Hiroshi Ito*, Tatsuro Yamada*, Kei Kase*, Tetsuya Ogata*: Deep Predictive Learning: Motion Learning Concept inspired by Cognitive Robotics, arXiv preprint arXiv:2306.14714, [Code].
- Minori Toyoda*, Kanata Suzuki*, Yoshihiko Hayashi, Tetsuya Ogata: Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data, IEEE Robotics and Automation Letters, vol.7, no.4, pp.10930-10937, 2022 (presented at IROS'22).
- Kanata Suzuki*, Momomi Kanamura*, Yuki Suga, Hiroki Mori, Tetsuya Ogata: In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning, Proceedings of 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'21), pp.6724-6731, 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 and Automation Letters, vol.6, no.2, pp.3475-3482, 2021 (presented at ICRA'21).
- Kanata Suzuki, Hiroki Mori, Tetsuya Ogata: Motion Switching with Sensory and Instruction Signals by designing Dynamical Systems using Deep Neural Network, IEEE Robotics and Automation Letters, vol.3, issue.4, pp.3481-3488, 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 and Automation Letters, vol.2, no.2, pp.397-403, 2017 (presented at ICRA'17).
