| 2025 | IROS | Interactive Object Detection by Mitigating Uncertainty of Robot Task Plans using Large Language Model. | Kanata Suzuki, Akane Ushizaka, Kazuki Hori, Tetsuya Ogata |
| 2024 | IROS | Sensorimotor Attention and Language-based Regressions in Shared Latent Variables for Integrating Robot Motion Learning and LLM. | Kanata Suzuki, Tetsuya Ogata |
| 2023 | ICANN | Multi-Timestep-Ahead Prediction with Mixture of Experts for Embodied Question Answering. | Kanata Suzuki, Yuya Kamiwano, Naoya Chiba, Hiroki Mori, Tetsuya Ogata |
| 2021 | IROS | In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning. | Kanata Suzuki, Momomi Kanamura, Yuki Suga, Hiroki Mori, Tetsuya Ogata |
| 2021 | IROS | Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm. | Kanata Suzuki, Taro Sunagawa, Tomotake Sasaki, Takashi Katoh |
| 2020 | ICONIP | Stable Deep Reinforcement Learning Method by Predicting Uncertainty in Rewards as a Subtask. | Kanata Suzuki, Tetsuya Ogata |
| 2020 | RO-MAN | HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation. | Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata |
| 2018 | ICRA | Put-in-Box Task Generated from Multiple Discrete Tasks by aHumanoid Robot Using Deep Learning. | Kei Kase, Kanata Suzuki, Pin-Chu Yang, Hiroki Mori, Tetsuya Ogata |
| 2015 | ICONIP | Efficient Motor Babbling Using Variance Predictions from a Recurrent Neural Network. | Kuniyuki Takahashi, Kanata Suzuki, Tetsuya Ogata, Hadi Tjandra, Shigeki Sugano |