| Case relation transformer: A crossmodal language generation model for fetching instructions M Kambara, K Sugiura IEEE Robotics and Automation Letters 6 (4), 8371-8378, 2021 | 10 | 2021 |
| Relational future captioning model for explaining likely collisions in daily tasks M Kambara, K Sugiura 2022 IEEE International Conference on Image Processing (ICIP), 2601-2605, 2022 | 5 | 2022 |
| Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine K Kaneda, S Nagashima, R Korekata, M Kambara, K Sugiura IEEE Robotics and Automation Letters, 2024 | 1 | 2024 |
| DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training K Kaneda, R Korekata, Y Wada, S Nagashima, M Kambara, Y Iioka, ... arXiv preprint arXiv:2311.06855, 2023 | | 2023 |
| Fully Automated Task Management for Generation, Execution, and Evaluation: A Framework for Fetch-and-Carry Tasks with Natural Language Instructions in Continuous Space M Kambara, K Sugiura arXiv preprint arXiv:2311.04260, 2023 | | 2023 |
| Switching Head-Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks R Korekata, M Kambara, Y Yoshida, S Ishikawa, Y Kawasaki, ... 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |
| Case Relation Transformer に基づく対象物体及び目標領域の参照表現を含む物体操作指示文生成 神原元就， 杉浦孔明 人工知能学会全国大会論文集 第 35 回 (2021), 4J1GS6d05-4J1GS6d05, 2021 | | 2021 |
