Journal

  1. M. Kambara and K. Suigura, “Pre-Manipulation Alignment Prediction with Parallel Deep State-Space and Transformer Models”, Advanced Robotics, Vol. 39, Issue 13, pp. 806–816, 2025. DOI: 10.1080/01691864.2025.2532610. PDF
  2. K. Katsumata, M. Kambara, D. Yashima, R. Korekata, and K. Sugiura, “Mobile Manipulation Instruction Generation from Multiple Images with Automatic Metric Enhancement”, IEEE Robotics and Automation Letters, Vol. 10, Issue 3, pp. 3022-3029, 2025. DOI: 10.1109/LRA.2025.3539086. PDF
  3. T. Komatsu, M. Kambara, S. Hatanaka, H. Matsuo, T. Hirakawa, T. Yamashita, H. Fujiyoshi, and K. Sugiura, “Nearest Neighbor Future Captioning: Generating Descriptions for Possible Collisions in Object Placement Tasks”, Advanced Robotics, Vol. 38, Issue 18, pp. 1265-1276, 2024. DOI: 10.1080/01691864.2024.2388114. PDF
  4. K. Kaneda, S. Nagashima, R. Korekata, M. Kambara, and K. Sugiura, “Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine”, IEEE Robotics and Automation Letters, Vol. 9, Issue 3, pp. 2088-2095, 2024. DOI: 10.1109/LRA.2024.3352363. PDF
  5. M. Kambara and K. Sugiura, “Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions”, IEEE Robotics and Automation Letters, Vol. 6, Issue 4, pp. 8371-8378, 2021. DOI: 10.1109/LRA.2021.3107026. PDF