- M. Goko*, M. Kambara*, S. Otsuki, D. Saito, and K. Sugiura, “Task Success Prediction for Open-Vocabulary Manipulation Based on Multi-Level Aligned Representations”, CoRL, 2024, to appear. (*: Equal contribution) project page
- 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 RAL presented at IEEE/RSJ IROS, 2024, to appear. DOI: 10.1109/LRA.2024.3352363
- T. Nishimura, K. Kuyo, M. Kambara, and K. Sugiura, “Object Segmentation from Open-Vocabulary Manipulation Instructions Based on Optimal Transport Polygon Matching with Multimodal Foundation Models”, IEEE/RSJ IROS, 2024, to appear.
- M. Kambara, C. Hori, K. Sugiura, K. Ota, D. K Jha, S. Khurana, S. Jain, R. Corcodel, D. Romeres, J. L. Roux, “Human Action Understanding-based Robot Planning using Multimodal LLM”, ICRA 2024 Cooking Robotics Workshop, 2024. PDF
- R. Korekata, M. Kambara, Y. Yoshida, S. Ishikawa, Y. Kawasaki, M. Takahashi and K. Sugiura, “Switching Head–Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks”, IEEE/RSJ IROS, 2023. PDF
- K. Kaneda, R. Korekata, Y. Wada, S. Nagashima, M. Kambara, Y. Iioka, H. Matsuo, Y. Imai, T. Nishimura, and K. Sugiura, “DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training”, CVPR 2023 Embodied AI Workshop, 2023. PDF
- M. Kambara and K. Sugiura, “Fully Automated Task Management for Generation, Execution, and Evaluation: A Framework for Fetch-and-Carry Tasks with Natural Language Instructions in Continuous Space”, CVPR 2023 Embodied AI Workshop, 2023. PDF
- M. Kambara, K.Sugiura, “Relational Future Captioning Model for Explaining Likely Collisions in Daily Tasks”, IEEE ICIP, TP-V2.V13.14, 2022. PDF
- M. Kambara and K. Sugiura, “Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions”, IEEE RAL presented at IEEE/RSJ IROS, 2021. PDF
