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Daichi Yashima
Daichi Yashima is a robotics researcher at Keio University focused on foundation models, multimodal language understanding, and embodied AI.
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Mobile Manipulation Instruction Generation from Multiple Images with Automatic Metric Enhancement
Published in IEEE RA-L, 2025
In this study we propose a novel training method that leverages both learning-based and n-gram based automatic evaluation metrics as rewards to generate free-form mobile manipulation instructions.
Recommended citation: K. Katsumata, M. Kambara, D. Yashima, R. Korekata, and K. Sugiura, "Mobile Manipulation Instruction Generation from Multiple Images with Automatic Metric Enhancement", IEEE RA-L, vol. 10, no. 3, pp. 3022–3029, 2025.
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Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning With Dense Labeling
Published in IEEE RA-L, 2025
In this study we propose RelaX-Former, a method that leverages unlabeled positive labels and introduces a double relaxed contrastive learning approach to handle unlabeled positive and negative samples, improving the alignment between images and text.
Recommended citation: D. Yashima, R. Korekata, and K. Sugiura, "Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning With Dense Labeling", IEEE RA-L, vol. 10, no. 2, pp. 1728–1735, 2025.
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AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation
Published in arXiv, 2025
We present the AIRoA MoMa Dataset, a large-scale hierarchical dataset designed to advance research in mobile manipulation within indoor environments.
Recommended citation: R. Takanami, P. Khrapchenkov, S. Morikuni, J. Arima, Y. Takaba, S. Maeda, T. Okubo, G. Sano, S. Sekioka, A. Kadoya, M. Kambara, N. Nishiura, H. Suzuki, T. Yoshimoto, K. Sakamoto, S. Ono, H. Yang, D. Yashima, A. Horo, T. Motoda, K. Chiyoma, H. Ito, K. Fukuda, A. Goto, K. Morinaga, Y. Ikeda, R. Kawada, M. Yoshikawa, N. Kosuge, Y. Noguchi, K. Ota, T. Matsushima, Y. Iwasawa, Y. Matsuo, and T. Ogata (2025). ``AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation', arXiv preprint arXiv:2509.25032.
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