Robotics

AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation
A large-scale real-world multimodal dataset for mobile manipulation featuring 25,469 episodes with synchronized RGB images, joint states, force-torque signals, and a novel two-layer annotation schema for hierarchical learning.
Ryosuke Takanami, Petr Khrapchenkov, Shu Morikuni, Jumpei Arima, Yuta Takaba, Shunsuke Maeda, Takuya Okubo, Genki Sano, Satoshi Sekioka, Aoi Kadoya, Motonari Kambara, Naoya Nishiura, Haruto Suzuki, Takanori Yoshimoto, Koya Sakamoto, Shinnosuke Ono, Hu Yang, Daichi Yashima, Aoi Horo, Tomohiro Motoda, Kensuke Chiyoma, Hiroshi Ito, Koki Fukuda, Akihito Goto, Kazumi Morinaga, Yuya Ikeda, Riko Kawada, Masaki Yoshikawa, Norio Kosuge, Yuki Noguchi, Kei Ota, Tatsuya Matsushima, Yusuke Iwasawa, Yutaka Matsuo, Tetsuya Ogata
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AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation
A Tutorial on Vision-Language-Action Models for Humanoid Control
An introductory presentation on VLA models and their impact on humanoid robotics targeted at graduate students in computer science, created as a part of coursework.
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