2 citations · 3 across the 20 of their papers we have counts for
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Imitation Learning for Active Neck Motion Enabling Robot Manipulation beyond the Field of View
Koki Nakagawa, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Most prior research in deep imitation learning has predominantly utilized fixed cameras for image input, which constrains task performance to the predefined field of view. However,…
Gaze-Guided Task Decomposition for Imitation Learning in Robotic Manipulation
Ryo Takizawa, Yoshiyuki Ohmura, Yasuo Kuniyoshi
In imitation learning for robotic manipulation, decomposing object manipulation tasks into sub-tasks enables the reuse of learned skills and the combination of learned behaviors to…
Multi-task real-robot data with gaze attention for dual-arm fine manipulation
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
In the field of robotic manipulation, deep imitation learning is recognized as a promising approach for acquiring manipulation skills. Additionally, learning from diverse robot dat…