Real-Time Spatiotemporal Assistance for Micromanipulation Using Imitation Learning

There has been an increasing demand for microscopic work using optical microscopes and micromanipulators for applications in various fields. However, microinjection requires skilled operators, and the considerable shortage of experts has become a recent challenge. We overcome this challenge by propo...

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Veröffentlicht in:	IEEE robotics and automation letters 2024-04, Vol.9 (4), p.1-8
Hauptverfasser:	Mori, Ryoya, Aoyama, Tadayoshi, Kobayashi, Taisuke, Sakamoto, Kazuya, Takeuchi, Masaru, Hasegawa, Yasuhisa
Format:	Artikel
Sprache:	eng
Schlagworte:	AI-Based Methods Artificial intelligence Biological Cell Manipulation Data models Force Gametocytes Haptic interfaces Human-Centered Robotics Imitation Learning Learning Micromanipulation Microscopy Optical microscopes Probabilistic models Rotation Shortages Spatiotemporal phenomena Trajectory Visualization
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