2024
Real-Time Spatiotemporal Assistance for Micromanipulation Using Imitation Learning
Ryoya Mori, Tadayoshi Aoyama, Taisuke Kobayashi, Kazuya Sakamoto, Masaru Takeuchi, Yasuhisa Hasegawa
RA-L 2024
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