Papers
2
Total Citations
21
H-Index
2
About
Miki Fujita is a leading researcher in robotic automation for laboratory workflows, with a primary focus on integrating collaborative robots into liquid handling processes. Her major contributions center on developing flexible, vision-guided systems that enable standard manual pipettes to be operated by 6-DoF robot manipulators, eliminating the need for expensive, dedicated liquid handling stations. In her most-cited work (2023, 17 citations), Fujita introduced a novel approach combining uncalibrated vision and tool center point (TCP) control to precisely integrate a pipette into a robot end-effector, significantly enhancing adaptability in dynamic lab environments. Her earlier foundational paper (2022, 4 citations) established the core methodology for end-effector design and collaborative robot-pipette integration. Fujita’s research is notable for its practical impact on flexible automation, reducing barriers to entry for labs seeking to automate repetitive liquid dispensing tasks. Her work bridges the gap between industrial robotics and biomedical research, offering scalable solutions that improve throughput and reproducibility. With a growing citation footprint, Fujita is recognized for advancing accessible, low-cost automation in the life sciences.
Research Focus
Key Achievements
Top Papers
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