The system contains a sensor, chip and tiny AI model inspired by biological eyes and brains and uses a tenth of the energy of a camera-based system.

RHyME requires just 30 minutes of robot data; in a lab setting, robots trained using the system achieved a more than 50% increase in task success compared to previous methods, the researchers said.

The system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. The research is published in the journal Digital Discovery.

Digital lab for data- and robot-driven materials science The dLab fully automates processes from material synthesis to analysis Date: May 14, 2025 Source: University of Tokyo Summary: Researchers ...

The research systematically analyzes the transition from data-intensive science to the robot scientist paradigm, outlining the evolution of every stage in the scientific process, including ...

May 14, 2025 Team develops digital lab for data- and robot-driven materials science The digital laboratory (dLab) system fully automates the material synthesis and structural, physical property ...

Data Science is an interdisciplinary undergraduate program at SFU involving coursework in four different areas: Statistics, Computing Science, Mathematics, and Business. The program was designed in ...

Origin of the word "robot"': The 1920 play "Rossum's Universal Robots," by Karel Čapek The first robot: Unimate, created in 1954 by American George Devol The largest humanoid robot: Mononofu, a ...