Autonomous Search for Grinding Conditions using Robots and Bayesian Optimization

Yuto Yotsumoto, YusakuNakajima, Kanta Ono

Published: 15 Mar 2026, Last Modified: 22 Apr 2026AI4X-AC 2026 PosterEveryoneRevisionsBibTeXCC BY 4.0
Submission Type: I want my submission to be considered for poster only
Keywords: self-driving labs, Bayesian optimization, robotic automation, grinding process, particle size distribution, materials science, laboratory automation
TL;DR: A robotic system with force-feedback control and Bayesian optimization autonomously searches for grinding conditions to achieve target particle size distributions.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 190