3 papers
cs.RO2026
Optimal Control of Microswimmers for Trajectory Tracking Using Bayesian Optimization
Lucas Palazzolo, Mickaël Binois, Laëtitia Giraldi
Trajectory tracking for microswimmers remains a key challenge in microrobotics, where low-Reynolds-number dynamics make control design particularly complex. In this work, we formul…
math.OC2025
Non-Locally Controllable but Trackable Magnetic Head Flagellated Swimmer
Lucas Palazzolo, Mickaël Binois, Laëtitia Giraldi
Unlike macroscopic swimmers, microswimmers operate in a low-Reynolds-number regime dominated by viscous forces. This paper investigates the controllability of a magnetic microswimm…
math.OC2025
Parametric Shape Optimization of Flagellated Micro-Swimmers Using Bayesian Techniques
Lucas Palazzolo, Laëtitia Giraldi, Mickael Binois +1
Understanding and optimizing the design of helical micro-swimmers is crucial for advancing their application in various fields. This study presents an innovative approach combining…