Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...
IEEE

Performance-Constrained Adaptive Sliding Mode Control for Guaranteed Soft Landing Using Optic Flow

Abstract: This article proposes a scale-independent adaptive control strategy that allows a quadrotor to rely solely on optic flow output to achieve a soft vertical landing on stationary surfaces.