Publications related to Modeling and experimental study of a miniaturized magnetorheological valve with high performance

Related publications (7)

Highly Efficient Miniaturized Magnetorheological Valves Using Electropermanent Magnets

Yves Perriard, Christian Köchli, Adrien Jean-Michel Thabuis, Sofia Lydia Ntella, Bhawnath Tiwari, Kenny Jeanmonod

Fluidic systems enable actuation in various applications, such as automotive, medical, and industrial robotics. Miniaturized valves constitute a fundamental controlling element of modern fluidic systems, intriguing the interest of many researchers. This le ...

2023

Demonstration-guided Optimal Control for Long-term Non-prehensile Planar Manipulation

Sylvain Calinon, Teng Xue

Long-term non-prehensile planar manipulation is a challenging task for robot planning and feedback control. It is characterized by underactuation, hybrid control, and contact uncertainty. One main difficulty is to determine both the continuous and discrete ...

IEEE2023

Energy Efficient Logic and Memory Design With Beyond-CMOS Magnetoelectric Spin-Orbit (MESO) Technology Toward Ultralow Supply Voltage

Kyojin Choo

Devices based on the spin as the fundamental computing unit provide a promising beyond-complementary metal-oxide-semiconductor (CMOS) device option, thanks to their energy efficiency and compatibility with CMOS. One such option is a magnetoelectric spin-or ...

Ieee-Inst Electrical Electronics Engineers Inc2023

Human-Robot Swarm Interaction: An Explorative Path to Foster Complex Systems Understanding

Hala Khodr

Order, regularities, and patterns are ubiquitous around us. A flock of birds maneuvering in the sky, the self-organization of social insects, a global pandemic or a traffic jam are examples of complex systems where the macroscopic patterns arise from the m ...

EPFL2023

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Farzaneh Talebkeikhah, Mohsen Talebkeikhah

This study evaluates and compares several machine learning methods on the effects of different parameters in lead adsorption capacity. pH, contact time, adsorbent dosage and initial lead concentration were considered as inputs and adsorption capacity was r ...

TAYLOR & FRANCIS LTD2022

Prioritization of cell types responsive to biological perturbations in single-cell data with Augur

Grégoire Courtine, Jordan Squair, Matthieu Pierre Gautier, Michael Alexander Skinnider

Advances in single-cell genomics now enable large-scale comparisons of cell states across two or more experimental conditions. Numerous statistical tools are available to identify individual genes, proteins or chromatin regions that differ between conditio ...

NATURE RESEARCH2021

Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials

Aude Billard, José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Iason Batzianoulis, Fumiaki Iwane, Carolina Gaspar Pinto Ramos Correia

Robotic assistance via motorized robotic arm manipulators can be of valuable assistance to individuals with upper-limb motor disabilities. Brain-computer interfaces (BCI) offer an intuitive means to control such assistive robotic manipulators. However, BCI ...

NATURE PORTFOLIO2021