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Concept

Brownian motion

Related publications (31)

Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion

Sylvain Calinon, Teguh Santoso Lembono

In this paper, we propose a framework to build a memory of motion for warm-starting an optimal control solver for the locomotion task of a humanoid robot. We use HPP Loco3D, a versatile locomotion planner, to generate offline a set of dynamically consisten ...

IEEE2020

Filamentous and step-like behavior of gelling coarse fibrin networks revealed by high-frequency microrheology

László Forró, Sylvia Jeney

By a micro-experimental methodology, we study the ongoing molecular process inside coarse fibrin networks by means of microrheology. We made these networks gelate around a probe microbead, allowing us to observe a temporal evolution compatible with the wel ...

ROYAL SOC CHEMISTRY2020

A Stochastic Conditioning Scheme for Diverse Human Motion Prediction

Mathieu Salzmann

Human motion prediction, the task of predicting future 3D human poses given a sequence of observed ones, has been mostly treated as a deterministic problem. However, human motion is a stochastic process: Given an observed sequence of poses, multiple future ...

IEEE2020

Exceptional graphs for the random walk

Juhan Aru

If W is the simple random walk on the square lattice Z(2), then W induces a random walk W-G on any spanning subgraph G subset of Z(2) of the lattice as follows: viewing W as a uniformly random infinite word on the alphabet {x, -x, y, -y}, the walk W-G star ...

INST MATHEMATICAL STATISTICS2020

Reversible Magnetic Transition in a Bench-Stable Radical Cation Triggered by Structural Transition in the Magnetically Silent Counteranion

Sergio Vela Llausi

Fabrication of bench-stable radical ions under ambient conditions is of utmost significance from the perspective of materials and structural (solid-state) chemistry. Two exceptionally stable benzotriazinyl radical cationic salts of 1-phenyl-3(phenylamino)- ...

2020

Methods and systems for particle characterisation

Sandor Kasas, Anton Malovichko

A method and system for deriving particle characteristics is described. The method comprises imaging the movement of at least one free-floating particle in a liquid environment at at least one moment in time, determining for at least one moment in time a m ...

2020

The sources of sovereign risk: a calibration based on Levy stochastic processes

Sylvain Jean Pascal Carré

Governments choose to issue risky or riskless debt depending on the nature of the stochastic process of output. We use Brownian motion and Poisson shocks a modeling method in the literature on corporate default known as Levy processes to approximate a deco ...

ELSEVIER SCIENCE BV2019

On the Performance of Exact Diffusion over Adaptive Networks

Ali H. Sayed, Bicheng Ying, Kun Yuan, Sulaiman A S A E Alghunaim

Various bias-correction methods such as EXTRA, DIGing, and exact diffusion have been proposed recently to solve distributed deterministic optimization problems. These methods employ constant step-sizes and converge linearly to the exact solution under prop ...

IEEE2019

On Jump-Diffusive Driving Noise Sources: Some Explicit Results and Applications

Max-Olivier Hongler, Roger Filliger

We study some linear and nonlinear shot noise models where the jumps are drawn from a compound Poisson process with jump sizes following an Erlang-m distribution. We show that the associated Master equation can be written as a spatial mth order partial dif ...

Springer2019

Probing Protein Dynamics Using Multifield Variable Temperature NMR Relaxation and Molecular Dynamics Simulation

David Lyndon Emsley, Albert Hofstetter, Nicola Salvi, Jayasubba Reddy Yarava, Baptiste Busi

Understanding the interplay between protein function and dynamics is currently one of the fundamental challenges of physical biology. Recently, a method using variable temperature solid-state nuclear magnetic resonance relaxation measurements has been prop ...

2018

Decoding the Grasping Intention from Electromyography during Reaching Motions

Aude Billard, Iason Batzianoulis

Background: Active upper-limb prostheses are used to restore important hand functionalities, such as grasping. In conventional approaches, a pattern recognition system is trained over a number of static grasping gestures. However, training a classifier in ...

BioMed Central2018