Publications associées à Kinematics Estimation and Loosening Detection in Smart Knee Prostheses

Publications associées (14)

Closed-Loop Control and Disturbance Mitigation of an Underwater Multi-Segment Continuum Manipulator

The use of soft and compliant manipulators in marine environments represents a promising paradigm shift for subsea inspection, with devices better suited to tasks owing to their ability to safely conform to items during contact. However, limitations driven ...

Institute of Electrical and Electronics Engineers Inc.2025

On the Perspectives of Image-to-Lidar Constraints in Dynamic Network Optimisation

Thibaut Stoltz, Jan Skaloud, Davide Antonio Cucci, Laurent Valentin Jospin, Kyriaki Mouzakidou

The evolution of airborne mapping witnesses the introduction of hybrid lidar-camera systems to enhance data collection, i.e. to obtain simultaneously high-density point-cloud and texture. Yet, the common adjustment of both optical data streams is a nontriv ...

International Society for Photogrammetry and Remote Sensing2025

Data-Driven LPV Control for Harmonic Disturbance Rejection in a Hybrid Isolation Platform

Alireza Karimi

A novel approach for linear parameter-varying (LPV) controller synthesis for adaptive rejection of frequency-varying sinusoidal disturbances is proposed. Only the frequency response data of a linear time-invariant (LTI) multiple-input-multiple-output (MIMO ...

2025

Data-Driven Methods for Controller Design in Atomic Force Microscopy

Navid Asmari Saadabad

Ever since the advent of Atomic Force Microscope (AFM) the community of its users is expanding which led to a broad spectrum of applications. Most of these applications require AFM instruments with fast, accurate, and reliable performance. The sensors and ...

EPFL2024

Online Feedback Optimization over Networks: A Distributed Model-free Approach

Wenbin Wang

Online feedback optimization (OFO) enables optimal steady-state operations of a physical system by employing an iterative optimization algorithm as a dynamic feedback controller. When the plant consists of several interconnected subsystems, centralized imp ...

IEEE2024

Laser-based manufacturing of freeform glass micro-optics through topological transformation

Samuel Youcef Benketaf

Glass has been the material of choice for making optical elements, in large part due to its intrinsic properties: a temperature-dependent viscosity, which enables shaping the material into a broad variety of functional and artistic glassware. Silica glass ...

EPFL2024

Identification and Integration of Aerodynamics into Fixed-Wing Drone Navigation

Aman Sharma

Autonomous navigation of drones in environments with intermittently poor reception of Global Navigation Satellite System (GNSS)-observables remains a complex problem when using small, low-cost inertial sensors. Conventional kinematic frameworks, fusing Ine ...

EPFL2024

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani

. All rights reserved.Background: Wrist-worn inertial sensors are used in digital health for evaluating mobility in real-world environments. Preceding the estimation of spatiotemporal gait parameters within long-term recordings, gait detection is an import ...

2024

Model-Based Fusion of GNSS and Multiple-IMUs

Jan Skaloud, Aman Sharma

Autonomous navigation of drones in environments with intermittently poor GNSS reception remains a complex problem with small and lightweight sensors. Conventional kinematic frameworks, fusing inertial sensors with satellite positioning, often falter under ...

IEEE2024

Overview of the TCV tokamak experimental programme

Olivier Sauter, Ambrogio Fasoli, Basil Duval, Henri Weisen, Timothy Goodman, Yves Martin, Stefano Alberti, Duccio Testa, Jean-Marc Moret, Ivo Furno, Patrick Blanchard, Benoît Labit, Jan Horacek, Paolo Ricci, Jean-Philippe Hogge, Jonathan Graves, Stephan Brunner, Holger Reimerdes, Laurie Porte, Christian Gabriel Theiler, Federico Alberto Alfredo Felici, Alexander Karpushov, Joaquim Loizu Cisquella, Antoine Pierre Emmanuel Alexis Merle, Umar Sheikh, Xavier Llobet, Matteo Fontana, Simon Van Mulders, Alessandro Pau, Yanis Andrebe, Cristian Galperti, Joan Decker, Marcelo Baquero Ruiz, Cedric Kar-Wai Tsui, Mengdi Kong, Matteo Vallar, Olivier Claude Martin Février, Davide Galassi, Guang-Yu Sun, Pedro Andres Molina Cabrera, Filippo Bagnato, Roberto Maurizio, Oulfa Chellaï, Mirko Wensing, Claudia Colandrea, Curdin Tobias Wüthrich, Sophie Danielle Angelica Gorno, Francesco Carpanese, Nicola Offeddu, Aylwin Iantchenko, Maurizio Giacomin, Lorenzo Martinelli, Oleg Krutkin, Dahye Choi, Federico Pesamosca, Hugo Antoine Georges Arnichand, Dmytry Mykytchuk, Benjamin Alexandre Vincent, Umesh Kumar, Arsène Stéphane Tema Biwole, Lorenzo Stipani, Anna Ngoc Minh Trang Vu, Jean Arthur Cazabonne, Stefano Marchioni, Miguel Filipe Silva Füglister, Renat Karimov, Ajay Chandrarajan Jayalekshmi

The tokamak a configuration variable (TCV) continues to leverage its unique shaping capabilities, flexible heating systems and modern control system to address critical issues in preparation for ITER and a fusion power plant. For the 2019-20 campaign its c ...

IOP Publishing Ltd2022

Application of UV absorbance and electron-donating capacity as surrogates for micropollutant abatement during full-scale ozonation of secondary-treated wastewater

Urs von Gunten

Ozonation of secondary-treated wastewater for the abatement of micropollutants requires a reliable control of ozone doses. Changes in the UV absorbance of dissolved organic matter (DOM) during ozonation allow to estimate micropollutant abatement on-line an ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Multiobjective Vector Modulation for Improved Control of NPC-Based Multi-Source Inverters in Hybrid Traction Systems

Andrea Cervone

The concept of a multi-source inverter (MSI) based on NPC topology was recently introduced for hybrid-electric powertrains to connect several dc sources to the traction load in a single conversion stage without magnetics. This work proposes a new modulatio ...

2022

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

Michel Bierlaire, Virginie Janine Camille Lurkin, Timothy Michael Hillel, Gael Lederrey

The emergence of Big Data has enabled new research perspectives in the discrete choice community. While the techniques to estimate Machine Learning models on a massive amount of data are well established, these have not yet been fully explored for the esti ...

2021

Assisted specification of discrete choice models

Michel Bierlaire, Timothy Michael Hillel, Nicola Marco Ortelli

Determining appropriate utility specifications for discrete choice models is time-consuming and prone to errors. With the availability of larger and larger datasets, as the number of possible specifications exponentially grows with the number of variables ...

ELSEVIER SCI LTD2021