Publications associées à Tendon-Based Transmission for Surgical Robotics: Systematic Experimental Friction Modeling

Filiform Variable Stiffness Technologies for Medical Robotics

In recent years, soft robotics has surged in applications like wearables, drones, smart fabrics, and medical instruments. Due to their compliance, these devices excel in tasks demanding dexterity and adaptability, such as manipulation, locomotion, crash re ...

EPFL2024

Fast-Response Variable-Stiffness Magnetic Catheters for Minimally Invasive Surgery

Dario Floreano, Jun Shintake, Yi Sun, Yegor Piskarev, Matteo Righi

In minimally invasive surgery, such as cardiac ablation, magnetically steered catheters made of variable-stiffness materials can enable higher dexterity and higher force application to human tissue. However, the long transition time between soft and rigid ...

2024

A variable stiffness magnetic catheter made of a conductive shape memory polymer for minimally invasive surgery

Dario Floreano, Jun Shintake, Yegor Piskarev

A hollow variable stiffness thread including a flexible inner tube, a conductive shape memory polymer (CSMP) layer arranged around the inner tube forming a variable stiffness zone, a flexible encapsulation layer arranged around the CSMP layer, and a first ...

2023

Colloidal self-assembly of soft neural interfaces from injectable photovoltaic microdevices

Mahmut Selman Sakar, Murat Kaynak, Zhangjun Huang, Haiyan Jia

Biomimetic retinas with a wide field of view and high resolution are in demand for neuroprosthetics and robot vision. Conventional neural prostheses are manufactured outside the application area and implanted as a complete device using invasive surgery. He ...

2023

Enabling four-arm laparoscopic surgery by controlling two robotic assistants via haptic foot interfaces

Mohamed Bouri, Aude Billard, Walid Amanhoud, Jacob Hernandez Sanchez

Robotic surgery is a promising direction to improve surgeons and assistants’ daily life with respect to conventional surgery. In this work, we propose solo laparoscopic surgery in which two robotic arms, controlled via haptic foot interfaces, assist the ta ...

2023

Comparing transferability in neural network approaches and linear models for machine-learning interaction potentials

Kevin Rossi

Atomic simulations using machine learning interatomic potential (MLIP) have gained a lot of popularity owing to their accuracy in comparison to conventional empirical potentials. However, the transferability of MLIP to systems outside the training set pose ...

AMER PHYSICAL SOC2023

A Variable Stiffness Magnetic Catheter Made of a Conductive Phase-Change Polymer for Minimally Invasive Surgery

Dario Floreano, Jun Shintake, Yegor Piskarev

Variable stiffness (VS) is an important feature that significantly enhances the dexterity of magnetic catheters used in minimally invasive surgeries. Existing magnetic catheters with VS consist of sensors, heaters, and tubular structures filled with low me ...

2022

Development of a Transient Neural Interface for Minimally Invasive Recording and Stimulation

Adele Fanelli

Transient electronics enabling devices to safely disappear in the environment can be applied not only in green electronics, but also in bioelectronic medicine. Neural implants able to degrade harmlessly inside the body eliminate the need for removal surger ...

EPFL2022

Foot-Interfaces Control and Human-Robot Interaction in Four-Handed Manipulation

Jacob Hernandez Sanchez

Humans have a great capacity to perform complex manipulations. However, there are many tasks for which two hands are not enough, such as in surgery. For such tasks, a dyad of people is required. However, when not used to work together, a dyad collaboration ...

EPFL2022

Evaluation of anterior cruciate ligament surgical reconstruction through finite element analysis

Dimitar Yuriev Stanev

Anterior cruciate ligament (ACL) tear is one of the most common knee injuries. The ACL reconstruction surgery aims to restore healthy knee function by replacing the injured ligament with a graft. Proper selection of the optimal surgery parameters is a comp ...

Nature Portfolio2022

Inter-Individual Variability in Motor Output Is Driven by Recruitment Gain in the Corticospinal Tract Rather Than Motor Threshold

Traian Popa

Variability in the response of individuals to various non-invasive brain stimulation protocols is a major problem that limits their potential for clinical applications. Baseline motor-evoked potential (MEP) amplitude is the key predictor of an individual's ...

MDPI2022

Data-Driven Predictive Models: Calculational Bias in Characterization of Spent Nuclear Fuel

Characteristics of the spent nuclear fuel (SNF) are typically calculated, requiring validation a priori. The validation process relies on the difference between calculations and measurements, namely the bias. Usually, predicting the bias based on benchmark ...

EPFL2022

System and method for a microfluidic jet generation from a compact device

Christophe Moser, Jan Krizek

The invention discloses systems and methods for generation of microfluidic jets providing a tool for very precise and localized delivery of e.g., medicaments. The proposed solution overcomes shortcomings related to miniaturization of a jet injection techno ...

2021

Foot Control of a Surgical Laparoscopic Gripper via 5DoF Haptic Robotic Platform: Design, Dynamics and Haptic Shared Control

Mohamed Bouri, Aude Billard, Walid Amanhoud, Jacob Hernandez Sanchez

Foot devices have been ubiquitously used in surgery to control surgical equipment. Most common applications are foot switches for electro-surgery, endoscope positioning and tele-robotic consoles. Switches fall short of providing continuous control as requi ...

2021

In situ photopolymerizable hydrogels for intracranial aneurysms treatment

Oriane Poupart

Intracranial aneurysm is a cerebrovascular disease characterized by an artery dilation in the brain. An aneurysm is prone to rupture, which causes a life-threatening subarachnoid hemorrhage. The major drawbacks of the current treatments, open surgical clip ...

EPFL2021

Compact atomic descriptors enable accurate predictions via linear models

Kevin Rossi

We probe the accuracy of linear ridge regression employing a three-body local density representation derived from the atomic cluster expansion. We benchmark the accuracy of this framework in the prediction of formation energies and atomic forces in molecul ...

AIP Publishing2021

Laser-induced liquid micro-jets for drug delivery

Jan Krizek

Jet injection devices have been studied and developed for transdermal drug delivery to avoid the use of needles. Such contact-less devices provide several advantages such as better dose control, lateral and depth localisation, lower collateral damage than ...

EPFL2021

Discrete-Choice Mining of Social Processes

Victor Kristof

Poor decisions and selfish behaviors give rise to seemingly intractable global problems, such as the lack of transparency in democratic processes, the spread of conspiracy theories, and the rise in greenhouse gas emissions. However, people are more predict ...

EPFL2021

Application of virtual reality in neurosurgery: Patient missing. A systematic review

Bruno Herbelin, Olaf Blanke

Virtual reality (VR) technology had its earliest developments in the 1970s in the U.S. Air Force and has since evolved into a budding area of scientific research with many practical medical purposes. VR shows a high potential to benefit to learners and tra ...

2021

Running Speed Estimation Using Shoe-Worn Inertial Sensors: Direct Integration, Linear, and Personalized Model

Kamiar Aminian, Mathieu Pascal Falbriard, Abolfazl Soltani

The overground speed is a key component of running analysis. Today, most speed estimation wearable systems are based on GNSS technology. However, these devices can suffer from sparse communication with the satellites and have a high-power consumption. In t ...

2021