Publication

2-DOF fMRI-Compatible Haptic Interface for Bimanual Motor Tasks with Grip/Load Force Measurement

Related publications (44)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Dexterous grasping under shape uncertainty

Aude Billard, Miao Li

An important challenge in robotics is to achieve robust performance in object grasping and manipulation, dealing with noise and uncertainty. This paper presents an approach for addressing the performance of dexterous grasping under shape uncertainty. In ou ...

Elsevier2016

Concept of a soft exosuit for the support of leg function in rehabilitation

In the past couple of years, the concept of exosuits has emerged. These soft, robotic devices are primarily made of textiles and can be worn like clothes. They assist the user during specific motions by transmitting forces around the human joints making us ...

IEEE2015

Decentralized multi-robot coordination in crowded workspaces

Laleh Makarem

The coordination of multi-robot systems is becoming one of the most important areas of research in robotics, mostly because it is required by numerous complex applications. These applications range from intelligent transportation systems, search and rescue ...

EPFL2015

A Robotic System for Quantitative Assessment and Poststroke Training of Forelimb Retraction in Mice

Silvestro Micera, Stefano Lai, Marco Mainardi

Background. Neurorehabilitation protocols based on the use of robotic devices have recently shown to provide promising clinical results. However, their efficacy is still limited because of the poor comprehension of the mechanisms at the basis of functional ...

Sage Publications Inc2014

Walking and Running with StarlETH

Roland Siegwart, Marco Hutter

This paper presents the latest advances we made in static and dynamic locomotion with our compliant quadrupedal robot StarlETH. It summarizes the robot design and outlines the different underlying control principles used to achieve sophisticated locomotion ...

2013

Synergy-level Grasp Synthesis Learning

Aude Billard, Sahar El Khoury, Miao Li

Autonomous grasping is a complex task for robots. It is a high dimensional problem since it involves controlling for the hand position, orientation and joint angles to successfully grasp an object. In order to reduce the control complexity, we adopt a 3-st ...

2013

A bidirectional shape memory alloy folding actuator

Jamie Paik

This paper presents a low-profile bidirectional folding actuator based on annealed shape memory alloy sheets applicable for meso-and microscale systems. Despite the advantages of shape memory alloys-high strain, silent operation, and mechanical simplicity- ...

2012

Online learning and adaptation of patient support during ADL training

Neurological patients with impaired upper limbs often receive arm therapy to restore or relearn lost motor functions. During the last years robotic devices were developed to assist the patient during the training. In daily life the diversity of movements i ...

2011

Application of ultrasonic motors to MR-compatible haptic interfaces

Dominique Chapuis

Functional Magnetic Resonance Imagery (fMRI) is an imaging technique allowing the observation of brain activity. Haptic interfaces can be used in conjunction with fMRI to stimulate the subject while measuring brain activity. Using robotic stimulation over ...

EPFL2009

An Exploration of Online Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli, James Pugh

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques which allow robots to evolve their own controllers online in an automated fashion. In mult ...

Springer2008