Have you ever dreamed of flying? The Symbiotic Drone Activity is a project that aims to give you the sensation of flying while controlling a real drone. The goal of… Read more
Open Source Robotics
NCCR Robotics publishes open source software and datasets, please see below for a list and links to where they can be downloaded. Robogen RoboGen™ is an open source platform… Read more
W.A. de Vigier Prize for NCCR Robotics spin-off
On Wednesday, five Swiss start-ups received the W.A. de Vigier Award, which comes with prize money of 100,000 Swiss francs each. MyoSwiss, an NCCR Robotics spin-off, was one of them. More info here.
MyoSwiss met W. A. de Vigier’s innovation and personality criteria
The jury of the W. A. De Vigier has revealed the top 10 candidates to proceed to the final stage of the competition. Besides their innovative products, this year’s selection laid emphasis on the CEOs’s personality. Five winners will be announced and each awarded CHF100’000. From over 220 submitted projects, the jury picked the Top …
Continue reading “MyoSwiss met W. A. de Vigier’s innovation and personality criteria”
Feedback enhances brainwave control of a novel hand-exoskeleton
EPFL scientists are developing a lightweight and portable hand exoskeleton that can be controlled with brainwaves. The device enhances performance of brain-machine interfaces and can restore functional grasps for the physically impaired. An extremely lightweight and portable hand exoskeleton may one day help the physically impaired with daily living. These are the hopes of EPFL …
Continue reading “Feedback enhances brainwave control of a novel hand-exoskeleton”
Three NCCR Robotics Spin Offs selected in the IMD Start-up Competition 2017/2018
Feeltronix, Fotokite and TWIICE have been selected in this competition. For more info, visit IMD webpage. The Feeltronix breakthrough technology platform stretches the mechanical limits of electronics and provides solutions for robust and ultra-compliant rubber-based systems. Applications include smart bands for the next generation of wearables in sports, healthcare, AR/VR and fashion. feeltronix.com Fotokite is a spin-off from ETHZürich’s Flying Machine Arena with patented technology that fundamentally solves …
Continue reading “Three NCCR Robotics Spin Offs selected in the IMD Start-up Competition 2017/2018”
Feedback enhances brainwave control of a novel hand-exoskeleton
Posted on: January 24, 2018
Silke Pan, revoir la lumière
Publication date: May 9, 2018
Published in: Le Temps
Exosquelette : piloter un drone avec son corps, c’est possible
Publication date: April 20, 2018
Published in: Futura Tech
FlyJacket Lets You Control a Drone With Your Body
Publication date: April 17, 2018
Published in: IEEE Spectrum
Nouvel espoir pour les paraplégiques
Publication date: March 20, 2018
Published in: CQFD - RTS
Brain-controlled robotic hand enhanced by sensory feedback
Publication date: January 30, 2018
Published in: Reuters
Contrôler un exosquelette de la main par la pensée
Publication date: January 24, 2018
Published in: 24 Heures
EPFL: un exosquelette de la main contrôlé par la pensée
Publication date: January 23, 2018
Published in: swissinfo.ch
Die Hose der Zukunft
Publication date: December 19, 2017
Published in: SRF
Les robots étaient à l’honneur au Swiss Tech Convention Center
Publication date: November 3, 2017
Published in: L'Agefi
Prof. Dario Floreano NCCR Director & Professor Laboratory of Intelligent Systems (LIS) and Management Team, EPFL dario.floreano@epfl.ch +41 21 693 52 30
Prof. Robert Riener NCCR Co-Director & Professor Management Team and Sensory-Motor Systems Lab (SMS), ETH Zurich riener@hest.ethz.ch +41 44 632 66 79
Carine Rognon Doctoral Student Laboratory of Intelligent Systems (LIS), EPFL carine.rognon@epfl.ch +41 21 693 73 54
Stefan Schrade Doctoral Student Rehabilitation Engineering Laboratory (RELab), ETH Zurich stefan.schrade@hest.ethz.ch +41 44 510 72 31
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A Brain-Controlled Exoskeleton with Cascaded Event-Related Desynchronization Classifiers
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This paper describes a brain-machine interface for the online control of a powered lower-limb exoskeleton based on electroencephalogram (EEG) signals recorded over the user’s sensorimotor cortical areas. We train a binary decoder that can distinguish two different mental states, which is applied in a cascaded manner to efficiently control the exoskeleton in three different directions: walk front, turn left and turn right. This is realized by first classifying the user’s intention to walk front or change the direction. If the user decides to change the direction, a subsequent classification is performed to decide turn left or right. The user’s mental command is conditionally executed considering the possibility of obstacle collision. All five subjects were able to successfully complete the 3-way navigation task using brain signals while mounted in the exoskeleton. We observed on average 10.2% decrease in overall task completion time compared to the baseline protocol.
Posted on: August 31, 2016
Biomechanical effects of passive hip springs during walking
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Posted on: November 8, 2019