Robohub.org
 

Virtual race: Competing in Brain Computer Interface at Cybathlon


by
05 October 2016



share this:
_img5870_resized

This week the world’s first Cybathlon will take place in Zurich, Switzerland. Cybathlon is the brainchild of NCCR Robotics co-director and ETH Zurich professor Robert Riener, and is designed to facilitate discussion between academics, industry and end users of assistive aids, to promote the position of people with disabilities within society and to push development of assistive technology towards solutions that are suitable for use all-day, every day.

In our privileged position as presenting sponsor we are also proud to have NCCR Robotics represented by two teams: In the Brain Computer Interface (BCI) race, by the team EPFL Brain Tweakers, and in the Powered Arm Prosthesis Race, by the team LeMano.

The BCI race is a virtual race, whereby the pilots use BCIs to control an avatar running through a computer game – the pilots may only use their thoughts as no other commands (e.g. head movements) will affect the actions of the avatar. As the Brain Tweakers are a team of researchers representing the Chair in Brain-Machine Interface (CNBI) laboratory led by Prof. José del R. Millán at the Swiss Federal Institute of Technology (EPFL), Lausanne and NCCR Robotics, they jumped at the chance to participate in this race, which plays to their experience and expertise. Indeed, the focus of their research is on the direct use of human brain signals to control devices and interact with the environment around the user.

_img5902_resizedAt Cybathlon, the Brain Tweakers will race with two pilots, 30-year-old Numa Poujouly and 48-year-old Eric Anselmo, both of whom have been practicing over the summer during weekly and bi-weekly two hour sessions. The BCI system that they will use translates brain patterns, as captured in real-time by Electroencephalography (EEG, a completely safe, non-invasive and minimally obtrusive approach), into game commands.

_img5938_resizedThis is possible by means of what is called a Motor Imagery (MI) BCI. EEG signals (i.e., electrical activity on the user’s scalp, which occurs naturally in everyone as part of the process of using one’s brain), which are monitored through 16 electrodes placed in specific locations on the pilot’s head. Distinct spatio-spectral cortical patterns (patterns of brainwaves) are known to emerge and persist when someone either makes or thinks about making a movement (i.e., movements of the hands, arms and/or feet). It is this pattern of brainwaves when a person imagines making a movement that makes this technology usable by and attractive to people with severe disabilities. These cortical patterns are not only specific to which limb is being thought about, but also tend to be fairly user-specific. Therefore the first of the objectives of the sessions that the team have been using to train this summer have been to identify the MI tasks that are “optimal” (i.e., more easily distinguishable) for each of the two pilots. These then feed into a set of processing modules, consisting of signal processing and machine learning algorithms, that allow the online, real-time detection of the type of movement being executed. The latter is straightforwardly translated into a predetermined command to the pilot’s avatar in the game (speed-up, roll, slide).

_img5927_resizedWhile BCI technology is not in and of its self very new, what the Brain Tweakers hope will give them the winning edge is this introduction of machine learning techniques. For the Brain Tweakers, the Cybathlon provides an excellent opportunity for their team to rapidly advance and test their research outcomes in real-world conditions, exchange expertise and foster collaborations with other groups, as well as to push BCI technology out of the lab to provide practical daily service for end-users in their homes.

Attend the Cybathlon in person or watch along live on the Cybathlon website to cheer along for the Brain Tweakers.


If you liked this article, you may also want to read:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: ,


NCCR Robotics

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Table tennis robot defeats some of world’s best players – why this has major implications for robotics

  18 May 2026
Ace, from Sony AI, is the first robot to beat elite human players in competitive physical sport.

Robot Talk Episode 156 – Rugged robots for dangerous missions, with Gavin Kenneally

  15 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Gavin Kenneally from Ghost Robotics about robot dogs for defence, security, and public safety.

Developing active and flexible microrobots

  13 May 2026
This class of robots opens up possibilities for biomedical applications.

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence