Robohub.org
 

#CYBATHLON2020GlobalEdition winners of the functional electrical stimulation bike race (with interview)


by
19 December 2020



share this:
Winning team pilot Sander Koomen

Winning team pilot Sander Koomen

In continuation to this series of CYBATHLON 2020 winners, today we feature the victory of PULSE Racing from VU University Amsterdam. We also had the chance to interview them (see the end of this post).

In this race, pilots with paraplegia from nine teams competed against each other using a recumbent bicycle that they could pedal with the help of functional electrical stimulation (FES) of their leg muscles. As the organizers of CYBATHLON describe, “FES is a technique that allows paralysed muscles to move again. By placing electrodes on the skin or implanting them, currents are applied to the muscles, making them contract. Thus, a person whose nerves from the brain to the leg muscles are disconnected due to a spinal cord injury (SCI) can use an intelligent control device to initiate a movement, e.g. stepping on a bike pedal. New types of electrodes and an exact control of the currents make it possible to maximise the pedal force with each rotation while avoiding early muscle fatigue.” Pilots had 8 minutes to complete 1200m on their static recumbent bike.

A recumbent bike

Functional electrical stimulation bike race illustration

Five out of the nine teams finished the 1200m race. Therefore, the podium was decided based on finishing time, with pilot Sander Koomen from the winning team PULSE Racing (The Netherlands) completing the distance in 2 minutes and 40 seconds (that’s an average speed of 27km/h). The silver medal went to team ImperialBerkel (UK & The Netherlands) with pilot Johnny Beer, who made a time of 2 minutes and 59 seconds. Finally, team Cleveland (US) with pilot Mark Steven Muhn won the bronze medal with a finishing time of 3 minutes and 13 seconds. You can watch a summary of the top 4 races in the video below.

You can also see the results from the rest of the teams in this discipline here, or watch the recorded livestreams of both days on their website.

Interview to PULSE Racing

Team PULSE Racing

Team PULSE Racing


D. C. Z.: What does it mean for your team to have won in your CYBATHLON category?

P.R.: We saw this as a good reflection of where we stand as a team. The result was unexpected, because sometimes it is hard to see results during training. By winning the Cybathlon, our uncertainties about our developments vanished. The golden medal emphasizes our strength and motivation as a student team. Our dream, winning the Cybathlon on the first attempt, came true. We are thankful that the Cybathlon gave us the opportunity to participate, which helped us to gain publicity.

D. C. Z.: And what does it mean for people with disabilities?

P.R.: It means that with joining our team, people with a disability are able to keep developing their bodies and mind, according to a training scheme. This improves mental well-being and health. Besides that they can still be part of the society, and become more confident.

D. C. Z.: What are still your challenges?

P.R.: In the coming years we want to focus more on the mechanics of the bike, to see if we can make some improvements. And it would be great if this form of exercise is accessible for more people with a spinal cord injury. For that it is important that more people are aware of the possibilities of Functional Electrostimulation (FES).

You can follow team updates on Instragram (#pulse.racingnl) and Facebook/LinkedIN (#pulseracing).



tags: , ,


Daniel Carrillo-Zapata was awared his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of "scientific agitation" to engage in two-way conversations between researchers and society.
Daniel Carrillo-Zapata was awared his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of "scientific agitation" to engage in two-way conversations between researchers and society.





Related posts :



CoRL2025 – RobustDexGrasp: dexterous robot hand grasping of nearly any object

  11 Nov 2025
A new reinforcement learning framework enables dexterous robot hands to grasp diverse objects with human-like robustness and adaptability—using only a single camera.

Robot Talk Episode 132 – Collaborating with industrial robots, with Anthony Jules

  07 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Anthony Jules from Robust.AI about their autonomous warehouse robots that work alongside humans.

Teaching robots to map large environments

  05 Nov 2025
A new approach could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.

Robot Talk Episode 131 – Empowering game-changing robotics research, with Edith-Clare Hall

  31 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Edith-Clare Hall from the Advanced Research and Invention Agency about accelerating scientific and technological breakthroughs.

A flexible lens controlled by light-activated artificial muscles promises to let soft machines see

  30 Oct 2025
Researchers have designed an adaptive lens made of soft, light-responsive, tissue-like materials.

Social media round-up from #IROS2025

  27 Oct 2025
Take a look at what participants got up to at the IEEE/RSJ International Conference on Intelligent Robots and Systems.

Using generative AI to diversify virtual training grounds for robots

  24 Oct 2025
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Robot Talk Episode 130 – Robots learning from humans, with Chad Jenkins

  24 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence