Robohub.org
 

euRathlon 2013 land robotics competition – Day Four recap


by
29 September 2013



share this:

Eurathlon2013_Day4

The autonomous robot MuCAR-3 from team MuCAR (University of the Bundeswehr Munich) arrives. Photo credits: Aaron Boardley.

Clouds, mist and rain accompanied the fourth day of euRathlon 2013 civilian outdoor robotics competition. Thursday was the day when the “Autonomous Navigation” scenario took place in an area of the Kehlstein mountain (1.834 m), located in the Berchtesgaden Alps. Unfortunately teams and robots had to deal with heavy rain. Despite of the poor weather conditions, which are part of a real world scenario, many robots successfully finished two of the three levels of autonomous navigation.
Watch the Day Four recap video …

The 4th Scenario: Autonomous navigation
The “Autonomous navigation” scenario took place in the breathtaking landscape of the Berchtesgaden Alps. The robots had to autonomously navigate an Alpine trail on the Kehlstein mountain. The trail had three levels of difficulty. At the end of the first and second levels, there was a sign that the robot could detect and choose whether or not to continue to the next level. The first-level terrain was gravel and the path was slightly inclined, while the second level had the same type of gravel terrain, but the path was steeper and was scattered with medium-size tree branches. The third-level path was narrow and steep with rocky terrain.

The competing robots had 45 minutes to reach the end of the third level or, if they decided not to traverse that very difficult path, reach the first or second level and come back.

Spectators followed the slower-moving robots as they performed this task, and watched a recording of the faster-moving ones on a big screen once they returned to the starting point.

Despite the poor weather conditions, many robots successfully reached the end of level two. All the robots were fully autonomous and not tele-operated. However, each had a system that allowed the robot operator, who was following the robot next to the judge, to take control of the robot if needed, for example, if the robot was lost, got stuck, or could not navigate. Some robots required human intervention as they performed the task, and were consequently penalized. However, all teams did well bearing in mind the poor weather and the completely unknown terrain.

Of the seven teams initially signed up for this scenario, two withdrew before the competition and the rest qualified for the final. These five teams were: MuCar, ARTOR, RIS, FKIE and NAMT.

In tomorrow’s post, the winners of euRathlon 2013 will be unveiled. Don’t miss it!

See all the euRathlon 2013 coverage.



tags: , , ,


Marta Palau Franco is an electronics engineer, oceanographer and project officer at euRobotics aisbl.
Marta Palau Franco is an electronics engineer, oceanographer and project officer at euRobotics aisbl.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

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.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?

Robot Talk Episode 153 – Origami-inspired robots, with Chenying Liu

  24 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Chenying Liu from University of Oxford about how a robot's physical form can actively contribute to sensing, processing, decision-making, and movement.

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

AI system learns to keep warehouse robot traffic running smoothly

  20 Apr 2026
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

Robot Talk Episode 152 – Dexterous robot hands, with Rich Walker

  17 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rich Walker from Shadow Robot Company about their advanced robotic hands for research and industry.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

and   14 Apr 2026
Ross King created the first robot scientist back in 2009. He spoke to us about the nature of scientific discovery, the role AI has to play, and his recent work in DNA computing.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence