Robohub.org
 

euRathlon and the DARPA Robot Challenge: A difference of approach


by
22 July 2013



share this:

A week ago the DARPA Robotics Challenge unveiled the ATLAS humanoid robot, which will be used by seven competing teams. Developed by Boston Dynamics, ATLAS is an imposing 1.8m 150Kg bipedal humanoid robot, powered via a tethered cable. Another six teams have designed their own robots, and interestingly five of these are humanoid, and one a four-limbed simian-inspired robot.

In the euRathlon project we are taking a different approach in that we don’t expect, or require, the competing robots to be humanoid or zoomorphic. None of the euRathlon competition scenarios demand a humanoid robot to, for example, be able to step inside a vehicle and drive it. However, for the land robots at least, there is nothing stopping euRathlon teams from bringing humanoid robots to the competition.

 

As I wrote when we launched euRathlon early this year, the big vision of euRathlon is a competition scenario in which no single type of robot is, on its own, sufficient. Inspired by the Fukushima accident of March 2011, the 2015 euRathlon competition will require teams of land, sea and flying robots to autonomously cooperate, survey the scene, identify critical hazards and undertake tasks to make the plant safe. Leading up to this grand challenge in 2015, will be related and preparatory land and underwater robot competitions in 2013 and 2014, respectively.

eurathlon_logo

The difference of our approach is not the result of an in-principle decision. Rather, it flows naturally from several factors. First, we are specifically creating competition scenarios that require cooperating teams across the three domains of land, sea and air. Second, we are looking for very high levels of autonomy, so the robot teams will, ideally, complete their mission with hands-off human monitoring only. Any human interventions will be penalised in the euRathlon scoring schema. And third, we are not looking to push innovation in the robot platforms themselves, but rather in their cognition, autonomy and system level team working. Thus, euRathlon teams who make use of existing and proven robot hardware will gain a big advantage in that they can focus all of their efforts on the software, communications and systems engineering; the AI and the autonomy. And by autonomy we mean both control and energy autonomy. The euRathlon competition scenarios preclude the use of tethered power connections, so robots must carry their own energy supplies sufficient to last the whole mission.

For these reasons the euRathlon robots are likely to look rather conventional: wheeled or tracked land robots; fixed or rotary wing (i.e. quadcopter) flying robots, and ROV-type underwater robots. Not as dramatic as the DARPA robot challenge humanoid or animal-like robots perhaps, but looks can be deceptive: the real innovation in the euRathlon robots will be in the autonomous cooperation across the three domains. Something that has not been demonstrated in realistic outdoor disaster response scenarios.

Of course there is nothing to stop euRathlon teams from using a bio-mimetic approach, so fish-like underwater robot cooperate with bird-like flying robots, and legged animal-like land robots. That really would be something!

Related blog posts:
euRathlon is go! (Feb 2013)
Real-world robotics reality check (May 2010)
A truly Grand Challenge (August 2007)



tags: , , , , , , , ,


Alan Winfield is Professor in robotics at UWE Bristol. He communicates about science on his personal blog.
Alan Winfield is Professor in robotics at UWE Bristol. He communicates about science on his personal blog.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

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.

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.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence