Robohub.org
 

Schiaparelli, are you there? The high risks of space robotics again crash home


by
20 October 2016



share this:
Image: ESA

Image: ESA/ATG medialab

In Darmstadt, Germany, European Space Agency (ESA) teams are scrambling to confirm contact with the Entry, Descent and Landing Demonstrator Module (EDM), Schiaparelli—the spectre of Philae still haunting the European Space Operations Centre (ESOC). Whether or not ESA ever speak to Schiaparelli again, the risky business of space robotics is once more laid bare.

Editors note: Since this article was written, ESA are attempting to decode a partial signal from the EDM

After Schiaparelli’s release from its mothership—The Trace Gas Orbiter (TGO)—the 577 kg EDM was programmed to autonomously perform an automated landing sequence, with parachute deployment and front heat shield release between 11 and 7 km above the Martian surface, all the time collecting data on the pressure, surface temperature and heat flux on its back cover as it passed through the atmosphere.  Then, 1100 m from the ground, retrorocket braking was supposed to slow the EDM before a final fall from a height of 2 m, protected by a crushable structure. But sometime during this process the signal was lost. ESA_Shiaparelli’s twitter feed soon fell silent also.

If Schiaparelli reached the surface safely, its batteries should be able to support operations for three to ten days, offering multiple opportunities to re-establish a communication link and collect data from its suite of sensors designed to measure wind speed and direction, humidity, pressure, atmospheric temperature, transparency of the atmosphere, and atmospheric electrification. But if contact is never restored, it’ll be a hefty blow to ExoMars and ESA’s aim of testing key technologies in preparation for their contribution to subsequent missions to Mars, including a planned 2020 rover that will carry a drill and a suite of instruments dedicated to exobiology and geochemistry research.

Image: ESA/ATG medialab

Image: ESA/ATG medialab

Such robotic technology has the potential to stretch our cosmological horizon, and perhaps even detect traces of extra-terrestrial life. But there’s a cost.  The ExoMars program runs up a bill totaling €1.3 billion, and such failures (if a failure it be) naturally raise questions of risk versus reward, particularly in tight economic times. Michael Johnson of the Pervasive Media Studio, Bristol, and founder of PocketSpacecraft.com, once told me during an interview: “About 50% of space missions fail after launch.” He shrugged. “That’s life… This is a high risk, high reward activity.”

In no other field of robotics is the potential of catastrophic failure so present and accepted. But how long can this attitude be maintained? The consensual public funding of—and indeed existence of—future space missions is parasitic upon the success of space robots and automated technology, and vice versa. Can you hear us Schiaparelli?

Come in, Schiaparelli.

…?

Image: ESA

Image: ESA/ATG medialab

BUT ALL IS NOT LOST. The difficulties surrounding the mission’s EDM might potentially overshadow the successes of its TGO, which successfully performed the long 139-minute burn required to be captured by Mars, and has entered an elliptical orbit around the Red Planet. TGO’s Mars orbit Insertion burn lasted from 13:05 to 15:24 GMT on 19 October, reducing the spacecraft’s speed and direction by more than 1.5 km/s. The TGO is now on its planned orbit around Mars, primed with a suit of scientific equipment to measure the Martian atmosphere from on high. You win some, you lose some. This 50:50 success rate exemplifies the apparent nature of space robotics.

Click here to keep up to date with the latest ExoMars developments.


If you enjoyed this article, you might also be interested in:

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



tags: , , , , , ,


Alex Kirkpatrick is a passionate writer and science communicator...
Alex Kirkpatrick is a passionate writer and science communicator...

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

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.

Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri

  10 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring.

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence