Robohub.org
 

Curiosity’s Martian anniversary selfie is a sign of the times


by and
26 June 2014



share this:
Curiosity-Self-Portrait-at-'Windjana'-Drilling-Site
NASA’s Mars Curiosity Rover captures a selfie to mark a full Martian year – 687 Earth days – spent exploring the Red Planet. Image Credit: NASA/JPL-Caltech/MSSS

Robots, selfies and remote connectedness … It may be a lonely place to celebrate an anniversary, but on June 24th, Curiosity made the universe that much smaller – and robots that much more ubiquitous – by snapping a selfie to mark its one year anniversary on planet Mars. This photo will surely go down in history as a sign of the times.

To help celebrate Curiosity’s achievements, we’ve compiled a brief list of links, articles and videos that show just how far the Mars mission has come.

 

NASA press release reviews the first Martian year and the advances of MSL’s very succesful mission so far.

You can access all the photos (in RAW format also) from JPL’s dedicated MSL website as well as read NASA’s Curiosity webpage.

We covered Curiosity’s mission since its launch on November 2011 up until now, you can access all our articles here:

Robohub – MSL Curiosity articles

PS. Something a little more fun, in the tumblr blog named Martian Wiggles you can find a compilation of animated gifs made from the raw images provided by JPL like the following showing images from Left Navcam, during Sol 283:

 

If you liked this article, you may also be interested in:

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

 



tags: , , , ,


Hallie Siegel robotics editor-at-large
Hallie Siegel robotics editor-at-large

Ioannis K. Erripis joined the ROBOTS association in early 2011 as a news reporter and now leads all technical aspects of the Robohub project, including website design, implementation and branding.
Ioannis K. Erripis joined the ROBOTS association in early 2011 as a news reporter and now leads all technical aspects of the Robohub project, including website design, implementation and branding.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

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.

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.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence