Robohub.org
 

GLXP Update: Penn State Lunar Lions now in #3 spot


by
07 January 2014



share this:

Google_Lunar_X_PrizeWhat are they putting in the water in the Keystone state?  It turns out that Penn State Lunar Lions team announced plans to get launched to the moon as well.  They have made a deposit for a ride in the fourth quarter of 2015 through Team Phoenicia LLC.

The Lunar Lions from Penn State are the only university team that is competing.  Astrobotic is a spin out from Carnegie Mellon, just a few hours down the road from State College in Pittsburgh.

The story of the Lunar Lions ride is actually quite interesting and shows how the Google Lunar X Prize is making humanity’s future in space a reality.  Team Phoenicia was originally a GLXP competitor.  However, in looking around at launch services, the team discovered that there was excess rocket payload capacity that was hard to purchase: surplus capacity on flights scheduled for other customers.

Team Phoenicia dropped out of the GLXP and now runs a business breaking up the payload capacity of rockets. Since the Lunar Lions don’t need all the spare payload capacity, some is going to be sold to other customers who want a ride to orbit.  Some of this capacity will be to low Earth orbit, but at least two cubesats will also make the ride to lunar orbit.

When the GLXP says we are going back to the moon for good they are serious.  We are going back with an armada!

Here is the new GLXP leader board:

GLXP-Leader-Board2

 

Though I’m a bit late in reporting this, I believe that the leader board above now accurately reflects the launch dates that have been announced as of the end of 2013. Once again, please note that the the leader board does not yet take into account the certainty of the launch date or the likelihood of a team succeeding.

More team disclosures would give us a better picture of how things are heating up!

 



tags: , ,


Robert Morris is founder and CEO of the aerial imaging start-up TerrAvion. He is also the author of the blog robocosmist.com
Robert Morris is founder and CEO of the aerial imaging start-up TerrAvion. He is also the author of the blog robocosmist.com

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Congratulations to the #AAMAS2026 best paper award winners

  08 Jun 2026
Find out who won in the categories of best paper, best student paper, and best blue sky paper.

Robot Talk Episode 159 – Robot sensing and manipulation, with Maria Koskinopoulou

  05 Jun 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Maria Koskinopoulou from Heriot-Watt University about autonomous robotic manipulators for surgery, industry, and beyond.

Global robotics technology roadmap

  03 Jun 2026
A multi-regional, cross-domain strategic perspective for Europe, Asia, and the United States.

RoboChem Flex: democratisation of the autonomous synthesis robot

  02 Jun 2026
A versatile, modular design and the option for "human-in-the-loop" analytics.

Robot Talk Episode 158 – Autonomous robot deliveries, with Ahti Heinla

  29 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Ahti Heinla from Starship Technologies about their AI-powered delivery robots that operate independently on streets and pavements.

Light-activated gel could impact wearables, soft robotics, and more

  28 May 2026
In the field of ionotronics, data are transferred through ions, potentially providing a bridge between electronics and biological tissue.

Handle with care: Soft robot gripper picks ripe fruit without bruising

  27 May 2026
Stretchable fiber-optic sensors used to create a soft robot gripper.

Robot Talk Episode 157 – Generating new robot designs, with Josie Hughes

  22 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Josie Hughes from École Polytechnique Fédérale de Lausanne about using AI to develop new designs for robotic manipulators.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence