Special Session IN02:

Revolutionary Space Exploration Concepts Using Onboard Computing Thursday, 25th May 2006


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Chien, Castano, and Lorenz Slides from Press conference (Chien PDF) (Castano PDF) (Lorenz PDF)

Important: Media Images - images are displayed smaller - full resolution will download
Images should be acknowledged "Courtesy of NASA" except Lorenz images and those explicitly labelled differently.

Images relating to the Autonomous Sciencecraft on Earth Observing One



Autonomous Sciencecraft Software on EO-1 enables tracking of active volcanic processes worldwide. Currently monitoring scores of volcanoes.

Autonomous Sciencecraft on EO-1 detecting volcanic activity

ASE controls EO-1 to track activity at the Mount Erebus Lava Lake in Antarctica
ASE Images of Mt Erebus

Images relating to the ongoing deployment to Mars Odyssey

Software has been developed to enable onboard prcessing of THEMIS data to detect and track martian phenomena such as thermal anomalies, the growth and retreat of the Martian polar frost cap, dust storms, and water ice clouds.

Images of the Mars Odyssey Spacecraft
THEMIS on Odyssey mapping Mars
One goal is to track the seasonal variations in the edge of the polar frost cap.
Mars Polar Ice Cap The edge of the polar ice cap

Images relating to the ongoing deployment to the Mars Exploration Rovers


Software is in final testing for upload that will enable the MER rovers to track and detect dust devils and clouds. The below image shows the algorithm picking out dust devils in previous imagery. These algorithms enable more efficient tracking of dynamic science phenomena.
Onboard algorithm detects Dust Devils
Int hat same software package software enables detection of clouds - again to improve science campaigns.
MER Image of clouds
Detected clouds
Detections of clouds in MER Image

Images relating to future rover autonomy



Image of future Mars Science Laboratory (MSL) Rover using ChemCam instrument.
Image credit: Image by Jean-Luc Lacour and the ChemCam Team.
MSL using ChemCam Instrument
Images of rovers demonstrating autonomous capabilities in ground testbeds
Rover approaching rock Rover driving in Marsyard at JPL

Images relating to future applications



Autonomy could be used to track dynamic events such as the plume at Enceladus recently dicovered in Cassini imagery.
Enceladus Plume in Cassini Imagery

Such phenomena could also be tracked using thermal imaging techniques.
Enceladus thermal data  in Cassini Imagery

Autonomy could also be used to explore dynamic bodies such as comets - which have dynamic events such as this plume observed by the Deep Impact mission.
Plume from Tempel 1 comet - dynamic science for autonomous exploration
Io, which is volcanically active, also would be a prime target for investigation using onboard autonomy. Such actvitiy has been captured by the Galileo spacecraft.
Galileo Images of active volcanism which could be exlored using autonomous spacecrafte
Such activity could be detected by its plume and this information used to retarget during flybys.
Active Io Volcanism which could be tracked using autonomy
Possible subsurface oceans of the Jovian moon Europa are also of great scientific interest. Exploring such an environment would benefit gretly fromonboard decision-making. Artists depiction of a cryobot exploring such an ocean.
Europa Cryobot Exploring subsurface Oceans in search of life
Space Weather is another dynamic phenomena which could be studies effectively using smart spacecraft. Solar instrumentation could detect phenomena such as Coronal Mass Ejections and other spacecraft such as this depicted Earth Orbiting constellation woould then respond to observe.
Possible Earth Orbiting constellation of space weather satellites
An Aerobot exploring Titan, a moon of Saturn, could use autonomy to detect and track phenomena such as methane thunderstorms, methane geysers, or cryovolcanoes. Round trip light times and limited ability to return data make autonomy useful.
Titan Aerobot, exploring methane thunderstorms, geysers, using autonomy
Missions to Europa could use onboard computing to search for crustal change by tracking the crust boundaries on subsequent orbits - more efficiently using limited downlink bandwidth by searching onboard.
Tracking europan crustal changes using autonomy
Other terrestrial phenomena such as dust storms are ideal for tracking with sensorweb autonomy
Dust Storm in Persian Gulf as seen by MODIS

Images of Titan - See Ralph Lorenz's Web Page. Images of Titan from Ralph Lorez (note different Acknowledgements)