Big Data. Big Decisions
InformationWeek
Special Coverage Series


Curiosity Rolls Ahead On Mars Following Software Upgrade

NASA engineers upgrade software on Curiosity to let six-wheeled vehicle cruise longer distances on surface of Mars and make use of robotic arm.

NASA Curiosity Visual Tour: Mars, Revealed
NASA Curiosity Visual Tour: Mars, Revealed
(click image for larger view and for slideshow)
NASA's Curiosity rover made its fourth trek on Aug. 30, a short 70-foot drive on its way to a destination on Mars where it will conduct science experiments using its drill and other instruments.

Curiosity landed on Mars on Aug. 5 (Pacific time), and the six-wheeled vehicle was made ready to roll after NASA engineers upgraded its on-board flight software with a new version, release 10, that's optimized for traveling long distances and making use of Curiosity's robotic arm. Curiosity's R9 software, the ninth full upgrade since the program's inception, was oriented to flight and landing control.

"While on cruise to Mars, we updated the software in June, and we updated the surface software right when it landed," said Benjamin Cichy, chief software engineer for the Curiosity rover at NASA's Jet Propulsion Laboratory in California.

Written on Linux-based workstations, Curiosity' software runs on Wind River's VxWorks real-time operating system. The primary development environment is the Wind River Workbench. Software upgrades are beamed up to the rover through a series of signals sent from giant antennas in California, Spain, and Australia to orbiters circling Mars and then to the vehicle itself.

[ Learn more about the mission. Read Curiosity Lands On Mars: 10 Amazing Facts. ]

R9 optimized the vehicle for landing, including the so-called "seven minutes of terror" when it plummeted through Mars' atmosphere. During that phase, the software executed some 300 autonomous actions, including firing 76 pyrotechnic devices that caused the vehicle to transition through 6 different configurations (cruise, entry, parachute, powered descent, sky crane, and rover). In addition to the pyrotechnic devices, the software managed eight descent thrusters and eight landing engines.

Curiosity's software allows NASA engineers to adapt the vehicle to the situation at hand, a requirement when exploring Mars' unknown terrain. "We're constantly looking at how the rover is performing," Cichy said. "When we landed on Mars, we didn't know what the surface was going to be like."

The R10 software "really unlocks the remaining potential" of the vehicle, Cichy said. The upgrade's capabilities help control the Rover's robotic arm, drill, and the rest of the system the enables the rover to collect and analyze rock samples in its on-board laboratories. While R9 included the basic capability to move the rover, R10 allows it to drive long distances.

The MSL team is working on R11, which should be complete in the next three months. That version will bring improvements to how the rover maneuvers and uses its tools. "With R11, it will really be able to upgrade to some advanced driving," Cichy said.

Navid Dehghani, ground systems manager at the Jet Propulsion Laboratory, said data management is an ongoing challenge. The MSL team has been transmitting a lot of data via a message bus (similar to the message bus in an enterprise IT environment) and "we have to really worry about how much data we were sending through the bus and tailor our messages so we don't overwhelm the whole system," he said.

The project utilizes a new MySQL-based system to process the large amount of raw and complex data that comes in from Curiosity. Called the Mission Data Processing and Control System (MPCS), it interfaces to NASA's Deep Space Network and processes data from the Mars Reconnaissance Orbiter and other in-orbit systems. MPCS produces a tailored view of the data that is used by other flight operations teams, such as information on the power system.

The mission is slated to last one Mars year, the equivalent to two Earth years. "We're always going to keep learning," Cichy said. "It's an amazing piece of software."



Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.