The future of humans is on Mars. Between SpaceX, Boeing, NASA, and every other national space program, we’re going to Mars. With this comes a problem: flying to Mars is relatively easy, but landing a large payload on the surface of another planet is orders of magnitude more difficult. Mars, in particular, is tricky: it has just enough atmosphere that you need to design around it, but not enough where we can use only parachutes to bring several tons down to the surface. On top of this, we’ll need to land our habitats and Tesla Roadsters inside a very small landing ellipse. Landing on Mars is hard and the brightest minds are working on it.
At this year’s Hackaday Superconference, we learned how hard landing on Mars is from Ara Kourchians (you may know him as [Arko]) and Steve Collins, engineers at the Jet Propulsion Laboratory in beautiful Pasadena. For the last few years, they’ve been working on COBALT, a technology demonstrator on how to use machine vision, fancy IMUs, and a host of sensors to land autonomously on alien worlds. You can check out the video of their Supercon talk below.
Continue reading “Extraterrestrial Autonomous Lander Systems To Touch Down On Mars”
Some people look forward to the day when robots have taken over all our jobs and given us an economy where we can while our days away on leisure activities. But if your idea of play is drone racing, you may be out of luck if this AI pilot for high-speed racing drones has anything to say about it.
NASA’s Jet Propulsion Lab has been working for the past two years to develop the algorithms needed to let high-performance UAVs navigate typical drone racing obstacles, and from the look of the tests in the video below, they’ve made a lot of progress. The system is vision based, with the AI drones equipped with wide-field cameras looking both forward and down. The indoor test course has seemingly random floor tiles scattered around, which we guess provide some kind of waypoints for the drones. A previous video details a little about the architecture, and it seems the drones are doing the computer vision on-board, which we find pretty impressive.
Despite the program being bankrolled by Google, we’re sure no evil will come of this, and that we’ll be in no danger of being chased down by swarms of high-speed flying killbots anytime soon. For now we can take solace in the fact that JPL’s algorithms still can’t beat an elite human pilot like [Ken Loo], who bested the bots overall. But alarmingly, the human did no better than the bots on his first lap, which suggests that once the AI gets a little creativity and intuition like that needed to best a Go champion, [Ken] might need to find another line of work.
Continue reading “High-Speed Drones Use AI To Spoil The Fun”
Google ‘Joan Feynman’ and you can feel the search behemoth consider asking for clarification. Did you mean: Richard Feynman? Image search is even more biased toward Richard. After maybe seven pictures of Joan, there’s an endless scroll of Richard alone, Richard playing the bongos, Richard with Arline, the love of his life.
Yes, Joan was overshadowed by her older brother, but what physicist of the era wasn’t? Richard didn’t do it on purpose. In fact, no one supported Joan’s scientific dreams more than he did, not even their mother. Before Richard ever illuminated the world with his brilliance, he shined a light on his little sister, Joan.
Continue reading “Joan Feynman Found Her Place In The Sun”
Humanity has been a spacefaring species for barely sixty years now. In that brief time, we’ve fairly mastered the business of putting objects into orbit around the Earth, and done so with such gusto that a cloud of both useful and useless objects now surrounds us. Communicating with satellites in Earth orbit is almost trivial; your phone is probably listening to at least half a dozen geosynchronous GPS birds right now, and any ham radio operator can chat with the astronauts aboard the ISS with nothing more that a $30 handy-talkie and a homemade antenna.
But once our spacecraft get much beyond geosynchronous orbit, communications get a little dicier. The inverse square law and the limited power budget available to most interplanetary craft exact a toll on how much RF energy can be sent back home. And yet the science of these missions demands a reliable connection with enough bandwidth to both control the spacecraft and to retrieve its precious cargo of data. That requires a powerful radio network with some mighty big ears, but as we’ll see, NASA isn’t the only one listening to what’s happening out in deep space. Continue reading “Serious DX: The Deep Space Network”
Last week, Hackaday had the chance to tour NASA’s Jet Propulsion Laboratory (JPL) in Pasadena, California. Tours are given all the time at JPL, but ours was special. Steve Collins invited us, and acted as our tour guide, and a new friendship with Michelle Easter got us a look inside the labs where equipment for the 2020 Mars mission is being built.
Continue reading “Extra Curricular Tour Of NASA’s Jet Propulsion Laboratory”
The 2016 Hackaday SuperConference took place last month in sunny Pasadena, California. Also calling Pasadena home is the Jet Propulsion Laboratory, the place where Mars rovers are built, where probes are guided around the solar system, and where awesome space stuff happens.
JPL had a large contingent at the SuperCon and two of them teamed up to present their talk: Charles Dandino and Lucy Du. Lucy is a mechatronics engineer at JPL and already has a little bit of fame from fielding a Battlebot in the last two seasons of ABC’s series. Charles is also in mechatronics, with experience with Curiosity, the Mars 2020 rover, and the (hopefully) upcoming asteroid redirect mission.
In their talk, Charles and Lucy uncovered some of the hacks happening in the background at JPL. There’s a lot of them, and their impact goes much further than you would expect. Everything from remote control cars to keeping spacecraft alive on the other side of the solar system.
Continue reading “Hacking Your Way Through NASA”
NASA has an urgent need for a FORTRAN developer to support the Voyager spacecraft. Popular Mechanics interviewed Voyager program manager [Suzanne Dodd] who is looking to fill [Larry Zottarell’s] shoes when he retires.
We had a lot of people comment on my recent Hackaday article, “This Is Not Your Father’s FORTRAN”, who studied the language at some point. Maybe one of you would like to apply? You need to do so soon! NASA is hoping to give the new hire six to twelve months with [Zottarell] for on-the-job training. You’ll need to brush up on your vintage assembly language too.
The two Voyagers were some of the first NASA spacecraft to use computers. The resources are limited in the three 40 year-old computers found on each probe. They handle the spacecraft’s science and flight software. The software is a little more recent having been updated only 25 years ago in 1990.
A big problem is a lot of the engineering design materials are no longer in existence. People’s memories of the events and reasons for decisions made that long ago are bit hazy. But NASA does have an emergency list of those former engineers when questions arise. That means this could be more than just a job where you program for ancient hardware, you could find a lot of reasons to interact with the people who pioneered this field!
This will be an awesome hack. Anyone up to doing remote computing at a distance of 12 billion miles?
A video on the history of the two voyagers is found after the break.
Continue reading “Who Said FORTRAN Is Dead?”