aerophilic
https://www.yorkspacesystems.com/
Short version: make a giant pressure vessel and keep things at 1 atm. Circulate air like you would do on earth. Yes, there is still plenty of excess heat you need to radiate, but dramatically simplifies things.
I-Con: A Unifying Framework for Representation Learning
Crunch labs: https://www.crunchlabs.com/
As someone in the industry (I literally can call myself a Robot Master having a Masters Degree in Robotics), these simple “kid kits” are phenomenal. When you first start out, the hardest part is knowing the hardware is actually going to do what you tell it to do. Simplifying the mechanical engineering/electrical engineering so you can immediately create real world actions makes a huge difference in giving you motivation to keep going.
Once you have the basics in place and you understand mechanisms, sensors, and some algorithms, you can move on to other parts of robotics.
However, keep in mind robotics is really about system thinking… you have to understand trades between sensing, thinking, and acting. But most importantly you have to remember you are dealing with the real world… you can’t as easily write a unit test and know that a particular actuator will behave exactly the same way every time.
If you have young kids (6-15) these are perfect educational tools. Highly recommend. Only downside is some of them are a bit “mischievous”. For example a “Bobbie trap” that launches balls at whomever tripped the wire. Good times…
Side note: our main use case is using cuda for image processing.
Lockheed's Take on Lunar Architecture (Video)
Interesting to see how these two would compare, but my first (light) glance points to velo.ai being further along…
All that said, once Starship is regularly in use for lunar delivery… I suspect we will have a fundamental new paradigm for space.
RP Flip – Research vessel that goes from ship to platform
I think this is a pre req to trying to do what a founder is working to do: Change fundamental belief states of the vast majority of people. It is extremely uncomfortable to stake out a position no one else believes in… yet. It requires courage (and thick skin) to get people through the disbelief curve.
Article: https://www.nytimes.com/2019/06/24/smarter-living/how-a-bran...
Physicists Accidentally Found a New Way to Represent Pi
Amid roadkill epidemic, California builds largest wildlife bridge
The high cost of low wages (2006)
In it she covers the latest and greatest robot news, with occasional commentary/perspectives.
However to more directly answer your question, you need to know/talk to someone in the industry at the moment. I am not aware of a single “spot” that gives an honest in depth appraisal of where we are.
From my experience there is a ton of new “hardware” coming out, not just in the humanoid space (Agility Robotics being imho the most “real”), but also in lower cost robot arms, end effectors, sensors, and compute.
Where things are harder to track is where we really are in the software realm. If you look at software driving this hardware, most of it is early stages. Perhaps TRL level 3 to 5 at best. The higher TRL is non-intelligent control software (that is based on decades of work). The newer, AI/Machine Learning/“Smart” software tends to only have limited roll out. At best it will be a startup at the relatively early stages, but more often then not it is still a researcher sitting at a University or a large corporations research lab. In either of those cases, you will see single to at most double digit examples of those systems actually doing work.
However, to your point, it is super easy to create a single (or even a series) of cool videos… it just takes one success in 100s of takes. It is harder to make something that will perform day in and day out and really change the industry/world.
A new generation of smart robots could take over farm tasks handled by humans [video]
Imagine what would happen if we doubled or tripled that number.
How many more companies founded, inventions created, or if you care about art, new creations never imagined.
We really MUST do better, it is in all our best interests.
Two alternate stories I didn’t tell:
First is about my two friends (both ridiculously smart) who in undergrad became the TAs for the Operating System class at Carnegie Mellon as undergrads (normally taught by grad students)… this is the hardest CS course taught there. As part of their summer prep, they wrote a new file system example… I believe based on a b-tree.
The next was my AI professor, Andrew Moore [0], he was legendary at the school… eventually becoming dean after doing a stint at Google (he has since stepped down). By far, he is the smartest person I have ever personally known. To give you context (and we did this regularly in his class), you could ask him a question on anything and he would pause, think about it, and come up with a well reasoned answer that would be both insightful and illuminating… from first principles. On any subject. You could not throw him (we tried). I am still in awe of him.
While I agree that legendary tales grow… they are almost always based on a kernel of truth. The reality is most people don’t often interact with folks at these levels. I was very lucky, and I have only interacted with a handful.
[0] https://www.forbes.com/sites/peterhigh/2017/10/30/carnegie-m...
FWIW, apparently back before Intel released a particular 4 bit processor, this guy made an emulator and compiler for the chip so they could start writing code in anticipation of its release.
Once again, not direct experience… but trusted source.
He once mentored a guy who was so ridiculously good at writing programs, that he wrote out (once) a 5 foot stack of punch cards (back when that was how you would code), to create a program that was needed by the company for some purpose.
It worked, flawlessly, the FIRST time.
This was his MO.
Once, he wrote a program for an internal client, and it got shipped. They ran the program and ran into a problem. My friend told him to debug it for them… he replied “I don’t know how”. Up to that point in his life, He had never had to debug a single piece of software…
My friend helped him debug the program: Turns out, the problem was not an issue with his code, the customer had given him the wrong spec for a critical interface… and that was the only reason it had not worked the first time.
There are truly people that qualify. The only note I will make is that generally if you are a super genius in one dimension, you likely have something you are absolutely terrible at in another. Hopefully it is in a dimension that either doesn’t matter, or you have enough complementary people around you to mitigate it.
The more reusable launch providers the better for the industry and for human kind.
Companies Brought in Robots. Now They Need Human 'Robot Wranglers.'
To directly answer your question, I didn’t talk to a doctor ahead of time, but I did make sure to drink lots of water during that period.
I remember the hardest day was day 2. For the first day, you “feel” hungry as your body is accustomed to eating, but it is day 2 you are genuinely hungry. However, per the article, after about the third day you simply don’t notice yourself being as hungry anymore.
I noticed then (and notice now when I fast) positive effects on mood, and ironically energy.
The only drawback I have noticed is that the first meal after a fast, especially if a large carbohydrate based one, seems to have outsized effects on drowsiness.