jonnycowboy

Not in this case. With SpaceX they also need high (de-entry, Mach heating) and low temperature (cryo fuel & oxygen) resistance but in the case of Boom the surface won’t heat enough to need high temp materials.

That said, I’m not sure their choice of materials is the good one for a startup.

In interaction with anything rigid (or even deformable), position control does not mean anything. Force (or torque) control defines the actual physical interaction.

We actually have very cheap and pretty powerful position-controlled actuators (hobby servo motors). Attach any kind of spring and displacement measurement device (potentiometer, hall sensor, optical, LVDT, etc) and voila, instant torque controlled actuator.

You can look up Series Elastic Actuators for more info or use this article as guidance (any spring will do as long as the force range and spring constant is adequate).

https://www.sciencedirect.com/science/article/pii/S240589631...

Also interested in answers to these two questions, as well as OpenCL performance in vanilla linux (iMX6 and above).

Did you go to Sherbrooke?

Sad to hear, I demoed a system with a Tobii sensor and it performed very well (even with my glasses). We were wondering about the effect of the constant IR blasts (are they continuous or pulsing?), thanks for the input.

I work for a company that makes robot arms for assistive purposes (Kinova) so I have some insight to share.

1st a voice setup with Alexa or similar can really help.

With regards to phone use, some of our users have an attachment to put the phone close to their head and use their nose to "click/select" (they can move their head).

Eye tracking technology is really impressive these days (can be as fast as using a mouse). I've recently demoed a system with a Tobii sensor (https://www.tobii.com/) that was hooked up to a laptop, very impressive when combined with appropriate software (it handles scrolling, keyboard shortcuts, etc in a custom interface). I'm not sure with regards to phone/tablet use how well they integrate.

Ping me on Linkedin if you'd like to talk more.

The thing is that there was a lot about those old systems that was slow, so you were very, very careful how you programmed. You tended not to use vast library stacks, you went close to the metal and you coded in languages like Assembler, COBOL or FORTRAN. I/O was often run through specialised co-processors (such as IBM's channel processors) and the terminals could sometimes help too.

I have friends who have been looking after legacy applications for an airline running on Unisys. The core apps for reservation, Cargo booking and weight/balance were written in FORTRAN. In recent times, the front end was written in Java to give web access. They tried to rewrite the core apps but it was impossible to do so and get the performance.

the real question of course would be how to train the AI to have varying levels of "expertise" (ie: penalize if score is too high)

Shorting insurance companies.

Very interesting, thanks for the share.

One point I noticed not mentioned yet is that the images used for training are only 64x64! In the original google "grasping" research, the images were 472 × 472, 54 times bigger! I think they are looking for "minimum visual information" required to trigger the required learning. This will help in mobile applications (ie: robotics, smartphones, etc) where processing power is severely limited.

I think this is mainly a "data" challege, how does Udacity plan on gaining an upper hand on this, especially with competitors like Uber and Tesla which gather data exponentially with each new ride/car sold?

Not anymore, at least with CRISPR.

Do you know how long it took to train using that dataset and with what hardware configuration?

I would say: automation & AI:

- automated cities & robotic workers - HARC working on the interfaces for the "workers" - basic income to replace minimum wage earners' incomes

Would love to work on this path!

correction - those who PROJECT peace also nurture war.

In both of those examples likely the blame is on the company and not the worker.

In Joe's case, any aluminium dust may stick on the broom - solution, two seperate 20$ brooms, problem solved. Nevermind aluminum and iron shaving take a significant heat source to trigger, at what part of the factory was this corner cut?

In Roy's case, it is a problem with the process, not with the worker. 1" drill bits get dulled, and are very hard to actually break. Was the jig properly set up? Was Roy involved in setting the process up and understand tolerances and bolt holes (including adding a go/nogo tool if required). These are the questions that need answering before passing the blame onto the minimum wage employee.

Do you have any details of what and how you teach the kids? I am interested in setting something similar up in our neighborhood.

Maybe @sama needs to take some hint from him for his new cities project!

Seems like a good way to start a lawsuit...

This will be a great alternative for the kids instead of a complex PS4 or Xbox. Especially considering the controller size is much more in line with their hand sizes.

It could be 100 pages if you start from scratch with a permissive development plan... (from a city standpoint).

Issues such as criminal law, state and federal taxation, etc are outside the purvue of this discussion (and of the 100 page limit) since YCR is speaking of a _city_, likely within the US.

Put a draft up on github and see it fork away!

Reliability is not an issue for industrial hydraulics (they rarely break down) however they do require a lot of maintenance, are filled with hot (dirty) hydraulic fluid and are noisy (pumps). Electric solves all those issues.

I imagine this robot is only a few weeks/months away from being able to plug itself in to recharge from any household socket.

You mean Rat Things, right?

http://villains.wikia.com/wiki/Rat_Things_(Snow_Crash)

Easily the most impressive household robot ever built.

BD is only focusing on the platform.

Google is working on the deep learning aspect of finding out what to do / action and how to do it.

The control theory remark above is true, however even with deep learning, you can start your estimate of the parameters with the current control state, which reduces training time significantly.

Interesting that most of the requirements listed can be waived, including presumably the line of sight requirement (ie: for drone delivery): • Most of the restrictions discussed above are waivable if the applicant demonstrates that his or her operation can safely be conducted under the terms of a certificate of waiver.

Yes, easily by devaluing the currency.

There are always tradeoffs... airplanes move more or less at a steady speed, and are much more aerodynamic than cars, which spent quite a bit of time stuck in traffic. Thus in many cases planes are more efficient than cars (despite needing to lift).