Fixed variable cost analysis is crucial. 15k is very high. If you put 10 skilled workers on it for a year, plus development labs, it would cost about $1.2 million, including outsourcing to specialist engineers to refine the CAD files.

At high volumes, like 4000 units, that is divided to $300 RnD per unit. Obviously, it would benefit from a 2-3 million dev budget though.

The bill of materials is 3000, The metal welding is $500 and the assembly is another 500, so an open source kit would be less than 4000 dollars, and a fully built kit would also be 5000.

Husqvarna and roomba companies sell by market price, not the production price, so they can markup a high value, and they use custom circuit boards, custom plastic moulds including big thermoplastic pieces.

There's two types of weeding, the most common is the huge quantities of seedlings that come up in new soil. That's dizzyingly easy for a human, and it's not too difficult for a robot. It's too repetitive for a human. The difficult types of weeds are those that have to be drilled, because humans don't have drills and mapping ability.

Drilling soil using an auger is actually a back and forth movement using just one vector on a single motor. The arm has at least 1 force sensor in the tool piece.

If you spend a moment on YT to see the latest projects, there are quadcopters that pick apples, and many awesome fruit picking demonstrations. AI is fanning out into many fields.

Technologies can come late because they have been missed: electronic cigarettes could have existed since the 1930's when propylene glycol was used for medicines.

For the grit, yes it's tricky, the robot can ask for a brush down every week, there can be teflon coatings, agri-alloys, a brush so the robot can tidy tools, a stethoscope audio sensor.

Thanks for the info. The robot has an onboard map of the entire garden which is accurate to a couple of inches and an ultrasound ping, so it can arrive anywhere without processing.

I found a visual servoing demo using a Raspberry Pi from 2015, and today the v4 is four times faster than that. How can it fail at accurate placement when all the objects in the garden are static, and it has limitless time for processing the most difficult tasks?

Nvidia Jetson Nano and Raspberry Pi can run 2 FPS of AI object detection, on Yolo NN code. A Yolo model can differentiate 80 different objects, and you can run 20-50 different Yolo models, to detect 10,000 different objects.

The traditional programming copies the AI identification objects to a 3D map of the zone.

Mechatronics is about building robots and that could be pretty useful. For example gardening robots could supply 20% of the worlds food in 50 years time.

5 Is tricky because its desireable to add custom training sets to giant models, so folk will add anything that was banned. And open source copies of ultra powerful tools will only be a few years away.

Lols for brevity! Theres a maths NN project or 5. There isnt a thing called classical algos, like music. Classical greek? That isnt a science term? No results for that type of algo on google either.

Jan 3rd haha.. poor freak hes a gonnnnnnna. No even anything to show. Bankers b doooooomed.

128 dollars to upgrade to 1.8 my cable! Made-in-china! Apple can bcpm compot.

Its highly infectious compared to covid, as much or more, and it is established not zoonotic, its more stable, less unpredictable, more virulent without provoking disturbing signs that cause isolation. I got rotavirus for xmas. 44. Fever 4 - 5 days.