Submitted by science-raven t3_11oaek2 in MachineLearning
Why do some folk think that this futuristic type of robot can't logically achieve a broad array of stated ML tasks?
I see the dev cost of this robot as being 100 times less than a self-driving car: single error fatality risk, unlimited chaotic cities, 90mph compute time limits, make self-driving cars unfeasible compared to multitask garden robots.
Fruit-picking is very difficult using AI, but weeding, digging, sowing seeds, irrigation, are fairly easy tasks, and an experienced developer knows that anything is possible with logic.
Millions of acres of farmland are chemically and brutally treated for food that is wrapped in plastic, shipped hundreds of miles, to supermarkets, so as an environmental chemist, rural processes analyst and EE dabbler, I have created an emulator prototype for a garden robot :)
MrTacobeans t1_jbs7jtu wrote
I think the biggest issue here though is a large part of a bot like this would be traditional programming. The type of AI hardware needed for these tasks in the garden would likely eclipse the bots 3k goal for the foreseeable future.