One thing, why use a machine learning algorithm for path finding in the maze instead of just using an actual path finding algo? Did I miss something?
One thing, why use a machine learning algorithm for path finding in the maze instead of just using an actual path finding algo? Did I miss something?
If you have a quarter acre, you can have a nice garden, and it's kind of labor intensive but hopefully enjoyable, and you can get some nice food out of it.
With five to ten acres, food security is in reach, and some left over for market. But it's really rather a lot of work, and the tools farmers use to make that work easy are massively oversized for the job, and require you to lay out the land according to the logic of a much larger farm.
A pig-sized arachnid robot, with a vision module and a few replaceable tools for 'mandibles', a replaceable lithium pack for an abdomen: that could bring the amount of work back down to a part-time job.
This is a company, not a project. But backed with open-source software so that the machine learning and supplemental tools can be improved by users, I think it could be quite a successful one, and make the world more robust and anti-fragile.
With half decent radios, the brains of the bot could be stashed back at HQ, which would really improve the amount of computation available.
The physical manipulation part would take some work for sure, and the robot itself would be fairly expensive to make, but it's all pretty achievable. You need it to do more than a BobCat while costing less.
It's not "Uber for $sector" but it can be done.
Re the maze, I've got just the terrain so far - I'm working on the gym environment.. I was thinking to write 2 different versions of it, one in which the robot has a map of the maze and navigate it using a path finding algo (probably A*) and another version without any map (I'll probably need a lidar for this).
Are you hiring?