Dog simulator videos how to#
Dog simulator videos trial#
Dog simulator videos series#

On the other hand, training algorithms in the real world is impractical: It’d take too much time and wear and tear.įour years ago, for example, OpenAI showed off an AI-enabled robotic hand that could manipulate a cube. Little details and differences between the real world and simulation can trip up fledgling robots. In a paper published on the arXiv preprint server, the researchers-Danijar Hafner, Alejandro Escontrela, and Philipp Wu-say transferring algorithms that have learned in simulation to the real world isn’t straightforward.

Dog simulator videos trial#

But while prior robots learned the skill by trial and error over innumerable iterations in simulations, the Berkeley bot learned entirely in the real world. It’s not the first time a robot has used artificial intelligence to learn to walk.

Dog simulator videos how to#

A further ten minutes of harassment with a roll of cardboard is enough to teach it how to withstand and recover from being pushed around by its handlers. The robot is also special because, unlike other flashier robots you might have seen online, it uses artificial intelligence to teach itself how to walk.īeginning on its back, legs waving, the robot learns to flip itself over, stand up, and walk in an hour. And it’s likewise a surprisingly quick learner (relative to the rest of robot-kind). The fawn in this case is a robotic dog at the University of California, Berkeley. Well, now we have a robot version of this classic Serengeti scene. Amazingly, a few minutes after this endearing display, the fawn is hopping around like an old pro.

Dog simulator videos series#

Eventually, it stands long enough to flail its toothpick-like legs into a series of near falls…ahem, steps. I have much more planned, but those are my current projects.Ever seen a baby gazelle learn to walk? A fawn, which is basically a mammalian daddy longlegs, scrambles to its feet, falls, stands, and falls again. Better item/equipment graphics, sound effects/BGM etc Customising each 4 of the classes you can pick at the start of the game so that they actually matter when you pick them. A 'Marketing' system to enable you to get more reputation. A randomised 'Dog Pooping' event, that you will have to action and clean up (otherwise face fines) M0AR CUSTOMERS! Enlarging the map, to have much more options for dog walking. The next additions that I'm currently working on will be: Feel free to comment your feedback, or come visit the reddit post dedicated to it The 4 classes you can choose from are all the same right now (but will be worked on and each have unique perks in my next release). There is a basic starter house, a basic store, a basic energy and reputation system and each dog is deemed 'walked' once you have walked a certain amount of steps. There are only 5 customers right now, all set to different days, so you can't really walk a bunch of dogs every day just yet (although on a Sunday there are 4 customers that you can get dogs from to be able to demo the simultaneous walk feature). These houses will look very different in the final product. The main map has a series of placeholder houses. This is about a 5-20 minute demo (depending on how indepth you want to be with it) just to show you the working aspects of the core gameplay.

I intend to complete this over the next few months and release it free to Primary and High school students to give them an interactive learning experience on running an enterprise. I have uploaded my (very limited) work in progress or 'demo' of my Dog Walking Simulator game.