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Wheel-Hand-Leg-Arms Open Doors Playfully
- solardev 3y agoYou might laugh at him now, but in five years, Buzzsaw-Hand-Legs-Arm is going to put all the carpenters and serial killers out of work.
- CapitalistCartr 3y agoWe'll need a welfare program for serial killers, and have to find new (menial) jobs for apprentices.
- deleted 3y ago[deleted]
- KineticLensman 3y agoI think you mean Wheel-Buzzsaw-Legs-Arm, or else it won't be going anywhere very quickly
- solardev 3y agoIt'll just cut itself some rotors and turn into a quadcopter
- bitwize 3y agoMan, these Bayformers are just getting uglier.
- bloopernova 3y agoLooks more like a Gobot to me. https://tfumux.fandom.com/wiki/Cy-Kill_(GoBots) https://tfumux.fandom.com/wiki/Cy-Kill_(GoBots)
- pard68 3y agoThis is hilarious to watch
- bloopernova 3y agoWhooo lives in your nightmares and murders your friends? Wheel-Hand-Leg-Arms!
- deleted 3y ago[deleted]
- apitman 3y agoWell that's terrifying. Looks like the wheelers from Oz
- schiffern 3y agoSoon: "Their coming was foretold!!"
- p1mrx 3y agoThis looks a bit unsanitary, like opening the door with your shoes. Though I don't know if the stuff on the ground is any worse than what's already on peoples' hands.
- presidentender 3y agoThe article and video trumpet the curiosity-based approach: you tell the robot to be "curious" about the door handle, and give a reward when the task of passing through the door is complete, and magic happens. I'm comfortable with my lack of understanding of the magic. I'm embarrassed by my lack of understanding of this "curiosity" concept. Does anyone have different words than those used in the article which might unlock my comprehension?
- solardev 3y agoThe article links to another article talking about that, in case you missed it: https://towardsdatascience.com/curiosity-driven-learning-made-easy-part-i-d3e5a2263359 https://towardsdatascience.com/curiosity-driven-learning-mad...
- stevenae 3y agoI forsee a really cool hacking movie being made based on this article.
- calamari4065 3y agoSay you have a bunch of AI agents playing a game where they need to jump up on a platform and push a button. You could give them no information and let them randomly move around until one happens to find the button. But what if you just told them there was "something" interesting in a particular spot? You could skip hours and hours of training them just to find the button by just giving them a hint. Think about the way a baby learns. They spot an object that catches their interest, and do whatever they can to get to it and inspect it. The difference is that the robot doesn't have an inherent mechanism for identifying interesting objects. You have to give it a hint as to what it should consider interesting, and it can figure the rest out from there.
- deepnet 3y agoCuriosity (in this context) is a Loss function based on the error between the observed next state and agent's prediction of the next state given the current state and an action. The states are encoded in a feature space that ignores irrellivancies that don't effect and are out of the agent's control ( e.g. leaves blowing on trees ) Curiosity provides a method to learn this feature space from the raw pixel input via inverse dynamics. The feature space is compact, relevant, sufficient, & stable which is ideal for RL. This Curiosity Loss function entices the agent to explore states it has not been in and areas with complex dynamics. These are states with high uncertainty which the agent reduces by becoming familiar with them. This is a self-supervised method with no extrinsic human designed reward. The agent aquires general knowledge about its enviroment and it is analagous to being curious.
- RobotToaster 3y ago> A few years ago, the robot learned how to stand up, which is an efficient way of moving and made the robot much more pleasant to hug Imagine that thing barrelling down a corridor at you to give you a hug, it's simultaneously adorable and terrifying.
- bloopernova 3y ago"He's friendly! He just wants to give you a hug! Just don't make eye contact"
- Rodeoclash 3y agoThe way the box is hurled into the container reminds me of the way someone would pick the box up and notice that it had a spider unexpectedly on it.
- mkj 3y agoCuriosity-driven learning sounds similar to coverage driven fuzzing for software (AFL etc). When it sees something new happen it tries to do more things in that same area.