5 ms·
https://www.mujin.co.jp/en/ https://www.mujin.co.jp/en/ This is not manual or bespoke and it has sensors. The videos are incredible and they work in real life
by neltnerb 5y ago
https://www.mujin.co.jp/en/ https://www.mujin.co.jp/en/
This is not manual or bespoke and it has sensors. The videos are incredible and they work in real life already.
This one is it moving petri dishes full of liquid without spilling! This is obviously not being pre-programmed to move along some kind of 1980s style fixed paths for welding parts as Alphabet apparently thinks everyone is still doing. The obliviousness of suggesting that using ML models for robotic control is some unique new idea is really off-putting. Mujin has been around since 2012.
https://www.youtube.com/watch?v=3vleHnx7uug&t=136s https://www.youtube.com/watch?v=3vleHnx7uug&t=136s
The more the merrier, of course, but just dismissing the state of the industry and claiming you've made a huge technology leap (compared to the 80s and 90s instead of something harder)... ugh.
- taldo 5y agoThe few Mujin videos I watched look a lot like PCB assembly pick-n-place machines. A little bit of computer vision, a little sensing here and there, but overall fairly simple pre-programmed moves, on a pretty controlled environment.
- neltnerb 5y agoIf you check out the beginning of the video link (I had it fast forwarded towards the end) you can see that it is doing an awful lot more than that, and in 2013. A pick and place is 2-axis movement with a suction cup. This is controlling a robot arm with a ton of degrees of freedom and developing paths for moving through all those degrees of freedom without hitting anything and using internal models to do so. I suppose in some very broad sense it looks similar, but the difficulty of x-y + down is way, way lower than what you're seeing in that video.
- cryvate1284 5y agoIt is harder than x-y + down, however I don't think this video is impressive really, having slowed down the video it doesn't look special to me and I did work on robotics/machine vision around that time.
- yunohn 5y ago> as Alphabet apparently thinks everyone is still doing. The obliviousness of suggesting that using ML models for robotic control is some unique new idea is really off-putting. Intrinsic/Alphabet are not suggesting they are somehow unaware of easily-Google-able state of the art in ML robotics. They literally used to own Boston Dynamics. From the post, the second demo of their tech (“Two robots use perception, force control, and multi-robot planning to assemble a simple piece of furniture”), is very clearly much more than “moving Petri dishes”. FAANG has access to the leading factories in Shenzhen, and heavily utilize robot tech in their HW supply chains.
- kortilla 5y ago> FAANG has access to the leading factories in Shenzhen, and heavily utilize robot tech in their HW supply chains. Do you know what the N stands for in FAANG?
- yunohn 5y agoThis is really boring pedantry, that does not further the conversation. Do you have anything to reply to from the rest of my comment?
- kortilla 5y agoIt’s not pedantry. Those companies have effectively nothing in common when it comes to HW.
- fragmede 5y agoIt's pedantry. FAAG is not an acronym in common usage (and is uncomfortably close to being a slur), so the more easily understood, less correct word was used instead. To point out that one of the companies doesn't produce consumer hardware doesn't invalidate the underlying point, so what is it, if not pedantry?
- kortilla 5y ago
- zelon88 5y agoI agree. It appears that Google is trying to pat it's own back in a room full of people who have never seen a modern place of production.
- azernik 5y agoIt doesn't seem like Alphabet thinks that? Their ad copy explicitly compares "training times".
- ta988 5y agoLook at how 5+axis CNC machines work now they are pretty impressive as well.