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Breakthroughs in Learning and Multi-Robot Coordination

One minute insights from our conversations with CXOs and industry experts.

There are lots of interesting stuff that's going on within us obviously and also in the world of robotics in general. One thing that I'm very excited about is end-to-end learning. where just the way you and I would drive, how would a robot just translate sensor information directly into an actionable insight. So that is something that is catching up in the research community. And I think at some point it's going to come down to commercial robots as well. This is something that I'm very, very excited about. The other things that I am excited about in robotics is like all the inter-fleet coordination. Now we understand that one particular vendor or one particular robot supplier is not going to win the entire automation game.

There are going to be multiple parties who are good at their own specific tasks. So that could be ARM manufacturers, that could be AMR manufacturers like us, that could be people who are really good at conveyors, there are people who are really good at accessories. So all of them have to come together to do zero-touch automation in a particular factory. But who's going to do this coordination among different robots? Like you can think of there are going to be islands of fixed automation spread across the factories, whereas the AMRs themselves can be the connective tissue between these islands. Where on top of it is going to be the fleet manager, which is going to be a key piece of the puzzle. And there is going to be more and more of IoT vendors. There's going to be more and more of this kind of coordination that is required across multiple robots, and they need to come together. And that intelligence at the fleet is going to be key. And that's something that I'm excited to see.