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Hey all, I'm a robotics engineer by training turned ML/AI engineer because of passion right after school. I want to start combining these skills together and I think a competition is the best way of doing it. Here's an example of a challenge I'm talking about to set expectations : https://www.intrinsic.ai/events/ai-for-industry-challenge Anyone up for this? L.E.1. I'm based in Europe. I think online only competitions would be easiest to start with to get momentum going, then if the results are worth it, we can consider meeting in person if it makes sense. L.E.2. I don't have the next challenge in mind yet, I'm open to suggestions. submitted by /u/Due_Pickle1627 [link] [Kommentare]

I'm researching how teams build datasets for robot learning and I'm curious what the biggest challenges are in practice. From what I've seen so far, collecting robotics data seems very different from standard computer vision datasets because you have to deal with sensor synchronization, demonstrations, real-world edge cases, and often much smaller datasets. One thing I'm still trying to understand is where most teams spend the majority of their time. For people working on robot learning, manipulation, navigation, or autonomous systems: Is data collection the main bottleneck? Is annotation and labeling the difficult part? Do you rely more on simulation or real-world data? What would you improve if you could rebuild your data pipeline from scratch? I'd love to hear some real-world experiences. submitted by /u/Vane1st [link] [Kommentare]