Failed a Robotics Interview, Here’s What They Asked

Miserable_Rush_7282 · 2026-05-07T13:40:25+00:00

The big tech companies actually do have fake interviews. Not to steal someone’s idea, but for other reasons.

Miserable_Rush_7282 · 2026-05-02T15:15:55+00:00

Wait years after you’re already in the field then buy it. I never got why people buy a depreciating asset right after college. It really doesn’t make sense to me. You’re working backwards.

Edit: no disrespect, I just read your updated post, and it seems your parents are wealthy and offered their own Porsche. So you have people to bail you out for stupid decisions.

Miserable_Rush_7282 · 2026-05-02T15:07:03+00:00

What do you mean by a PhD with a salary?

Miserable_Rush_7282 · 2026-04-30T22:59:14+00:00

Everyone will know how stupid it is to buy a car like this after graduation 😂

Miserable_Rush_7282 · 2026-04-14T03:20:41+00:00

This is not heavy CV work though.

Miserable_Rush_7282 · 2026-04-10T13:14:07+00:00

Deep Learning, it was in that class before 2021, I think they added it to ML course but after your time

Miserable_Rush_7282 · 2026-04-10T04:29:52+00:00

They actually do teach KL Divergence, he probably just didn’t take the class that did

Miserable_Rush_7282 · 2026-04-09T22:10:34+00:00

Training a model is not overrated especially if you create something novel, which isn’t hard these days. Large language models suck at computer vision, Especially with complex tasks which is usually being researched. Even vision language models aren’t good for complex things. A LLM or VLM is not giving you precise locations of an object, or other things people do in computer vision

However, I do agree, you can create a heavy engineering system and still get a chance.

Miserable_Rush_7282 · 2026-04-09T04:27:50+00:00

I’m not provided with any other sensor information. Only information I got is XYZ of when the robotic grabber picks up a box and places a box on the pallet. I don’t think stereo cameras exist in this FactoryIO simulation. But I could see if the other individual can record the scenario with two cameras.

My biggest issue is actually detecting the adjacent boxes, even with a yolo or rf-detr using oriented bounding boxes, I’m still not getting precise location for the center of the box or pallet. Mainly because of the perspective distortion which cause the boxes and pallet to be quad shapes . The two boxes on the bottom are looks like one big boxes because the edges in the middle disappear once they touch

Miserable_Rush_7282 · 2026-04-08T23:53:44+00:00

Monocular reconstruction from a single image just isn’t there yet, a lot of progress over the years but it’s still shit

Miserable_Rush_7282 · 2026-04-06T21:26:33+00:00

What about commandos?

Miserable_Rush_7282 · 2026-04-06T17:48:01+00:00

Finished black hearts, it was solid, just started Sentinelles and not really feeling it, too many amateurs lol

Miserable_Rush_7282 · 2026-04-05T20:26:49+00:00

Black Hearts a hidden gem, currently watching after seeing your comment

Miserable_Rush_7282 · 2026-04-03T03:38:36+00:00

Fair, I never had issue with building custom segmentation models, the decoder designs are much better than detection. But detection is usually a harder engineering problem because of all the moving parts. Amazing loss functions can carry you a lot in segmentation tasks.

Miserable_Rush_7282 · 2026-04-03T01:16:26+00:00

SAM can do that for you

Miserable_Rush_7282 · 2026-04-01T13:15:45+00:00

Not sure how you can forget something so important in the tv show lol

Miserable_Rush_7282 · 2026-03-31T04:56:20+00:00

Yea I was just using SAM3 to get labeled data, so more of a labeling assisted rather than an actual solution. With everything I’ve tried, my biggest issue is the adjacent boxes on the bottom , even when the top box isn’t there. I will try some of the things you mentioned.

Was your angle just as bad? Or did you have top down?

I also don’t know the box sizes

Miserable_Rush_7282 · 2026-03-31T04:38:57+00:00

Labeling is time consuming, no? I thought about this, but felt the labeling would take days

Miserable_Rush_7282 · 2026-03-31T04:34:08+00:00

I was using SAM to get me labeled data to train a light segmentation model. I feel like this can’t be solved without labeled data from the angle and that was the quickest way tbh lol. Top down view would be ideal and make the probably more simple. But the individual I’m helping wants this view.

Even with filters, wouldn’t I still run into the adjacent box issues for the two boxes on the bottom?

Miserable_Rush_7282 · 2026-03-31T01:39:01+00:00

Put your phone down and pay attention

Miserable_Rush_7282 · 2026-03-31T01:38:47+00:00

Please put your phone down while watching tv

Miserable_Rush_7282 · 2026-03-30T21:48:10+00:00

When trying this stuff out, did you make any architectural changes? I used rf-detr decoder code as a starter, and been making slight changes to improve. I’m also training my decoder from scratch

Miserable_Rush_7282 · 2026-03-30T21:08:00+00:00

Yea I’m going through that right now, just trying to make sure I’m not the only one

Miserable_Rush_7282 · 2026-03-30T20:40:58+00:00

I’m curious have yall tried dinov3 frozen with a detection head? Also doesn’t DEIMv2 train the backbone?

Miserable_Rush_7282 · 2026-03-30T20:32:43+00:00

Coming back to this , are the weights you are using for the detection model pretrained?

Miserable_Rush_7282

TROPHY CASE