ANYmal isn't really selling those four legs

A while back I was looking at a factory's inspection shift schedule — six people on night patrol, three shifts rotating. Just running the numbers on that hurts. Coincidentally, a couple of days ago there was an ANYmal running a demo at a site, so I went over and watched for half a day. Let me be clear upfront: I'm a beginner, I mostly work with 3D engines and web stuff, and I first touched TongVerse just 5 days ago. I've been trying it out these past few days — less than a week all told — so what follows is more from the angle of how waypoints, data, and the backend actually get deployed, not me shilling for the equipment vendor.

Whether it's worth buying depends on the situation. It suits factories that already have a clear list of inspection waypoints, a relatively fixed site, and are willing to maintain a data backend. It does NOT suit people who want to buy one as a universal security guard and expect it to find problems on its own. Buy it and nobody manages the waypoints, nobody looks at the images it sends back — then it's just a very expensive roaming machine.

I can't take it home to test. It's physical hardware, so I can only watch on-site demos, watch the operation videos the vendor provides, and then go through the specs one by one.

How it gets used isn't actually complicated. A quadruped robot walks on four legs instead of wheels, so it can get through places wheeled equipment can't — stairs, grating, narrow aisles. Step one is mapping: a person walks it around the site, and it uses LiDAR to scan the environment into a map, after which it localizes and plans routes within that map on its own. This step isn't hard — if the site is orderly, one pass does it.

The bottleneck is step two: marking waypoints. Each inspection point needs three things set — where the gimbal stops, how far the 20x optical zoom is pulled, and whether it shoots visible light or thermal imaging. Thermal imaging captures temperature distribution — when pipe insulation is broken or a motor bearing overheats, you can't see it with the naked eye, but it shows up bright on the image. This work is very labor-intensive. At 20x zoom, if the waypoint is off by half a meter, what you shoot back is the pipe next door, and the whole night's run is wasted. The on-site engineer told me they marked about thirty-some points, and two people ground away at it for two days. I've recently been trying to set up similar waypoints in TongVerse, and even just getting started I can feel it — every point's angle, focal length, and shooting mode all have to be tuned consistently, and that's the real energy drain.

The pleasant surprise is that gimbal — pitch of plus or minus 90 degrees. It can look up at elevated pipe racks and look down at oil stains on the floor, which is quite a bit better than fixed-angle solutions. Also, it's already been actually deployed in scenarios like cement plants and offshore platforms — the offshore platform run was a continuous week, which counts as having verified stability.

	Manual patrol	Rail-based inspection	Quadruped inspection
After changing the production line	Just change the route	Need to relay tracks	Re-map and re-mark waypoints
Coverage height	Full	Limited by rail	Gimbal can pitch
Upfront investment	Low	Medium	High
Ongoing labor	Continuous	Low	Needs a data backend

The pitfalls are there too. Explosion-proofing is a big dividing line — the standard version can't enter Ex Zone 1, the strictest tier of explosive gas atmosphere in petrochemical plants; you need ANYmal X for that. This point is easy for sales to gloss over during selection, so best to ask clearly upfront. Another thing: what it shoots back is images, not conclusions. Without supporting analysis software to do before-and-after comparison, what you've got is hundreds of photos a night — who's going to look at them?

What I normally do is 3D engines/web, I've been hands-on with TongVerse for less than a week, and I don't touch full humanoid units. The biggest takeaway from seeing it is that the genuinely hard part of this track is the data backend and waypoint operations — the legs are just the entry ticket; that whole system behind it is the reason to buy again.