Robot vacuums these days feel like they’re all trying to outdo each other, don’t they? Bigger numbers, bigger docks, and more features that feel more novel than practical (who really wants a robot arm that picks up their socks?). The reality is, the day-to-day experience of most robot vacuums released over the past couple of years hasn’t actually changed that much.
So when Dreame sent over their newest X60 Ultra, I wasn’t expecting much beyond the usual token upgrade. More suction power? Sure. Smarter navigation? Okay. What I definitely didn’t expect was for the biggest difference to come from something as simple as its size.
Dreame’s latest robot vacuum features a noticeably smaller docking station.
Photo: HWZ
Because Dreame’s new kid on the block is noticeably more compact than its previous Ultra models, with a lower profile that lets it slip under furniture easier than those that came before it. The first time I ran it, it disappeared in the gaps under my cabinets that were unreachable by other robot vacuums. And it’s not just the robot. The dock is smaller too – which, honestly, might matter just as much.
Dreame hasn’t gone minimal here; it still does everything you’d expect from a flagship dock – auto-emptying, mop washing, drying – but it doesn’t feel like it’s trying to take over your living room. Compared to the Aqua 10 Pro or the Matrix10 Ultra, both of which I’ve previously tested, the difference is pretty obvious. Those docks stand out quite noticeably, thanks in part to their large footprint. The X60 Ultra’s dock, however, is easier to live with. Don’t get me wrong, It’s still sizeable but you can tuck it along a wall or into a corner far easier than Dreame’s previous models.
Setup is straightforward too. Personally for me, the Dreame app is still one of the better ones out there compared to the competition, and mapping my home the first time around is quick and simple enough.
Putting it through its paces
The robot projects a blue LED light to highlight dusts and debris, as well as to allow it to better detect obstacles in dimly lit areas.





