
-
Matrix Clean™ Ensures Total Coverage with Corner-to-Corner Precision
-
Smart Carpet Detection & Sonic Mopping
-
360° LiDAR Vision: Provides precise home mapping and object avoidance
-
SharkClean® App: Allows for scheduling, room selection, and no-go zones.
-
Self-Empty Base: Holds up to 60 days of dirt and debris
-
One of The Most Durable & Reliable Bots You Can Get Under $400

-
Pathfinder™ Smart Navigation: With LiDAR and AI vision
-
Detailed Edge-Cleaning: With MopExtend™ technology
-
Self-Washing, Drying & Refilling All-in-One Dock
-
AI Action™ Object Recognition with Obstacle Labeling
-
Seamless Integration With Mi Home, Alexa, and Google Assistant
Shark Robotic Vacuum Cleaners
Shark might’ve made its name with upright vacuums, but don’t underestimate its robotic lineup. These bots are clever, tough on debris, and surprisingly well-priced—especially considering how many “premium” features now show up in sub-$400 models. Shark isn’t chasing luxury aesthetics or flashy AI gimmicks—it’s focused on practical cleaning tech that works in real homes. The brand’s newer Matrix™, Detect Pro™, and AI Ultra™ lines show how far it's come, and how serious it is about staying in the game.
Let’s unpack the full Shark robot vacuum lineup and find out where each model shines — and where it still leaves a little dust behind.
Dreame Robotic Vacuum Cleaners
Founded in 2017 and backed by Xiaomi’s ecosystem, Dreame Technology hasn’t wasted time making a name for itself. In just a few years, it’s gone from newcomer to heavy-hitter — especially in the premium-but-not-overpriced category.
Dreame’s bots are all about blending serious engineering with a sleek, modern design. From Pathfinder™ Navigation to MopExtend™ arms and auto-empty stations that do everything short of walking your dog, they’re chasing full automation — and doing it fast. Their lineup competes directly with Roborock and iRobot, but often undercuts them in price while packing just as much punch.
Curious if Dreame’s robots really live up to the hype? Let’s break it down, feature by feature.