The Shark AI Robot Vacuum RV2001 offers a modular build with robust plastics and reinforced joints. In cleaning, UltraClean Mode targets dense fibers, improving carpet performance in tests versus older models. Navigation uses AI Laser for row-by-row mapping and real-time localization, with predictable obstacle handling and occasional rerouting in clutter. Pet-hair removal remains strong thanks to a self-cleaning brushroll and PowerFins. The feature set includes voice control, scheduling, and a capable app; more details emerge as you continue.
Design and Build: What’s in the Box

The Design and Build: What’s in the Box section presents a concise inventory and physical assessment of the Shark AI Robot RV2001. The package includes the Shark AI Robot, charging dock, two sets of side brushes, and two filters, with clear labeling and fit-for-purpose packaging.
Build materials are described as robust plastics with reinforced joints, while the chassis and wheels reflect modular design choices for serviceability.
Design aesthetics emphasize a streamlined silhouette and low-profile profile for under furniture access. Navigation technology is referenced through integrated sensors, supporting obstacle avoidance capabilities, yet specific sensor types are not enumerated here.
Cleaning Performance: UltraClean Mode and Deep Cleaning
UltraClean Mode delivers targeted, multi-directional deep cleaning, claimed to improve carpet performance by 30% over the RV1100AE in single-pass tests with sand on a level loop.
The RV2001 demonstrates enhanced UltraClean deep cleaning by concentrating force on dense fiber areas and transitions between carpet and hard floors.
Data indicate consistent soil removal in high-traffic zones, with measurable lift in embedded debris capture.
Carpet performance is notably improved when UltraClean mode is engaged, though gains vary by pile height and contaminant type.
Performance metrics emphasize repeatability, with energy use aligning to extended cleaning sessions and sustained suction.
Navigation and Mapping: AI Laser Navigation and Obstacle Handling

AI Laser Navigation enables systematic, row-by-row cleaning across the home, supported by rapid LiDAR mapping and real-time localization. The RV2001 implements ai navigation to ensure complete mapping coverage, updating the map as layouts change and integrating room-by-room plans into cleaning routes. Obstacle handling is rule-based and sensor-driven, with cliff and height detection reducing falls and collisions. The system continuously re-evaluates paths to minimize gaps and redundant passes. Real-world performance shows consistent coverage with few missed zones, though dense clutter can trigger brief rerouting. Overall, navigation contributes predictable, repeatable task execution, aligning to strict efficiency benchmarks.
Pet Hair Removal and Brushroll Technology
Powered by a high-suction system and Shark’s self-cleaning brushroll, the RV2001 handles pet hair effectively by preventing buildup on the brushroll itself and maintaining consistent debris pickup across surfaces.
In pet hair scenarios, data show sustained brushroll contact with minimal hair tangling, supporting continuous suction efficiency.
The brushroll design reduces maintenance intervals, contributing to reduced downtime between cleanings.
Across carpet and hard floors, removal rates remain stable, with minimal loss of suction due to hairball formation.
Overall, pet hair handling integrates with PowerFins engagement to preserve surface coverage and reinforce reliable capture of fine fibers.
brushroll performance remains a focal strength.
Smart Features: Voice Control, Scheduling, and App Capabilities

The RV2001 integrates voice control, scheduling, and app capabilities to extend hands-free operation beyond traditional robot vacuums. In practice, voice control offers predictable command execution with Alexa and Google Assistant, though response latency and misinterpretations reveal voice control implications for timing and reliability. Scheduling aligns cleaning cycles with daily routines, supported by the SharkClean app’s offline and online modes, while real-time status updates appear in-app. App integration nuances include zone editing, No-Go Zones, and firmware checks, requiring concise navigation through menus. Overall, smart features provide measurable convenience, with performance contingent on network stability and consistent app updates.
Conclusion
The RV2001 demonstrates solid overall performance, with reliable navigation and robust cleaning power. Data from real-world testing shows accurate AI Laser mapping, effective obstacle avoidance, and strong carpet extraction, notably in UltraClean Mode. Brushroll design minimizes hair tangles, reducing maintenance time. Smart features—voice control and app scheduling—offer practical value, though setup and firmware updates can momentarily disrupt use. Overall, the model delivers consistent efficiency and user-friendly operation, making it a competitive option for multi-room homes.



