Modern robot vacuums combine mapping, localization, obstacle avoidance, sweeping, mopping, automatic recharge and docking-station maintenance. Performance can vary significantly across hard floors, carpets, thresholds, furniture layouts, cables and narrow passages. A real-world environment simulation test room creates repeatable household scenarios for algorithm validation, mechanical testing, cleaning-performance evaluation and production quality control.

1. Test Room Planning

The room can be divided into living-room, bedroom, dining, corridor and charging zones. Modular walls and furniture allow the laboratory to create different route complexity without rebuilding the entire room. The facility should include controlled lighting, overhead video monitoring, network access, electrical outlets, data interfaces and floor surfaces that are easy to clean after dust or debris testing.

2. Floor and Obstacle Configuration

• Hard floors such as wood, tile, stone or laminate for normal cleaning and mobility tests;
• Short-pile and long-pile carpets for suction change, brush entanglement and carpet recognition;
• Thresholds, transition strips, ramps and height differences for mobility evaluation;
• Tables, chairs, beds, cabinets, sofas and corners for edge-cleaning and narrow-space tests;
• Cables, small objects, transparent objects, dark surfaces and reflective materials for obstacle-sensing tests.

3. Main Test Items

The test room can support path-coverage ratio, repeated-cleaning ratio, missed area, edge distance, collision count, escape capability, automatic recharge success rate and task-completion time. For models with mopping and docking functions, the laboratory can additionally record water consumption, dirty-water recovery, mop washing, water refill, drying and automatic water-supply cycles. Cleaning-performance comparisons require a controlled contaminant type, mass, distribution and cleaning mode.

4. Navigation and Recharge Procedure

1. Delete the previous map and place the robot at the specified starting point;
2. Arrange furniture, thresholds and obstacles according to a controlled scene layout;
3. Run mapping, whole-room cleaning, zone cleaning and resume-after-interruption tasks;
4. Evaluate automatic recharge under different battery levels, lighting conditions and partial obstruction;
5. Change the clearance around the charging dock to assess route-planning robustness;
6. Save maps, logs and video when failures occur to identify localization drift or repeated route loops.

5. Data Recording and Evaluation

Overhead cameras, floor markers or an external tracking system can be used to record the movement path. Results should include coverage area, repeated path length, missed area, collisions, recharge time, trapped events and task duration rather than only a pass/fail statement. Repeated tests on the same sample help distinguish random events from systematic software or mechanical problems.

6. Operating Control and Maintenance

Each scene should have a layout number, floor-material record and obstacle-position drawing. Floors, brushes and docking stations must be cleaned between tests so that residue does not affect the next result. Lighting, Wi-Fi conditions, monitoring systems and charger location should also be verified. LSKFT can provide environment simulation rooms together with noise rooms, wheel-life testers, roller-brush endurance systems, recharge rooms, drive-force testers and water-supply life test equipment.