In the past, logistics automation was divided into two camps: AGVs that only lived inside warehouses, and autonomous trucks that only ran on highways. But the real pain point of last-mile logistics lies in the "final 500 meters"—where goods must cross busy city streets, enter gated industrial parks, and finally dock at a warehouse platform.
Today, I want to discuss how we broke these scenario barriers with a single vehicle.
Scenario Versatility: The "Ultimate Test" for Autonomy
For a logistics manager, the ideal equipment is one that can "enter, exit, and run steadily" anywhere. This requires the vehicle to have extreme scenario adaptability.
Urban Open Roads: Handling traffic lights, mixed traffic (cars and bikes), and unpredictable emergency situations.
Industrial/Campus Environments: Interacting with gate systems, performing U-turns in narrow lanes, and collaborating with forklifts and pedestrians.
Indoor/Basement Areas: Precisely docking at loading bays even in environments with zero GPS signal.
Core Technology: High-Precision SLAM and Sensor Fusion
The reason our vehicle excels as an Indoor and Outdoor AMR lies in its "brain" and "senses."
GPS-Independent Positioning: Many campuses and indoor areas have poor signals. We utilize LiDAR-based SLAM algorithms, which allow the vehicle to map and position itself in real-time by scanning environmental features, achieving centimeter-level accuracy.
360-Degree Total Perception: Equipped with multiple depth cameras and ultrasonic radars, the vehicle perceives all dynamic objects within a range of 0.1m to 150m.
Multi-Model Support: Whether it’s the Wing-door, Flatbed, or Cold Chain version, they all share this powerful autonomous chassis, ensuring operational consistency across different business needs.
Scenario Comparison: Traditional Solutions vs. All-Scenario ALV
| Feature | Traditional AGV/Delivery Robot | Our All-Scenario L4 ALV |
| Max Speed | Usually < 10km/h | Up to 40km/h (Balancing speed & safety) |
| Obstacle Clearance | Smooth floors only | Supports slopes, speed bumps, unpaved roads |
| Navigation | Magnetic strips or simple reflectors | High-precision Maps + 360° Perception |
| Road Rights | Indoor or sidewalk only | Urban Open Roads + Internal Campus Roads |
A Real-World Use Case
Imagine this workflow: An Urban Autonomous Vehicle departs from a sorting center, traveling at 40km/h on city streets. Upon reaching a large corporate campus, it automatically communicates with the gate system to enter. It then navigates through narrow inter-factory lanes and docks precisely at Warehouse Loading Bay No. 3.
No human intervention, no vehicle swapping—drastically reducing loading/unloading costs during transit.
Conclusion
Future logistics will no longer consist of isolated islands. We need "all-rounders" capable of shuttling freely between city arteries and corporate capillaries. Our L4 All-Scenario
Autonomous Logistics Vehicle was born to break these boundaries.
