Cost reduction, efficiency boost—autonomous driving technology is making logistics smarter.
In today’s digital and intelligent era, autonomous driving technology is turning from science fiction into reality, and the logistics sector has become a “pioneering battlefield” for its application. Unmanned logistics vehicles, these intelligent transport tools based on autonomous driving technology, are quietly transforming the way goods move, offering us more efficient, economical, and safer logistics experiences.
1. What Are Unmanned Logistics Vehicles?
Unmanned logistics vehicles, also known as unmanned delivery vehicles, are smart vehicles that operate without human drivers, leveraging technologies like artificial intelligence, the Internet of Things, and big data. They achieve autonomous perception, intelligent decision-making, and precise control.
These vehicles typically feature L4-level (highly automated) autonomous driving capabilities, enabling full autonomy in specific areas and under certain conditions. They perceive their surroundings via sensors (e.g., LiDAR, cameras, millimeter-wave radar) and combine high-precision maps with intelligent navigation systems for real-time decision-making and path planning.
2. Diverse Application Scenarios for UGV of Logistics
Unmanned logistics vehicles are increasingly used across various logistics segments:
Last-Mile Delivery
The most widespread application, solving the “last few kilometers” delivery challenge. These vehicles transport parcels from distribution centers to community stations or rendezvous with couriers, significantly reducing couriers’ workload. By 2024, over 6,000 unmanned logistics vehicles were deployed globally for last-mile delivery.
Retail and Supermarket Distribution
Includes warehouse-to-store replenishment for chain supermarkets, fresh food delivery, and meal delivery. For example, Cainiao’s unmanned vehicles have been deployed in Hefei for warehouse-to-store tasks.
Port Transportation
Unmanned trucks excel in port automation, operating 24/7 to enhance efficiency and safety. Companies like Fabu Technology offer unmanned horizontal transport systems for ports.
Warehouse Logistics
AGVs/AMRs autonomously move, lift, and sort goods within warehouses, drastically improving automation and space utilization. For instance, Geek+’s robots increase picking efficiency by 3x and storage density by 80%–130%.
Special Scenarios
Used in high-altitude areas like Tibet for stable performance in harsh climates, as well as for hazardous material transport (e.g., fireworks, chemicals) and sanitation.
Table: Types and Applications of Unmanned Logistics Vehicles
| Type | Operating Range | Features | Examples |
| Last-Mile Delivery Vehicles | Urban roads, non-motorized lanes | Small payload, low speed, solves “last few kilometers” delivery | Neolix X3, Cainiao UGV |
| Distribution Line Vehicles | Urban roads | Larger payload and volume, for longer intra-city point-to-point transport | WeRide Robovan W5, Neolix X6 |
| Port Unmanned Trucks | Ports, enclosed areas | Automated, high-precision container transport | Fabu Technology Port System |
| Warehouse AGVs/AMRs | Warehouses, logistics centers | Indoor shelf moving, sorting, loading/unloading, enabling “goods-to-person” | Geek+ Smart Robots |
| Special Application Vehicles | Specific scenarios | Adapted for plateaus, hazardous materials, etc. | Xingchen Intelligent Plateau Vehicle |
3. Technological Support: How Do They Achieve Intelligence?
Unmanned logistics vehicles rely on multiple key technologies:
Perception Technology: LiDAR, cameras, and millimeter-wave radar fuse to sense the environment.
Decision & Control: Algorithms plan paths, predict behaviors, and ensure precise control.
Positioning & Navigation: GPS, IMU, and SLAM enable centimeter-level accuracy.
V2X Communication: Vehicles communicate with roadside devices, other vehicles, and cloud platforms for beyond-visual-range information.
Redundancy Design: Backup sensors, braking systems, and steering ensure safety during failures.
4. Key Advantages of Unmanned Logistics Vehicles
Cost Reduction & Efficiency Boost: Eliminates ~80% of labor costs in last-mile delivery. Vehicles like Neolix X3 reduce single-ticket costs by 50% and improve delivery speed by 20%–30%.
Enhanced Safety: Reduces accidents caused by human error or fatigue.
Labor Shortage Mitigation: Addresses logistics industry’s “recruitment challenges” as parcel volumes grow 14.4x in a decade, while courier numbers only increase 4.2x.
Operational Optimization: Intelligent scheduling enables multi-vehicle coordination. WeRide’s W5 allows one person to manage an entire fleet.
Environmental Benefits: Electric-driven, zero emissions.
Table: Unmanned vs. Traditional Logistics Vehicles (Cost Comparison)
| Cost Item | Unmanned Vehicles | Traditional Vehicles | Change | Notes |
| Labor Cost | ~$0/month | ~$700/month | -100% | No driver wages or benefits |
| Energy Cost | ~$25/month (electricity) | ~$315/month (fuel) | -92% | Based on 3,000 km monthly travel |
| Maintenance Cost | ~$28/month | ~$112/month | -75% | Simpler structure, lower frequency |
| Monthly Total Cost | ~$350/month | ~$1,078/month | -68% | Includes depreciation/subscription |
| Cost per Parcel | ~$0.006/parcel | ~$0.021/parcel | -73% | Based on 2,000 daily deliveries |
| Purchase Cost | From ~$2,800 (e.g., Jiushi E6) | N/A | N/A | Price drop due to mass production |
| Operational Duration | 24/7 | 8–10 hours (driver-limited) | +140% | No rest needed, higher asset utilization |
| Daily Efficiency | ~2,000 parcels/vehicle | 500–800 parcels/courier | Significant | Handles peak demand efficiently |
5. Challenges
Despite rapid growth, challenges remain:
Technical Long-Tail Issues: Handling extreme scenarios (e.g., harsh weather).
Regulations & Standards: National traffic laws, accident liability, and insurance need refinement.
Cost & Business Models: Despite falling prices (from ~140Kto 28K per vehicle), profitability requires innovative models.
Social Acceptance & Ethics: Public trust and ethical decision-making in accidents need time.
6. Future Trends
Technology Fusion: Vision-dominated multi-sensor solutions will lower costs. AI models will improve cognitive decision-making.
Vehicle-Road-Cloud Integration: Collaboration between smart vehicles, smart roads, and cloud platforms will enhance autonomy and efficiency.
Scalability & Commercialization: Head manufacturers will see order surges. Applications will expand to retail, manufacturing, and agriculture.
Policy Support: Governments will open more test roads and improve regulations. China’s State Post Bureau urged scaling unmanned vehicle use in May 2025.
Conclusion
Unmanned logistics vehicles, as pioneers of autonomous driving commercialization, are reshaping traditional logistics. They excel in cost reduction, safety, and addressing labor shortages. As technology matures, costs decline, policies improve, and business models solidify, their adoption will deepen.
In the future, more unmanned vehicles will navigate streets, highways, and logistics parks, working alongside humans to build smarter, efficient, and greener logistics systems. This technology-driven revolution is quietly transforming how we live and work.