Autonomous Delivery Vehicles

Description

Autonomous Delivery Vehicles are intelligent transportation tools built on autonomous driving technology, artificial intelligence algorithms, and IoT (Internet of Things) systems. Specifically designed for urban last-mile logistics scenarios, they aim to address the "last kilometer" delivery challenge in cities. These vehicles are capable of autonomously planning routes, recognizing complex traffic conditions, and executing parcel delivery tasks. Compared to traditional logistics delivery methods, they significantly improve efficiency and reduce labor costs.

Core Technology Support

Autonomous Driving System

Relying on a combination of LiDAR, high-definition cameras, millimeter-wave radar, and GNSS/IMU integrated navigation systems, the vehicle achieves 360° environmental modeling in all weather conditions. Combined with deep learning algorithms (such as object detection and path planning), it realizes comprehensive environment perception and decision-making control.

High-Precision Mapping and Localization

Centimeter-level mapping and real-time positioning technologies—such as GNSS+inertial navigation+LiDAR SLAM+visual SLAM—ensure precise and reliable vehicle navigation.

Vehicle-to-Everything (V2X) Connectivity

Through communication between vehicles (V2V) and communication between vehicles and infrastructure (V2I), the system enables traffic congestion prediction (with 92% accuracy), dynamic obstacle avoidance (response time <100ms), and multi-vehicle coordinated scheduling.

Steer-by-wire Chassis System

The chassis supports four-wheel hub motor drive (peak power 200kW), four-wheel steering (minimum turning radius 4.2m), and active suspension adjustment, making it adaptable to complex road conditions.

Energy System

Primarily electric-powered, the system supports long-range endurance and fast charging, aligning with the trend of green logistics.

Advantages

Load Capacity: Capable of continuously carrying up to 1000kg in cold chain transportation scenarios, with the temperature control system accounting for ≤18% of total energy consumption.

24/7 Operation Capability: Supports uninterrupted 7×24 hour operation. During nighttime hours with lower traffic, delivery efficiency can be doubled. Pilot data from a city in the Yangtze River Delta region shows that the cost per kilometer at night is 28% lower than during daytime.

Protection Reliability: In extreme conditions such as heavy rain (with enhanced radar penetration) and earthquakes (vehicle automatically evacuates danger zones), the sensor false alarm rate is <0.1%, and the mean time between failures (MTBF) exceeds 5000 hours.

Temperature Control System: Features a refrigerated compartment with adjustable temperature ranging from -25°C to 25°C (±0.5°C accuracy), and a dedicated pharmaceutical compartment compliant with GSP standards. It is also equipped with RFID and blockchain-based traceability technology.

Range capacity: Fitted with an 80kWh Lithium battery pack (with a cycle life >3000 times), supporting 30-minute fast charging and automatic charging docking (charging pile recognition accuracy of 99.8%). The maximum daily driving range reaches 180km.

Main Application Scenarios

"Last-Mile" Delivery

Dynamic Route Reconfiguration:
Adjusts delivery routes in real time based on user location.

Contactless Delivery:
Equipped with smart cargo compartments (featuring facial recognition and QR code unlocking), supporting both scheduled and instant pickup.
In urban last-mile delivery, autonomous vehicles can handle short-distance transportation from logistics stations to users' doorsteps. They are especially suitable for enclosed environments such as residential communities, business parks, and campuses.

Case:
During a pilot program with a food delivery platform, the on-time delivery rate during peak hours increased from 78% to 96%.
Express Logistics

Pain Point:
Rapidly increasing express volume (over 300 million parcels per day on average); labor costs accounting for more than 40% of total delivery costs; and restrictions due to closed community management.

Adaptive Technologies:
Dynamic Route Optimization: Based on real-time traffic flow prediction and order priority algorithms, daily delivery routes are shortened by 18%, and idle driving rates are reduced by 35%.

Nighttime Centralized Delivery:
Completing 80% of trunk transportation during the off-peak hours of 2–5 AM, combined with intelligent sorting stations to enable a "nighttime consolidation + daytime last-mile delivery" model. This reduces labor requirements per station by 50%.
Medical Supply Delivery

Pain Point:
Frequent transportation and high hygiene requirements of both medicines and specimens within hospitals.

Adaptive Technologies:
Disinfection Module: Integrated ultraviolet (UV) lamps and ozone generators to ensure onboard sterilization.
Emergency Response: Supports one-touch emergency calls and priority task scheduling to ensure rapid delivery in critical situations.

Case:
At a hospital in California, the use of "Serve" delivery robots reduced medication delivery time by 40%.
Fresh Food Delivery

Pain Point:
Strict time requirements (e.g., "30-minute delivery"), and difficulties in maintaining cold chain temperature control.

Adaptive Technologies:
Equipped with Dual-Compressor Redundant System, supports wide temperature regulation from -25°C to 25°C with ±0.5°C high-precision temperature control, ensuring food freshness.
Dynamic Dispatching: The cloud-based system optimizes delivery routes in real time to handle traffic congestion.

Case:
In collaboration with Kroger for fresh food delivery, users can track vehicle location via mobile app. The 30-minutes on-time delivery rate for orders increased to 85%.
Fast-Moving Consumer Goods (FMCG)

Adaptive Technology:Compartmentalized Cargo Box with 8 Independent Temperature Zones,Allows simultaneous delivery of different types of goods with varying temperature requirements.Dynamic Route Reconfiguration Algorithm enables consolidation of up to 10 merchants' orders in a single trip.The number of delivery stops per trip increased by 40%, significantly improving operational efficiency.
Special Scenario Applications

Pain Point:
Delivery in remote or hazardous environments such as mountainous areas, mining zones, or pandemic lockdown regions, where human labor is either insufficient or unsafe.

Adaptive Technologies:
All-Terrain Chassis: Equipped with four-wheel drive or tracked design, capable of climbing slopes ≥45°, ensuring mobility in rough terrain.
Extended Range: Powered by a hybrid system combining hydrogen fuel cells and solar panels, achieving a range of over 200km on a single charge.

Case:
In rural areas of Africa, autonomous delivery vehicles have been deployed for medical supply distribution, effectively addressing the "last-mile" challenge in vaccine transportation.

Accessories

Four-Wheel Hub Motor Drive

A steer-by-wire chassis with four-wheel hub motor drive is a technology that replaces traditional mechanical linkages with electronic signals to enable precise control of vehicle movement and propulsion. It consists of five major subsystems: steer-by-wire, brake-by-wire, suspension-by-wire, throttle/drive-by-wire, and shift-by-wire.

Multi-Modal Sensor

A multi-modal sensor is a device capable of collecting various types of information simultaneously—such as data from LiDAR, 4D millimeter-wave radar, cameras, and ultrasonic sensors. By integrating data from different modalities, it enhances environmental perception and understanding capabilities.

Inertial Navigation System (INS)

An inertial navigation system is an autonomous navigation system that does not rely on external signals or emit energy externally. It performs well in various environments including air, land, and underwater, offering high data update rates, excellent short-term accuracy, and strong stability.

Relevant Projects

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Firefighting Robot

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Transport Robot

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Palletizing Robot

A palletizing robot is an industrial robot specifically designed for automated stacking of goods. It is primarily used to replace manual labor in efficiently stacking or de-palletizing items such as boxes, bags, bottles, and cans—either arranging them into neat stacks according to predefined rules (e.g., orderly rows, layered stacking) or dismantling existing stacks.

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Bird-repelling robot

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