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CookooAI’s Full-Stack Remote Driving Solution: Enabling Large-Scale Implementation of Unmanned Opera
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2026-08-24 15:48:57
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Amid the wave of automation, remote driving technology is moving beyond the laboratory to become a key driver of cost reduction and efficiency improvements in sectors such as mining, ports, and industrial park logistics. While the market offers numerous s
As autonomous driving technology gradually moves from the laboratory to real production scenarios, remote driving is no longer just a technical alternative, but an indispensable safety capability for large-scale operations of unmanned operations.
CookooAI is deeply involved in the full-stack remote driving technology. With its complete vehicle-cabin-cloud integration solution, it has completed a large number of engineering verifications in complex unstructured environments and delivered replicable and mass-produced remote driving product capabilities to the industry. This article summarizes 9 typical application scenarios and takes you to find out:
CookooAI is deeply involved in the full-stack remote driving technology. With its complete vehicle-cabin-cloud integration solution, it has completed a large number of engineering verifications in complex unstructured environments and delivered replicable and mass-produced remote driving product capabilities to the industry. This article summarizes 9 typical application scenarios and takes you to find out:
Last-Mile Logistics & Delivery | Unmanned Delivery / Vending Vehicles
Targeting "last-mile" urban logistics and retail scenarios, Bugu Niao Tongchuang provides a comprehensive, full-stack remote driving solution for unmanned delivery and vending vehicles. Supporting a many-to-many scheduling architecture, the solution establishes remote driving as the primary mode of routine operation, enabling the remote takeover and coordinated management of vehicle fleets. This ensures the stable operation of unmanned delivery and retail services at locations such as transit hubs and urban business parks, guaranteeing the continuous delivery of last-mile logistics services.
Smart Sanitation | Remote Operation of Street Sweepers
For semi-enclosed low-speed operation scenarios such as factories, parks, scenic spots, and campuses, we have completed the customized development of remote driving systems for a variety of cleaning vehicles from an OEM and a sanitation vehicle manufacturer. CookooAI outputs a full set of software and hardware products on the vehicle end, cloud end, and cockpit end to solve various working conditions challenges in complex factory areas and road cleaning operations, improve the overall operating efficiency of L4-level driverless cleaning vehicles, and help reduce costs and increase efficiency in sanitation operations.
Industrial Facilities | Automated Forklifts
For heavy-duty autonomous forklift operations in factory warehouses, the remote driving system provides real-time, comprehensive monitoring and emergency takeover capabilities. In the event of unexpected situations—such as blocked aisles, irregular cargo, or loss of navigation signals—operators can quickly intervene and take control, ensuring the continuity of material handling and stacking operations. Simultaneously, the system verifies operational movements (such as lifting and steering) in real time to prevent damage to cargo and equipment, thereby achieving the goal of "zero-collision" safe operation.
Smart Ports | Autonomous Container Trucks
In collaboration with OEMs, shipping companies, and network operators, a 5G smart port project was implemented at a port in Xiamen. As one of the earliest large-scale commercial deployments of L4 autonomous container trucks in China, remote driving serves as the cornerstone of safety for the entire system. CookooAI provided vehicle-side controllers, camera hardware, and a comprehensive SDK suite to enable seamless stitching of feeds from six cameras for 360-degree panoramic monitoring; this solution fortifies safety for container transfers and bridges the "last mile" of port logistics.
Mining Site | Unmanned Mining Truck
Tailored to the operational needs of Sinotruk mining trucks, this solution delivers a comprehensive, one-stop remote driving system that enables fully unmanned "load-haul-dump" operations across the entire mining workflow. The entire hardware and software ecosystem is developed in-house, featuring customized multi-camera surround-view imaging to eliminate blind spots and a unified human-machine interface (HMI) standard across vehicle models—eliminating the need for remote operators to constantly adapt to different interfaces. Designed to handle complex terrain and harsh, all-weather operating conditions, the system realizes a new mining operational model characterized by "human supervision with unmanned execution."
Smart Transportation | Autonomous Buses
In collaboration with a telecom operator and an automaker, the project has been implemented at the Yizhuang Intelligent Connected Vehicle Base and through an autonomous bus initiative in the Xiong'an New Area. Leveraging 5G-A and C-V2X network environments, the project enables 360-degree panoramic monitoring and multi-vehicle coordinated scheduling. By employing a "remote monitoring plus vehicle dispatch" operational model, it validates the feasibility of low-latency remote driving in urban public transport and establishes a replicable model for smart urban transportation deployment.
Smart Ranch | Unmanned Feed-Pushing Vehicle
Designed for the complex, unstructured operating environments of ranches—and addressing unexpected scenarios such as cattle obstructing the path, sensor failures, and route blockages—this solution establishes a highly available, low-latency, and robust remote driving system. The CookooAI solution integrates a software platform with remote driving hardware terminals, ensuring clear visibility, precise control, reliable stopping, and rapid switching capabilities, thereby guaranteeing the stable and dependable operation of unmanned feed-pushing equipment.
Port Heavy-Duty Operations | Unmanned Cranes
Designed for unmanned crane operations, this solution addresses critical scenarios such as autonomous driving anomalies and path deviations. The remote driving system achieves a video transmission latency of less than 180ms and incorporates robust strategies for unstable network conditions and anomaly handling. It ensures rapid connectivity, ultra-low latency, and precise control, thereby enhancing fault tolerance and enabling fully unmanned, all-scenario operations for heavy-duty port equipment.
Research & Teaching | Laboratories and Universities
Empowering the OpenLab facility of a telecommunications operator, as well as research and teaching environments at various universities and vocational colleges. The initiative delivers a comprehensive vehicle-to-cockpit remote driving solution and establishes environments for remote driving and digital twin simulation testing, thereby reducing the risks and costs associated with real-vehicle testing; it also fills the gap in practical training for autonomous driving and ensures a steady supply of hands-on technical talent to the industry.
From compact low-speed vehicles to hundred-ton heavy-duty engineering equipment, and from semi-enclosed industrial parks to high-risk operational sites like ports and mines—these diverse scenarios share a unified technological foundation while presenting distinct engineering challenges. The true difficulty in the practical deployment of remote driving lies not in demonstrating a single prototype, but in addressing real-world issues such as network fluctuations, variable environments, diverse vehicle types, and large-scale operations and maintenance. Bugu Niao Tongchuang remains committed to full-stack in-house development, embedding technical expertise across the entire value chain—spanning hardware, algorithms, software, and engineering delivery—to transform remote driving from a mere demonstration feature into an essential capability for the commercialization of the unmanned industry.
Looking ahead, Bugu Niao Tongchuang will continue to refine its remote driving technology, collaborate with more industry partners to expand into diverse real-world operational scenarios, and accelerate the large-scale deployment of unmanned driving solutions.
Looking ahead, Bugu Niao Tongchuang will continue to refine its remote driving technology, collaborate with more industry partners to expand into diverse real-world operational scenarios, and accelerate the large-scale deployment of unmanned driving solutions.
