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Recently, Shaanxi Automobile Holding Group Co., Ltd. (hereinafter referred to as “Shaanxi Heavy Truck”) and KargoBot.ai held a grand signing ceremony in Xi’an for a strategic cooperation agreement on future transportation robots, involving 200 vehicles. The two parties joined hands again to deepen their strategic cooperation, focusing on technological integration and resource complementarity to accelerate the R&D iteration and marketization of KargoBot’s future transportation robots. This will inject strong momentum into the intelligent and green upgrading of my country’s logistics and transportation industry, jointly writing a new chapter in the development of smart logistics.
Currently, the global supply chain is at a critical juncture of deep restructuring and intelligent transformation. 2026 will mark a significant opportunity for the logistics industry to transform towards efficiency, resilience, and sustainability. The deep application of artificial intelligence and autonomous driving technologies is accelerating the leap from “human control” to “human-machine collaboration” and even “unmanned” logistics and transportation. Against this industry backdrop, Shaanxi Heavy Truck and KargoBot.ai, leveraging their respective core advantages, have deepened their strategic partnership. This is not only a concrete practice in response to the national policy of “deepening and expanding ‘artificial intelligence+'”, but also a strategic choice for both parties to seize the intelligent logistics track and achieve high-quality development.
As a leading manufacturer of large-scale commercial vehicles in my country, Shaanxi Automobile Heavy Truck has, since its establishment in 1968, accumulated over half a century of experience and has developed into an industry benchmark with 25,000 employees, total assets of 92 billion yuan, and a brand value of 56.869 billion yuan. It has been listed among the “Top 500 Most Valuable Brands in China” and the “Top 500 Chinese Enterprises,” and has won numerous honors, including “National Excellent Intelligent Factory” and “First Prize of the National Science and Technology Progress Award.” In the fields of intelligent connectivity and new energy, Shaanxi Automobile Heavy Truck strives to be a major force in developing new quality productivity. It integrates innovation around five major directions: vehicle integration, energy saving, intelligence, lightweighting, and safety. It possesses 1,170 patents in new energy and intelligent connectivity technologies, developed my country’s first LNG new energy heavy truck, holds the first domestic heavy truck autonomous driving test license, achieved mass production of assisted driving heavy trucks, and realized batch commercial operation of intelligent driving in multiple scenarios, shaping a leading brand image in the industry for “fuel saving, gas saving, electricity saving, and cost saving.” Meanwhile, Shaanxi Automobile Heavy Truck has built a marketing and service network covering more than 150 countries and regions worldwide, with 40 overseas marketing regions, over 200 overseas first-tier dealers, and more than 390 overseas service outlets. It has created an integrated and innovative industrial ecosystem of “manufacturing + service + internet + finance,” and pioneered the “TCO managed” one-stop concierge service. It possesses strong capabilities in vehicle manufacturing, full-channel coverage, and full lifecycle services, providing solid industrial support and guarantees for the implementation of cooperative projects.
Karl Power, founded in February 2021, is a leading autonomous driving company aiming to achieve a closed loop of commercialization and large-scale operation of unmanned freight technology. It holds a leading global position in unmanned truck technology capabilities and operational scale. The company focuses on breakthroughs in artificial intelligence and the independent development of autonomous truck products. It has built full-stack development capabilities for autonomous truck software and hardware systems, and innovatively proposed a hybrid intelligent L5 solution. Through a hybrid unmanned fleet model of “one L2-level assisted driving vehicle with a driver in front + multiple L4-level autonomous driving unmanned vehicles behind,” it improves scenario processing capabilities by 50 times and safety indicators by 20 times, effectively solving the long-tail problem and operational challenges faced by single-vehicle autonomous driving. Based on its profound technological accumulation, Carl Power’s “Multi-task Deep Learning Heavy Truck Autonomous Driving Trajectory Planning” project was selected for the “2025 Automotive Artificial Intelligence Application Case Collection,” becoming the only autonomous driving project selected in the field of driving automation.
© SHACMAN BY MRWL
