At the 2024 Beijing International Automotive Exhibition, MINIEYE (02431) unveiled a range of new products, headlined by the launch of the XiaoZhu T5 Pro, China's first genuinely "map-free" Level 4 autonomous logistics vehicle. The company also presented the BamBam Lobster Assistant, an intelligent cabin companion, and a comprehensive range of smart driving domain controllers. At the exhibition, MINIEYE demonstrated its full product line's deep integration with AI across three core strategic pillars: AI for Mobility, AI for Logistics, and AI for Soul, signaling its strong commitment to establishing a new paradigm in automotive technology.
The XiaoZhu T5 Pro represents a pioneering development as China's inaugural "truly map-free" L4 unmanned delivery vehicle. The logistics sector is rapidly advancing towards greater intelligence, efficiency, and sustainability, with autonomous vehicles playing a central role in this transition from pilot programs to large-scale commercial use. However, traditional technological approaches have long hindered progress due to challenges like complex deployment, high costs, and slow adoption. At the Beijing Auto Show, a key global industry event, MINIEYE's launch of the XiaoZhu T5 Pro, with its revolutionary technical breakthroughs and commercial viability, stands out as one of the few autonomous vehicle introductions, powerfully ushering the unmanned logistics industry into a new commercial era defined by "true map-free" operation.
As the culmination of MINIEYE's expertise in physical AI, the XiaoZhu T5 Pro is not merely an iterative upgrade but a revolutionary product designed for the massive unmanned logistics market. Its core breakthrough lies in using disruptive technology to redefine the commercial logic of autonomous logistics. The vehicle's "map-free capability" delivers qualitative leaps in four key areas: system performance, scenario generalization, deployment efficiency, and total lifecycle cost.
Traditional unmanned logistics vehicles require extensive high-definition map data collection and adaptation for each deployment location, often leading to order-to-delivery cycles stretching several weeks, which severely hampers commercialization. The XiaoZhu T5 Pro's mature map-free technology dismantles this barrier, drastically compressing the deployment cycle to just hours. This enables rapid deployment from vehicle delivery to operational readiness, achieving a "use immediately upon purchase" model that significantly enhances order fulfillment efficiency and delivers swift commercial value to customers.
Leveraging the environmental adaptability and scenario generalization enabled by its map-free technology, the XiaoZhu T5 Pro does not require pre-adapted maps for specific areas. It can easily navigate complex road conditions such as village lanes, construction zones, and mixed traffic environments. This substantially improves its capability in unstructured scenarios, precisely meeting the needs of flexible, high-immediacy logistics delivery. It overcomes the limitations of traditional autonomous vehicles regarding specific scenarios and geographies, achieving full-scenario adaptability and all-terrain operability—truly capable of driving "anywhere"—thereby expanding the market boundaries for unmanned logistics.
Building on the "use immediately, drive anywhere" foundation, the T5 Pro's map-free capability eliminates the substantial costs associated with HD map collection and updates. By reusing pre-installed passenger vehicle autonomous driving kits, it achieves significant cost optimization. Furthermore, it removes the need for heavy investment in manpower for map maintenance, substantially reducing long-term operational costs. This brings the total cost of ownership for the unmanned logistics vehicle to a new industry low, offering a compelling cost-performance advantage essential for mass adoption.
These core breakthroughs also extend the T5 Pro's advantages to international markets. It effectively navigates challenges related to overseas HD mapping regulations and approval processes, efficiently adapts to foreign traffic laws and standards, and significantly reduces cross-border deployment costs. This enables seamless operational capabilities across different countries and regions, clearing obstacles for the global, large-scale deployment of Chinese autonomous vehicle technology.
Benefiting from profound technical expertise and a clear commercialization strategy, MINIEYE has achieved significant deployment success in the unmanned logistics sector. To date, XiaoZhu vehicles have been successfully deployed in 18 cities including Shenzhen, Guangzhou, and Changsha, with a cooperative scale exceeding 7,000 units, effectively serving diverse logistics scenarios such as express delivery, cold chain, agricultural distribution, and auto parts. The company has also completed its first exploratory deployment of L4 business overseas, with XiaoZhu vehicles soon to be delivered to regions including the Middle East, Australia, and Southeast Asia, robustly validating the technical maturity and commercial feasibility of its L4 products.
An efficient AI data intelligence engine drives a two-way empowerment evolution between L2 and L4 systems. As the only listed company that has scaled up from L2 to L4 and achieved large-scale commercial validation, MINIEYE leverages the reasoning and interaction capabilities of large AI models to build a bidirectional evolution system. This system uses L2 mass-production experience to empower L4 development, while L4 long-tail scenario data, in turn, feeds back to enhance L2+ systems. Within this framework, unmanned vehicles and passenger cars serve as the physical carriers for AI technology, while domain controllers act as the computational hubs for AI to understand the physical world and make autonomous decisions.
Building on over a decade of experience in front-load mass production engineering and supply chain management, MINIEYE has established a comprehensive smart driving domain controller matrix covering "lightweight parking-pilot integration," "mid-to-high-end intelligent driving," and "L4-level unmanned driving." At the auto show, it launched the iPilot 4 Lite for the passenger vehicle market to accelerate the popularization of smart driving, and the iPilot 4 Max domain controller, specifically designed for the XiaoZhu T5 Pro, addressing the industry challenge of balancing high performance with automotive-grade reliability.
The continuous iteration of this full-domain controller product matrix is fundamentally supported by MINIEYE's self-developed AI Data Intelligence Engine. This engine serves as the digital backbone for the company's ongoing evolution in physical AI and is the core link enabling the integration and accumulation of massive data from both L2 and L4 scenarios. Driven by AI, L2 passenger cars and L4 unmanned vehicles collect vast amounts of data from regular road conditions and capture extreme scenario data. All this data is fed back, cleaned, trained, and iterated upon, collectively enhancing the autonomous driving algorithms. Each completed data cycle refines the physical AI's understanding of road rules, dynamic interactions, and extreme conditions, continuously improving the algorithm's generalization capabilities and iteration speed.
This L2+L4 bidirectional evolution mechanism not only accelerates the mass-production deployment of MINIEYE's comprehensive smart driving products but also breaks down the traditional separation between assisted driving and fully autonomous technologies. It ensures the stability and reliability of MINIEYE's physical AI iteration, creating a virtuous cycle of "shared technology roots, complementary scenarios, and symbiotic value." To date, MINIEYE has served over 40 automobile manufacturers, secured 43 new projects in 2025, and entered a phase of full-scale expansion in its front-load business. As the industry moves towards the large-scale adoption of L3/L4 autonomous driving, MINIEYE's AI Data Intelligence Engine will further drive technological iteration and product upgrades.
Under its comprehensive AI strategy, MINIEYE is closely aligned with the trend of smart cabins evolving from functional to scenario-based and emotional experiences. At the Beijing Auto Show, it launched the BamBam Lobster Assistant, an intelligent cabin companion powered by a large model, with the core breakthrough being the integration of Openclaw technology. This defines a new paradigm for AI cabin interaction. Based on deep insight into users' diverse needs during travel, MINIEYE uses Openclaw as a "gateway" between the cabin and the external world. Through deep tool invocation, it breaks the traditional boundaries of cabin capabilities, enabling the BamBam Lobster Assistant to seamlessly coordinate with office and home smart devices, creating three core scenarios: worry-free business travel, comfortable homecoming, and immersive entertainment.
For business travel, BamBam transcends traditional voice announcements. Using powerful AI logical reasoning and multi-modal interaction, it allows users to manage complex workflows inside the car using natural speech, acting as an efficient office assistant. In the homecoming scenario, a simple voice command after entering the car can remotely activate smart home devices in advance, unlocking a comfortable homecoming experience. At the auto show, MINIEYE also upgraded BamBam's entertainment module with new interactive games like "Undercover," catering to social needs within the cabin and adding fun and emotional value to fragmented time spent waiting or resting.
In MINIEYE's product philosophy, BamBam is not merely a voice assistant but a genuine multi-modal cabin intelligence. By integrating in-cabin DMS and OMS sensors with onboard computing power, BamBam utilizes visual perception to real-time identify the user's identity, fatigue level, and even emotional state. Fusing this spatial and status information with its language model enables a shift from "passive execution" to "active service." The introduction of the Lobster Assistant further extends BamBam's capabilities to the world outside the vehicle, making the smart cabin a critical link connecting life and work.
Concurrently, MINIEYE exhibited several smart cabin perception hardware products, including the iCabin 1X DMS integrated unit and DMS/OMS cameras. These products cover comprehensive cabin safety functions like fatigue monitoring, distraction detection, and dangerous driving behavior recognition. They also provide high-quality perceptual conditions for optimizing BamBam's interaction logic and service accuracy. Importantly, these products strictly comply with global regulatory standards, possessing robust capabilities for international market compliance, covering major requirements such as ADDW, DDAW, E-NCAP, and A-NCAP. Driven by both AI technological iteration and compliance capability upgrades, MINIEYE has proactively begun R&D for L3 regulation-related DMS features, continuously strengthening its cabin safety technology system in preparation for the era of high-level autonomous driving.
In summary, MINIEYE's showcase at the Beijing Auto Hall, featuring its full range of significant new products, utilized this top-tier global platform to comprehensively display the tangible results and core strengths of its three strategic directions: AI for Mobility, AI for Logistics, and AI for Soul. This also underscored the company's strong determination to fulfill its mission of improving road safety, optimizing the driving experience, enhancing traffic efficiency, and revolutionizing the industry ecosystem. Standing at the forefront of the intelligent transformation in the automotive industry, MINIEYE will continue to use AI as its core driving force, constantly pushing the technological boundaries across mobility, logistics, and cabin scenarios, enriching its product portfolio, and creating sustainable, real value for global clients and the industrial ecosystem, thereby aiding the automotive sector's transition into a safer, more efficient, and smarter new era.
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