Groundbreaking Debut: MINIEYE's Physical AI Subsidiary "YaoXing Dynamics" Launches Quadrupedal Robot

Stock News07-06

The company has officially unveiled its "Combo" full-link unmanned logistics closed-loop solution, featuring a wheeled quadrupedal robot developed by its subsidiary YaoXing Dynamics.

Leveraging its foundational autonomous driving technology and physical AI capabilities, MINIEYE has pioneered a solution integrating "unmanned vehicles + robots" to address the industry's persistent challenge of the "final meter," connecting logistics transport to doorstep delivery.

This launch marks the debut of YaoXing Dynamics' first embodied intelligence product and represents a crucial strategic step for MINIEYE in its evolution into a full-scenario physical AI technology enterprise, positioning the company to seize opportunities in a multi-trillion-dollar market.

Currently, the domestic logistics industry faces structural contradictions. On one hand, parcel volumes are projected to rise through 2026, while terminal labor costs continue to climb, squeezing delivery company profits with the triple pressures of hiring difficulties, high employee turnover, and management challenges.

On the other hand, while unmanned vehicles for medium/long-distance transport on open roads are relatively mature, their size and access limitations often prevent them from reaching the user's doorstep. Traditional wheeled robots are constrained by terrain adaptability, struggling with steps and curbs, while standard legged robots often lack sufficient travel efficiency.

The full-link unmanned logistics solution introduced by MINIEYE (ASX: 02431) directly targets this industry pain point. The XiaoZhu series of unmanned vehicles handle material transport, while the wheeled quadruped robot executes precise final-stage delivery, all seamlessly integrated and intelligently coordinated through a unified dispatch system.

This extends unmanned capabilities from warehouse sites to the user's doorstep, establishing an operational system that covers all scenarios, processes, and time periods.

The highlighted wheeled quadrupedal robot is built by YaoXing Dynamics, with MINIEYE serving as a core shareholder providing the underlying technological foundation and overseeing the entire closed-loop solution.

From the release video, the robot demonstrates both efficient travel and complex obstacle-crossing capabilities. On flat surfaces, it moves swiftly and stably using its wheel structure, suitable for intra-campus transport. When encountering terrain like lawns or stairs, it autonomously switches to a legged gait.

It also features a small turning radius, allowing it to navigate narrow campus paths and confined spaces, adapting to the diverse and complex environments of the final delivery stage.

Furthermore, equipped with dynamic balance adjustment and anti-tipover systems, the robot ensures absolute stability during loaded transport, enabling precise doorstep delivery and autonomous unloading, thus overcoming the scenario limitations of traditional unmanned equipment.

Public information indicates the robot has a maximum payload of 30kg, covering diverse delivery needs such as daily parcels, supermarket goods, and industrial small parts. It can continuously traverse 30cm stairs, climb single steps up to 80cm high, and stably navigate 45-degree slopes, showcasing impressive performance.

The body also features a splash-resistant design, operates in temperatures from 0 to 55°C, and with a battery life of up to 2 hours, it can reliably support multiple round trips within a single area, unaffected by regional temperature differences or variable weather.

For the logistics industry, the implementation of a full-link unmanned closed-loop solution opens further space for cost reduction and efficiency gains. In an era of high labor costs and increasing delivery time requirements, a fully unmanned operation from warehouse to door can significantly reduce reliance on manual labor.

It also enhances delivery stability and extends service hours through standardized operations, creating new value for customers.

This solution is backed by over a decade of technological accumulation from MINIEYE. Public information shows the XiaoZhu unmanned vehicle has already achieved "true mapless" L4 autonomous driving and is operational in 18 cities across the country, with a cumulative partnership scale nearing 10,000 units.

The development of the wheeled quadrupedal robot follows a path of extending intelligent driving technology and embodied capabilities, allowing MINIEYE to achieve cross-scenario product deployment with lower R&D costs and faster iteration, forming a unique advantage distinct from other native robotics companies.

Notably, this release is a key strategic move for MINIEYE in its deep and systematic layout within the physical AI sector. A recent announcement regarding the establishment of YaoXing Dynamics mentioned the company will focus on full-scenario physical AI technology R&D.

It aims to build a unified technological foundation covering indoor, campus, and urban open-road environments, planning a diverse product matrix including unmanned transport, wheeled quadruped robots, and inspection robots.

Coupled with previously established ecosystem partnerships with companies like Honor and Le Dong Robotics, MINIEYE is moving beyond the role of a single device or algorithm supplier, gradually building a comprehensive physical AI ecosystem.

As the physical AI wave sweeps through, true industry leaders must not only be the first to ground their technology but also create tangible commercial value. From deep expertise in L2+ front-load mass production, to rapid breakthroughs in L4 unmanned logistics, and now the construction of a full-link unmanned closed-loop, MINIEYE is propelling AI technology into the broader physical world.

The debut of the wheeled quadrupedal robot is just the beginning; physical AI is set to reshape the development landscape of logistics and many more industries.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Comments

We need your insight to fill this gap
Leave a comment