Humanoid Robot Concept Stock Watch | XIAOMI-W (01810.HK) Edged Down 0.61%, with Domestic Robot Industry Catalysts Coming Thick and Fast
NewTimeSpace News, on August 13, 2026, the robot theme saw volatile trading, with XIAOMI-W (01810.HK) opening lower and trending weaker. As of 13:12, the company's quote stood at HKD 26.200, down a slight 0.61%.
On the news front, on August 13, Lu Weibing, Partner and President of Xiaomi Group, posted that the Xiaomi HyperOS 4 Beta version will be released soon. This time, there will be no launch event; instead, the experience will be continuously optimized through more user feedback. At 11:00 this morning, recruitment for the first batch of Beta-version devices will open in the Xiaomi Community.
In addition, the latest industry research data shows that in the first half of this year, global humanoid robot shipments totaled approximately 19,100 units, more than triple the 5,100 units shipped in the same period last year, and China's share of global humanoid robot shipments reached over 97%.
Huafu Securities pointed out that entering 2026, catalysts for the domestic robot industry have been intensive; apart from accelerated capitalization, the implementation on the application side is also expected to accelerate this year. Domestic robots are formally moving from "technology concept" to "productivity tool", and companies with core technology and scenario-implementation capabilities are expected to benefit first.
XIAOMI-W(01810.HK) Leverages its massive AIoT ecosystem network and full-stack proprietary AI algorithms to advance the collaborative deployment of consumer- and industrial-grade embodied AI devices. Algorithms for its CyberOne humanoid robot and CyberDog bionic quadruped robot undergo continuous iteration. The underlying multi-modal machine vision, force-control algorithms, and automated scheduling logic are deeply integrated into the "dark factory" operations and flexible manufacturing workflows of Xiaomi's smart factories, establishing a complete closed-loop model of "algorithm + hardware + proprietary manufacturing application scenarios."
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