With operations across 50 countries, MagicLab is pairing new robot systems with a platform strategy aimed at wider commercial adoption
Updated
May 1, 2026 2:16 PM
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A standing yellow robotic arm. PHOTO: UNSPLASH
MagicLab Robotics is a Chinese startup that describes itself as an embodied AI company. At an event in Silicon Valley this week, it outlined its global ambitions and introduced new products designed for real-world use. The company said its international business now spans more than 50 countries and regions, with overseas markets accounting for 60% of total sales in 2025. That gives some indication of how quickly Chinese robotics firms are expanding beyond their home market.
At the centre of the announcement was MagicLab’s latest product line-up. It included Magic-Mix, described as a foundational world model for robots, the H01 dexterous robotic hand and its humanoid robot, MagicBot X1. In practical terms, the company is trying to build robots that can better understand their surroundings and perform physical tasks with greater precision. That is the core idea behind embodied AI, where intelligence is combined with movement and interaction in the real world rather than limited to software alone.
MagicLab says it develops both hardware and software internally. Its product range includes humanoid robots and four-legged machines, with systems designed for factories, commercial services and home use. The company also outlined where it sees demand emerging. It listed sectors such as healthcare, manufacturing, logistics, security, public safety, education and household assistance.
That wide spread of target markets reflects a broader challenge in robotics. Building capable machines is only one part of the equation. The harder task is finding enough practical uses where customers are willing to pay for them.
MagicLab also used the summit to set out a long-term commercial goal. It projected a path toward US$14 billion in annual revenue by 2036 through wider adoption of embodied AI systems. It also announced what it calls the “Co-Create 1000 Initiative”, a plan to work with external developers and partner companies.
As part of that effort, the startup said it plans to invest US$1 billion over the next five years to build a developer ecosystem that would allow third parties to create new applications for its robots. The strategy mirrors what happened in smartphones and cloud software, where ecosystems often mattered as much as the original hardware. If robotics follows a similar path, companies that attract developers could gain an advantage over those selling machines alone.
For now, MagicLab’s announcement is less about immediate breakthroughs and more about positioning. The company is presenting itself not simply as a robot maker, but as a platform business seeking a role in the next phase of intelligent machines.
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Sensing technology is facilitating the transition of drone delivery services from trial phases to regular daily operations.
Updated
January 23, 2026 10:41 AM
A quadcopter drone with package attached. PHOTO: FREEPIK
A new partnership between Hesai Technology, a LiDAR solutions company and Keeta Drone, an urban delivery platform under Meituan, offers a glimpse into how drone delivery is moving from experimentation to real-world scale.
Under the collaboration, Hesai will supply solid-state LiDAR sensors for Keeta’s next-generation delivery drones. The goal is to make everyday drone deliveries more reliable as they move from trials to routine operations. Keeta Drone operates in a challenging space—low-altitude urban airspace. Its drones deliver food, medicine and emergency supplies across cities such as Beijing, Shanghai, Hong Kong and Dubai. With more than 740,000 deliveries completed across 65 routes, the company has discontinued testing the concept. It is scaling it. For that scale to work, drones must be able to navigate crowded environments filled with buildings, trees, power lines and unpredictable conditions. This is where Hesai’s technology comes in.
Hesai’s solid-state LiDAR is integrated into Keeta's latest long-range delivery drones. LiDAR stands for Light Detection and Ranging. In simple terms, it is a sensing technology that helps machines understand their surroundings by sending out laser pulses and measuring how they bounce back. Unlike GPS, LiDAR does not rely solely on satellites to determine position. Instead, it gives drones a direct sense of their surroundings, helping them spot small but critical obstacles like wires or tree branches.
In a recent demonstration, Keeta Drone completed a nighttime flight using LiDAR-based navigation alone without relying on cameras or satellite positioning. This shows how the technology can support stable operations even when visibility is poor or GPS signals are limited.
The LiDAR system used in these drones is Hesai’s second-generation solid-state model known as FTX. Compared with earlier versions, the sensor offers higher resolution while being smaller and lighter—important considerations for airborne systems where weight and space are limited. The updated design also reduces integration complexity, making it easier to incorporate into commercial drone platforms. Large-scale production of the sensor is expected to begin in 2026.
From Hesai’s perspective, delivery drones are one of several forms robots are expected to take in the coming decades. Industry forecasts suggest robots will increasingly appear in many roles from industrial systems to service applications, with drones becoming a familiar part of urban infrastructure rather than a novelty.
For Keeta Drone, this improves safety and reliability. And for the broader industry, it signals that drone logistics is entering a more mature phase—one defined less by experimentation and more by dependable execution. Taken together, the partnership highlights a practical evolution in drone delivery.
As cities grow more complex, the question is no longer whether drones can fly but whether they can do so reliably, safely and at scale. At its core, this partnership is not about drones or sensors as products. It is about what it takes to make a complex system work quietly in real cities. As drone delivery moves out of pilot zones and into everyday use, reliability matters more than novelty.