Robotics
Jun 30, 2026

The Gist
X Square Robot has reached a $2.8B valuation after securing four funding rounds, while Agibot celebrates producing 15,000 robots as the industry accelerates growth across manufacturing and logistics. Meanwhile, companies like morph are advancing soft robotics with embedded AI, SVT Robotics surpassed 4 billion transactions, and Richtech Robotics launched an AI-powered 24/7 streaming platform alongside a Las Vegas warehouse acquisition.
Today's Stories
- 1
X Square Robot raises $2.8B valuation with four funding rounds
X Square Robot, a Shenzhen-based embodied AI company, closed four consecutive financing rounds culminating in a Series C, bringing its valuation to more than $2.8 billion(約4500億円). The company plans to invest the funding in foundational research and core technologies to advance toward general-purpose embodied AI. X Square Robot is moving household robots from demos into real homes—it has partnered with 58.com to deploy AI-powered cleaning robots in Shenzhen and Beijing, and launched a "X Family Member Program" where robots live with families for up to one month. This real-world deployment creates feedback loops that improve the company's models, a potential signal that practical embodied AI systems are beginning to work in everyday environments.
The company introduced WALL-B, a foundation model built on its World Unified Model architecture, in April 2026. An open-source version, WALL-OSS-0.5, achieved over 80% autonomous completion on four of 17 real-robot tasks without post-training, suggesting progress toward robots that can generalize across multiple household tasks.
- 2
Don't Miss AirWise Solutions on the Public Safety Drone Review, July 7!
Don't Miss AirWise Solutions on the Public Safety Drone Review, July 7!
- 3
morph embeds AI into soft robotic cells for hardware-software fusion
London-based robotics startup morph emerged from stealth with backing from investors including 8VC, Copper, Qubit Health Capital, Valia Ventures, Blue Lion, Harvey Spevak (chairman of Equinox Group), and musician Pharrell Williams. The company has developed soft robotic cells that embed sensing and adaptive control directly into deformable materials, enabling real-time morphological change and stiffness adjustment. morph's approach challenges the industry assumption that hardware and software can be developed separately. By integrating AI models and continuous learning directly into soft materials, the company aims to create robots that sense, adapt, and respond to their environment in real time—a shift that could make robotics safer for human interaction and more practical for environments beyond industrial warehouses. The use of soft, deformable materials also promises better manufacturing scalability and cost efficiency.
morph is initially focusing on healthcare applications including athletic performance, injury prevention, and mobility support, with plans to scale across healthcare, automotive, and industrial safety. The company operates on a B2B model, positioning itself as a software, design, and fabrication partner for robotics developers working on problems that require deformable or soft components.
- 4
SVT Robotics platform hits 4 billion transactions milestone
SVT Robotics announced its Softbot Platform has surpassed four billion transactions, with current weekly volumes between 100 million to 130 million. The company expects to exceed eight billion lifetime transactions by the end of 2026. The platform captures transaction data across automation systems and enterprise software to give companies real-time visibility into operations and generate high-fidelity data needed for industrial AI applications. This data foundation is becoming critical as organizations apply AI to logistics and manufacturing.
The Softbot Platform is currently deployed across four continents at customer sites including DHL, and the company is tracking accelerating transaction volumes as demand for resilient automation infrastructure grows.
- 5
Agibot hits 15,000 robot milestone as production accelerates
Agibot, a robotics company founded in February 2023, has reached production of its 15,000th humanoid robot (the Agibot G2) in June 2026. The company scaled from 1,000 units to 5,000 in roughly one year, then doubled to 10,000 in just three months—a more than fourfold acceleration—before reaching 15,000. The milestone signals that embodied AI robots are moving from proof-of-concept into real production and deployment. Agibot ranked first globally in humanoid robot shipments in 2025 with 5,168 annual units and a 39 percent share of the global market. Sustained production at scale requires not only product development but also reliable supply chains, standardized manufacturing, and field deployment capability, which Agibot has demonstrated by completing approximately 100 cumulative hours of factory livestream operations with the G2 working alongside line workers in consumer electronics manufacturing.
The industry is moving beyond single-robot demonstrations toward scaled production and real-world application. Agibot's ability to sustain large-scale production and deployment is now becoming a measure of industrialization capability in the embodied AI sector.
- 6
Richtech Robotics launches 24/7 AI robot streaming platform, acquires Las Vegas warehouse
On June 18, 2026, Richtech Robotics (NASDAQ:RR) launched a live, 24/7 interactive streaming platform centered on ADAM, its AI-powered humanoid robot built on NVIDIA's Isaac robotics platform. Users worldwide can chat with ADAM in real time and observe how it responds to human interaction. The company separately closed acquisition of a 79,325 square-foot warehouse in Las Vegas, Nevada on May 29, 2026 for approximately $21.2 million(約34億円), with initial data center operations expected to begin in fall 2026. The streaming platform puts Richtech's robotics portfolio—which includes robots for food delivery, drink preparation, and floor cleaning—in front of a global audience, while the Las Vegas facility provides physical infrastructure for GPU computing, robotics data collection, and model training to support scaling. The company positions both moves as foundational for serving hospitality, automotive, and manufacturing customers seeking to address labor shortages.
Richtech Robotics expects its expanded headquarters to occupy roughly 20,000 square feet of the Las Vegas facility by year-end 2026, with room for future compute expansion; the company also frames the facility as supporting World Action Model training.
What to Watch
As robots move from laboratory prototypes toward real-world deployment at scale, watch whether foundation models like WALL-B can continue improving their generalization across diverse household and industrial tasks, and whether companies like Agibot and Richtech Robotics can sustain the manufacturing capacity and infrastructure needed to transform embodied AI from exciting demonstrations into reliable, widespread automation solutions. The convergence of specialized players like morph—focused on soft robotics for healthcare—with platforms like Softbot gaining traction across continents suggests the robotics industry is fragmenting into domain-specific solutions rather than one-size-fits-all robots, a shift that could accelerate practical adoption over the next few years.
Sources
- X Square Robot brings its valuation to $2.8B with four consecutive funding rounds
- Don’t Miss AirWise Solutions on the Public Safety Drone Review, July 7!
- Soft, robotic cells from morph embed physical AI into hardware
- SVT Robotics surpasses four billion transactions on its Softbot automation platform
- Agibot reaches new milestone as its 15,000th humanoid robot rolls off production line
- Richtech Robotics (RR) Launches Live, 24/7 Interactive Streaming Platform Built Around ADAM, The Company’s AI-Powered Humanoid Robot
- NVIDIA (NVDA) Among The Most Promising Robotics Stocks; Here’s Why
- Insights behind Kinisi’s acquisition by Bear Robotics
- South Korea to spend $1T on more memory chip production and humanoid robots
- How AI Navigation is Improving the Performance of Robotic Pool Cleaners
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