Asratec Corp アスラテック株式会社
SoftBank-affiliated Japanese company developing robot control software V-Sido OS for humanoid and service robots.
Asratec Corp, established in 2013 and headquartered in Roppongi, Tokyo, is a SoftBank Group subsidiary specializing in robot control software. Its flagship product, V-Sido OS, is a versatile real-time control system for bipedal humanoid and service robots that manages balance, motion generation, and multi-actuator coordination across diverse robot platforms. V-Sido supports joystick, smartphone, and web-based interfaces.
Asratec also offers the Asratec Cloud Robot System for remote robot operation via browser, and serves as exclusive Japanese distributor for the RICE autonomous delivery robot. The company provides development support, integration consulting, and licensing for robot manufacturers.
Primary type & automation activities this supplier delivers:
V-Sido OS
Real-time robot control operating system for humanoid and multi-joint robots.
Asratec Cloud Robot System
Cloud-based remote robot operation and management platform.
Contact Asratec Corp
WEBSITE
https://www.asratec.co.jpPHONE
2018.04.26HEADQUARTERS
Japan
Company Facts
Founded
2013
Primary Role
Software/Algorithm
Company Size
-
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
-
Funding Total
-
Humanoid Robots: Moving Beyond Demonstrations to Real-World Profitability
The humanoid robotics sector has long promised productivity, with expectations for significant sales by 2026. Humanoid robots are now capable of walking, sorting components, and performing increasingly complex industrial tasks. However, industrial buyers are shifting their focus from impressive demonstrations to the critical question of return on investment. As the industry transitions from prototypes to production environments, the evaluation criteria are evolving. Successful demonstrations are no longer sufficient; manufacturers must now prove operational availability, throughput, safety, integration costs, and actual customer willingness to pay for their robots' work. Data from September 2026 indicates that this transition is underway, but only a few companies report significant commercial deployments. Agility Robotics stands out as a strong example, with its robot Digit commercially deployed by GXO Logistics since 2024 under a multi-year Robots-as-a-Service agreement. Digit has moved over 100,000 bins at GXO's Flowery Branch site, showcasing its role in a repetitive logistics process rather than a staged demonstration. In 2026, Agility announced over $300 million in multi-year contractual orders for Digit v5, signaling that industrial clients are ready to invest significantly in humanoid automation.
À la une Humanoide IA Industrie Robotique automatisation industrielle.
China's Humanoid Robot Industry Faces Challenges on Path to Commercial Success
China's humanoid robot industry is transitioning from impressive demonstrations to practical applications in everyday environments. Companies are exploring roles for these robots in workplaces and services, with a significant lead over U.S. counterparts in terms of speed and scale. In the first half of 2026, five Chinese companies accounted for 86% of global humanoid shipments, highlighting their rapid growth. The industry's success hinges on three key factors: cost, capital, and a vast testing ground for commercialization. With a robust manufacturing base and significant funding, Chinese companies are well-positioned to innovate and lower prices. However, challenges remain, including the need for reliable AI systems and integrated software, as well as the ability to convert physical capabilities into sustainable demand. Looking ahead, the commercialization of humanoid robots is still in its early stages, with limited large-scale orders. Experts emphasize the importance of repeat orders and customer payback periods as indicators of success. As the industry evolves, addressing safety, security, and supply-chain vulnerabilities will be crucial for gaining acceptance in global markets.
Heavy Hitters Highlight News
Supply Chain Challenges Hinder Humanoid Robot Development Despite AI Advances
The primary bottleneck for humanoid robots is not just AI model limitations but also supply chain constraints. A recent McKinsey report highlights that critical hardware components such as precision motor systems and tactile sensing are high-risk areas that won't automatically improve with algorithm upgrades. Renesas Vice President Ivo Marocco emphasizes that the complexity of ecosystem and system integration poses a greater challenge than solving AI issues. Despite expectations for humanoid robots to become mainstream, Omdia data forecasts only 13,000 units shipped globally by 2025, a figure that pales in comparison to automotive and industrial automation markets. Renesas aims to cover 30% of the bill of materials (BOM) costs for humanoid robots, with a long-term goal of reaching 70%. However, this target is often misunderstood as immediate market share, when in fact it represents a future product mix goal. The transition from 30% to 70% BOM coverage faces significant hurdles, particularly in high-risk hardware components. While automotive and industrial components can be repurposed, they do not address the unique challenges of humanoid robots. Renesas is focusing on system-level solutions and has established a physical AI and robotics lab in Beijing to support customers through the entire engineering validation process. The company anticipates a compound annual growth rate of 40% in the physical AI market by 2030-2035, although consumer humanoid robots are expected to take over five years to achieve significant market presence.
Humanoid Robots Supply Chain AI Hardware Components
CyberHero Robot League Launches with Arena Battles and Tech Evolution Challenges
The CyberHero Robot League has officially launched in Riyadh, Saudi Arabia, marking the first global humanoid robot sports league and the Middle East's inaugural humanoid robot combat event. The league plans to host its first season across eight cities worldwide, covering regions in the Middle East, Europe, the Americas, and Asia, utilizing the EngineAI T800 humanoid robot, which stands 1.73 meters tall and weighs between 75-85 kilograms. This event is significant as it aims to generate valuable combat data that could drive rapid advancements in hardware and algorithms. However, experts caution that while the league can create entertainment value, it may not be a primary source for breakthroughs in humanoid robot technology. The closed environment of the arena and the specific combat actions limit the applicability of the data to real-world scenarios, making it challenging to transfer insights to general-purpose robotics development. Looking ahead, the CyberHero league faces critical challenges, including the high costs associated with hardware wear and tear, which may restrict technological exploration. The league's success will depend on its willingness to allow high-risk autonomous behaviors in robots and the standardization and openness of the data generated from the events. Without these, it risks becoming merely a showcase rather than a true testing ground for embodied intelligence evolution.
Humanoid Robots Robot Competitions AI Robotics Technology
Robot Manufacturing Landscape Shifts as 150 Companies Enter Market Amid Declining Value
As of 2026, funding in the embodied intelligence sector has approached 15 billion yuan, with seven domestic companies now valued over 10 billion yuan, a significant increase from none a year prior. However, over 77% of robotics firms remain in early funding stages, indicating a highly competitive environment where most players lack access to the market. The rapid growth in funding, from 2.8 billion yuan in 2021 to an expected 23.6 billion yuan in 2025, paints a picture of a booming industry. Yet, analysts warn that more than 50% of commercial orders are primarily for public relations rather than productivity. Efficiency remains a critical issue, with leading robots only achieving about 45% of human worker efficiency. Looking ahead, the Ministry of Industry and Information Technology plans to deploy over 10,000 humanoid robots in commercial settings by the end of 2026. This initiative reflects a shift towards practical applications in factories rather than theoretical advancements, as companies like Tesla and XPeng aim for mass production of robots with clear timelines.
Humanoid Robots Robotics Industry AI Technology Manufacturing Automation
Yushu Robot G1 Showcases Autonomous Fighting, Yet Concerns Persist
Yushu's G1 robot recently demonstrated autonomous fighting capabilities, executing punches and evasive maneuvers without human control. This 38-second video, released on September 7, claims to be the world's first real-time autonomous humanoid robot combat. However, independent analysis revealed console logs suggesting that AI processing may occur on an external computer, raising questions about the true autonomy of the G1. The distinction between 'fully autonomous' and a system relying on external commands is crucial. Yushu has not provided technical documentation to clarify this issue, leaving the term 'fully autonomous' in question. The UnifoLM-X2-1.0 model, which powers the G1, predicts opponent movements and plans actions accordingly, but lacks independent latency benchmarks to validate its performance. While combat scenarios serve as effective stress tests for robotic systems, the leap from successful fighting to reliable operation in dynamic environments remains unproven. A previous incident involving the G1 injuring a child during a demonstration highlights urgent safety concerns. As robots become more capable, the adequacy of safety regulations and frameworks for humanoid robots is increasingly questioned, emphasizing the need for clear guidelines on their operational parameters.
Humanoid Robots AI Robot Safety Autonomous Systems
Poland's Robot Demonstration Highlights Urgent Need for AI Responsibility Framework
On September 7, an unusual demonstration took place in Warsaw, Poland, featuring around 30 humanoid and quadruped robots. These robots gathered in front of the Polish Digital Affairs Department, waving flags and broadcasting slogans like 'Defend Jobs' and 'Regulate Now.' The event was organized by a Polish group called Democratism, aiming to spark discussions on the impact of AI and robotics on the labor market. The demonstration, while seemingly initiated by robots, was actually a human-organized PR event, led by Grzegorz Kuliś, who is the CIO of Delta Robots and CEO of a staffing company. This raises questions about the commercial motivations behind the event. Beyond its performative nature, the protest touches on a pressing issue: as AI systems increasingly participate in economic and social activities, who is held accountable for any harm they cause? This question is igniting policy debates globally. In June 2026, Argentine President Milei proposed a bill to create a new legal category for 'non-human companies' operated by AI or robots. However, this proposal has faced opposition, including from historian Yuval Noah Harari, who warns that granting legal personhood to AI could lead to a lack of accountability. A recent poll indicated that 77% of American voters believe AI should always be viewed as a human-controlled tool, highlighting the need for governance structures as AI systems act more autonomously.
AI Accountability Robot Protests Labor Market Impact Legal Personhood Technology Governance
Tactile Sensing Technology Sees Significant Growth in Robotics Sector
Tactile sensing technology is gaining prominence in the robotics industry as humanoid robots transition from exhibition spaces to factory floors. Since 2026, funding in the tactile sensing sector has exceeded 7 billion yuan, with the penetration rate of tactile sensors in commercial humanoid dexterous hands rising from 20% to over 60% this year. This rapid growth is notable within the robotics components sector, highlighting a shift in robotic applications. While visual-language-action models have enhanced robots' environmental understanding and task planning, precision assembly and flexible grasping require tactile feedback for effective force control and slip detection. According to Qianjue Robotics founder Ma Daolin, tactile sensing is essential for high-precision industrial operations. The evolution of technology supports this need, as Qianjue Robotics' VTLA model integrates tactile modalities into traditional frameworks, enabling real-time perception of deformation, texture, and force distribution during contact. Their comprehensive tactile solution expands sensing from fingertips to palms, achieving a sensor density of 125 points per square centimeter and a force accuracy of 0.03 Newtons. As hardware costs decrease and data accumulation accelerates, tactile sensing is becoming a necessary capability in real-world operational scenarios.
Tactile Sensors Humanoid Robots Robotics Technology Industrial Automation
Xpeng Motors Launches Automated Production Line for Humanoid Robot IRON in Guangzhou
In September 2026, Xpeng Motors officially launched the automated production line for its humanoid robot IRON in Guangzhou, aiming for mass production by the end of the year. This initiative signifies the transfer of quality management systems from automotive manufacturing to the robotics sector, as stated by Xpeng CEO He Xiaopeng during the launch ceremony. This move is part of a broader trend, with over 140 humanoid robot manufacturers in China, which released more than 330 humanoid robot products in the past year. According to Omdia, Chinese companies accounted for nearly 80% of the global humanoid robot shipment volume in 2025, with ZhiYuan Robotics leading in deliveries. The rapid integration of advanced algorithms into hardware by Chinese manufacturers has given them a competitive edge in this emerging market. Despite the excitement, concerns remain about the sustainability of the industry, as many companies are startups focusing on basic functionalities. The launch of Xpeng's production line may serve as a model for integrating established automotive manufacturing practices into robotics, but significant challenges remain before achieving true commercial viability in the humanoid robot sector.
Humanoid Robots Robot Manufacturing Automation AI Industrial Robotics
Humanoid Robots Enhance Mobility with AI-Driven Sprinting and Spin Kicks
Recent advancements in humanoid robots have led to the development of systems capable of sprinting and executing spin kicks, utilizing AI trained on human motion data. This progress signifies a leap in the capabilities of humanoid robots, which have traditionally been limited in their movement repertoire. The ability of humanoid robots to perform complex movements like sprinting and spin kicks is crucial for their potential application in assisting humans with manual tasks across various environments. Enhanced mobility could enable these robots to engage more effectively in real-world scenarios, thereby increasing their utility and acceptance in society. Looking ahead, the focus will likely be on further refining the movement capabilities of humanoid robots and exploring their practical applications in industries such as healthcare, logistics, and personal assistance. No further timeline was disclosed at the time of publication.
Robotics
China’s Dexterous Hand Industry, 2026 Part 3 — The Players
Five vendor archetypes, MIR’s composite top ten, eight company profiles and six field deployments — every firm linked to the RobotToday supplier directory.
RobotToday Weekly Briefing August 31 – September 4, 2026
This week in robotics: NVIDIA agrees to buy Hugging Face for $12.93 billion, Figure signs a $3.5 billion compute deal with Nscale for up to 100,000 GPUs, Tesla launches steering-wheel-free Cybercabs in Austin under NHTSA scrutiny, and Uber and Wayve bring the UK its first autonomous rides. August 31 – September 4, 2026.
China’s Dexterous Hand Industry, 2026 Part 1 — The Demand Picture
MIR Databank puts China dexterous hand shipments above 30,000 units in 2026, yet only 3.5% of 2025 demand came from factory production. Part 1 of 3.
China’s Dexterous Hand Industry, 2026 Part 2 — The Technology
Linkage, tendon, direct drive or hybrid — and why hardware is converging while the DL1–DL5 manipulation scale decides who wins. Part 2 of 3.
Robotics Investing: Intuitive Surgical or Unitree?
Unitree (STAR 688836) trades near 410x earnings after a 46% drawdown; Intuitive Surgical sits at 42.5x. A definition-aligned comparison of both companies.
Software, Compute and Interaction at WRC 2026
47 WRC 2026 exhibitors supply robot software, compute or interaction — but only 19 call themselves software companies. Five open artefacts, licence-checked.
ROBOTTODAY WEEKLY BRIEFING August 24 – 28, 2026
This week in robotics: XPeng's Dogotix raises over $900 million at a $6.3 billion valuation, Unitree's post-IPO slump revives bubble talk, Beijing's World Humanoid Robot Games close with a shift to real-world tasks, and Teradyne sues JAKA at Europe's Unified Patent Court. August 24–28, 2026.
WRC 2026 Core Components: 137 Robot Parts Suppliers
The third report in the WRC 2026 series. Report 1 mapped all 248 exhibitors by category and Report 2 covered the 139 that build finished robots. This one covers the 137 that build what goes inside them.
WRC 2026 Robot Systems: 149 Companies That Build Robots
149 of the 248 classified WRC 2026 exhibitors build finished robots. 93 build humanoid or legged machines. The audited humanoid sales number is one unit.
WRC 2026 Exhibitor Map: 248 Robotics Companies Mapped
We classified 248 WRC 2026 exhibitors with the RobotToday taxonomy. Motion & Actuation leads at 75 companies, Humanoid at 72, and compute stays thin at 12. (Modified 2026-08-27)
