JAKA Robotics manufactures collaborative robots (Zu, Pro, S, Mini series) up to 35kg payloads. Headquartered in Shanghai with offices in the US, Germany, Japan, and Malaysia, JAKA integrates embodied AI and multispectral vision for automotive, 3C electronics, and industrial manufacturing.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
From July 17 to 20, 2026, the World Artificial Intelligence Conference (WAIC 2026) took place in Shanghai, showcasing significant advancements in the AI sector. Luming Robotics presented its latest embodied intelligence practices, emphasizing real-world applications and industrial collaboration. The company introduced its Prime R0 embodied brain and data collection capabilities, demonstrating a comprehensive technology system that spans 'scenarios, data, and models.' The importance of this event lies in the shift towards practical applications of embodied intelligence, moving beyond mere technical demonstrations. Luming Robotics highlighted the three developmental stages of embodied intelligence: industrial, commercial, and domestic. The industrial sector, characterized by clear task boundaries and quantifiable ROI, serves as the optimal starting point for scaling and iterating embodied intelligence technologies. Looking ahead, Luming Robotics announced a collaboration with Mitsubishi Electric Automation (China) to develop industrial assembly scenarios, marking a significant step towards autonomous task understanding and environmental adaptation. No further timeline was disclosed at the time of publication.
Embodied Intelligence Industrial Robotics Data Collection AI TechnologyOn July 19, during the 2026 World Artificial Intelligence Conference, Yao Maoqing, Senior Vice President and President of the Embodied Business Division at Zhiyuan, shared insights on the technological pathways for scaling physical AI. Zhiyuan has developed a three-phase training architecture of 'pre-training, post-training, and continuous learning' to advance its VLA and WAM technology routes towards the unified World Reasoning Action Model (WRAM). The integration of data is facilitated by Mifeng Technology, which utilizes the MEgo series of collection terminals and the MEgo Engine governance platform to create a comprehensive physical AI data infrastructure. This infrastructure supports data collection, governance, training, and deployment feedback, ensuring that real-world data continuously enhances model evolution. The collaborative model and data iteration system has already been validated in real industrial scenarios. Yao emphasized that 'models determine the starting point, while data defines the outcome.' He expressed the ambition of Zhiyuan and Mifeng to collaborate with the global academic community, industry, and developer ecosystem to accelerate the evolution of physical AI in real-world applications. No further timeline was disclosed at the time of publication.
Physical AI Data Infrastructure Machine Learning AI DevelopmentFujitsu has initiated a partnership with Japanese robotics firms Fanuc, Yaskawa Electric, and Kawasaki Heavy Industries to advance the development and deployment of physical AI in sectors such as manufacturing, logistics, and healthcare. This collaboration will leverage Nvidia's physical AI technologies to create a collaborative control platform that connects digital systems with robots and physical equipment. The initiative aims to accelerate the adoption of physical AI, addressing challenges like labor shortages and an aging workforce while enhancing global competitiveness. The platform will optimize production planning in manufacturing, automate material handling in logistics, and improve healthcare operations by automating the transport of medical supplies and assisting with patient interactions. Fujitsu plans to develop an open collaborative control platform that integrates AI, robotics, and data analysis technologies, ensuring interoperability and addressing cybersecurity concerns. No further timeline was disclosed at the time of publication.
Artificial Intelligence Industry News ai factory automation fanucOn July 17, the 2026 World Artificial Intelligence Conference (WAIC) commenced in Shanghai, focusing on embodied intelligence and digital industrialization. Beijing Humanoid Robotics unveiled its 3D solutions, emphasizing a new industry standard of 'technology with warmth, rapid deployment, and broad industry application.' The company aims to transition humanoid robots from experimental settings to real-world applications, addressing industry challenges such as high customization costs and lengthy development cycles. The introduction of these 3D solutions is significant as it targets core operational needs in commercial, industrial, energy, inspection, and logistics sectors. By focusing on three specific areas—Dirty, Dangerous, and Dull tasks—Beijing Humanoid Robotics aims to replace manual labor in high-risk and repetitive jobs, thereby enhancing productivity across various fields. This marks a shift towards a more systematic and standardized approach in the embodied intelligence industry. Looking ahead, the company plans to continue developing its technology and solutions, inviting global partners to collaborate in building a new ecosystem for embodied intelligence. No further timeline was disclosed at the time of publication.
Humanoid Robots Industrial Automation AI Solutions Robotics TechnologyAt the World Artificial Intelligence Conference (WAIC), six robots from General Embodied Intelligence Company, Yuanli Lingji, undertook a challenging task to assemble a Great Wall model using 81,920 micro building blocks over 15 hours. Each robot was required to complete approximately 910 assembly actions per hour, achieving a speed comparable to skilled human workers. This demonstration highlights the complexities of robotic assembly, as traditional industrial robots operate under fixed conditions, while block assembly requires real-time perception and adaptability to varying positions and angles. The robots needed to maintain sub-millimeter precision throughout the task, pushing the limits of robotic capabilities and mimicking human dexterity. The execution team consisted of four desktop robots and two humanoid wheeled robots, each equipped with independent perception, decision-making, and execution abilities. The challenge tested multi-agent collaboration in a dynamic environment, emphasizing the need for real-time negotiation and coordination among robots to adapt to unforeseen circumstances during the assembly process. No further timeline was disclosed at the time of publication.
Robotic Assembly AI Technology Collaborative Robotics Precision EngineeringAt the WAIC exhibition, the Gino 1 humanoid robot from Geek+ stood out by combining generalization capabilities with operational efficiency in real-world tasks. Unlike other robots that either excelled in speed or adaptability, Gino 1 demonstrated its ability to perform end-to-end workflows, including precise item picking and collaborative operations with mobile robots. The significance of Gino 1 lies in its advanced full-body parallel control, which reduces task completion time by approximately 30%. This innovative approach allows simultaneous movement and manipulation, resulting in smooth and stable operations without interruptions. The robot's integration with Geek+'s AI scheduling system enhances its efficiency across entire workflows rather than focusing on individual machine performance. Looking ahead, Gino 1's ability to adapt to various physical conditions and its dynamic response to unexpected challenges highlight its potential in real-world applications. As it continues to learn from each task, Gino 1 exemplifies the concept of self-evolution, making it a noteworthy development in the field of intelligent robotics. No further timeline was disclosed at the time of publication.
Humanoid Robots AI Warehouse Automation Robotics TechnologyA humanoid robot successfully executed a head-high kick to win its match at the inaugural Ultimate Robot Knock-out Legend (URKL) tournament in China. This event, organized by Shenzhen-based EngineAI, showcased full-sized humanoid robots engaging in freestyle combat, demonstrating significant advancements in humanoid mobility and resilience under competitive conditions. The URKL featured 32 teams from around the globe, all utilizing EngineAI's T800 humanoid robot platform, which is designed to mimic the size and weight of an adult human. The competition evaluated various robotic capabilities, including striking accuracy and durability, rather than solely focusing on knockouts, highlighting the robots' ability to perform complex movements even after sustaining damage. Looking ahead, EngineAI's T800 humanoid robot, unveiled in December 2025, is positioned for future controlled fighting demonstrations. The tournament's success indicates a growing interest in humanoid robotics and its potential applications in various sectors, including logistics and human-robot collaboration. No further timeline was disclosed at the time of publication.
AI and RoboticsA US technology company, Grid Dynamics, has formed a strategic partnership with South Korea's Doosan Robotics to promote the use of Physical AI in manufacturing and logistics. This collaboration will provide Doosan's industrial collaborative robot customers with a comprehensive software stack and integration services, facilitating advanced automation tasks such as complex object inspection and variable component assembly. The significance of this partnership lies in its potential to expedite the deployment of AI-powered robotic systems, thereby broadening the applications of Physical AI within industrial operations. Doosan Robotics, a leading manufacturer of collaborative robots, offers a range of models designed for various tasks, including the lightweight A Series and heavy-duty H Series, which can handle payloads up to 55 pounds. Looking ahead, the integration of Grid Dynamics' GAIN Platform with Doosan's cobots is expected to enhance automation capabilities, particularly for complex tasks that traditional robotics struggle with. No further timeline was disclosed at the time of publication.
AI and Robotics InnovationDelta Electronics has received the prestigious BIG SEE Product Design Award 2026 for its Delta D-Bot series of collaborative robots. This award highlights exceptional achievements in product design and industrial innovation, showcasing Delta's commitment to sustainability and creativity in technology. The recognition is significant as it underscores Delta's strategy of investing over eight percent of its annual revenue in research and development, particularly in design and innovation. Michael Mayer-Rosa, senior director at Delta, emphasized that the award reflects the high standards of their team in merging industrial robotics with practical and efficient design, catering to diverse customer needs. Looking ahead, Delta's D-Bot series, launched in spring 2024, features six flexible models with advanced safety technologies and compatibility with various industrial protocols. No further timeline was disclosed at the time of publication.
Design Industrial robots autonomous mobile robots BIG SEE Product Design Award cobots collaborative robotsThe development of embodied intelligence is shifting from creating individual robots to establishing collaborative ecosystems. At this year's WAIC, the industry is exploring whether new models and skills can be rapidly integrated into robots for practical applications. A partnership between Leju and Ant Group's Lingbo has led to the release of logistics sorting results, emphasizing the importance of industry collaboration in scaling humanoid robotics. Leju believes that the growth of the humanoid robot industry relies on collective efforts rather than individual companies. The collaboration features Lingbo's general embodied base model, LingBot-VLA, while Leju focuses on post-training and motion control. This partnership has created a comprehensive technological chain that connects models, data, and computational power, marking a significant step in the industry. As embodied intelligence enters a critical phase, the ability to effectively translate models into real-world applications becomes paramount. Leju's advancements in post-training capabilities and the OpenLET community's support for developers are crucial for accelerating the deployment of new skills in various industries. No further timeline was disclosed at the time of publication.
Embodied Intelligence Robotics Logistics Automation AI DevelopmentThis week in robotics: Hyundai plans 25,000 Atlas robots for its factories, XPENG rolls off China’s first mass-produced L4 robotaxi, Singapore launches its first multi-operator physical AI testbed, and Kawasaki Heavy opens a Silicon Valley physical AI center with NVIDIA. May 18–22, 2026.
On 1 April 2026, China's Securities Association (CSAC) randomly selected Unitree Robotics for a mandatory on-site IPO inspection — just 12 days after its STAR Market application was accepted. The event has generated significant market commentary. This analysis examines the regulatory context, what the inspection actually means, the four core controversies in Unitree's prospectus, and the implications for competing humanoid robot companies pursuing public listings.
Guangdong Huayan Robotics (formerly Han’s Robot) files for Hong Kong Mainboard IPO seeking HK$1.37 billion at HK$17.00 per share. China’s leading full-stack cobot manufacturer reported RMB 310.4 million revenue in 2024 (+77% YoY) and carries strong cornerstone backing. Analysis of financial highlights, technology stack, market position, and related-party risk.
CIIF 2025 highlights China’s next smart manufacturing phase, shaped by industrial robotics scale-up, humanoid pilots, and AI-driven automation systems.
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