German manufacturer of AS-Interface and IO-Link products for industrial automation and safety technology. Supplies bus modules, safety monitors, and network gateways enabling IIoT and Industry 4.0 connectivity in automated systems.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Recent trends in the robotics industry indicate a shift from mere mobility to operational intelligence, particularly in humanoid robots. Companies are now focusing on practical applications such as tool handling and assembly, highlighting the importance of force sensing technology. As robots engage in physical tasks, understanding the force exerted becomes crucial for effective operation. This transition underscores the growing significance of six-dimensional force sensors, which are evolving from optional components in industrial robots to essential infrastructure for next-generation intelligent robots. The recent funding rounds exceeding 100 million yuan reflect a broader interest from both traditional investors and state-owned enterprises, signaling a pivotal moment in the industry's development. Looking ahead, the demand for comprehensive sensing, control, and manufacturing infrastructure will likely increase as the humanoid robotics sector matures. The complexity of enabling robots to perform sustained tasks, such as assembly and material handling, will challenge developers to innovate beyond flashy capabilities and focus on the intricate details that drive commercialization.
Humanoid Robots Force Sensing Technology Industrial Automation Robotics InnovationMoSense, a company specializing in multimodal tactile solutions for robotics, has successfully completed an angel funding round worth several million yuan. Investors include Sequoia China, Hillhouse Capital, and Zhiyuan Robotics. The funds will primarily accelerate research and development, team expansion, computational power investment, and production testing system establishment. Founded in May 2026 and headquartered in Shanghai, with a research center in Shenzhen, MoSense focuses on developing a comprehensive multimodal tactile perception system for robots. The company aims to enhance robots' environmental perception capabilities, which are crucial for their deployment in complex real-world scenarios such as industrial manufacturing and logistics. Looking ahead, MoSense plans to commercialize its multimodal tactile solutions across various industries beyond humanoid robotics. The company is developing a tactile feedback system that integrates multiple sensory modalities, which is essential for improving robots' interaction with their environments. No further timeline was disclosed at the time of publication.
Thomas Genestar, managing director of western Europe at Exotec, emphasizes the necessity of automation and AI in logistics due to the e-commerce boom. He identifies resilience, reliability, and operational continuity as critical pillars influencing supply chain strategies for 2026 and beyond. Genestar highlights the growing adoption of Goods-to-Person (G2P) solutions, which enhance warehouse efficiency by delivering items directly to operators. This innovation reduces unnecessary movement, increases task consistency, and minimizes physical strain on workers, addressing the significant costs associated with non-automated warehouses. Additionally, he notes the shift from traditional forecasting to AI/ML models that allow for dynamic demand sensing, enabling organizations to better align production with demand. This evolution supports more sustainable and resilient supply chain practices, including improved reverse logistics inspired by e-commerce return models. No further timeline was disclosed at the time of publication.
Features Logistics ai automation circular logistics demand sensingBXI Robotics, a humanoid robot ODM provider, has recently completed a new funding round worth millions, with investment from A-share listed company Suochen Technology. The funds will primarily support the development of next-generation humanoid robots and expansion into overseas markets. Previously, BXI Robotics secured its first round of institutional financing in 2025 from Feirongda. Founded in 2022, BXI Robotics has been developing humanoid robots since 2020. The company focuses on high-dynamic bipedal humanoid robots and is one of the few teams in China capable of full-stack self-research, including machine design, core motors, motion control algorithms, and software delivery. BXI Robotics aims to meet the growing ODM market demand as many companies seek to quickly establish their own humanoid robot brands. Looking ahead, BXI Robotics plans to enhance its capabilities in end-effectors, perception, and computation to improve robots' ability to execute tasks autonomously. The company anticipates significant growth in orders and revenue, projecting monthly order amounts to exceed ten million yuan from July 2026 to July 2027, with a total annual revenue expected to surpass one hundred million yuan. No further timeline was disclosed at the time of publication.
Robbyant, a company specializing in embodied AI under Ant Group, has unveiled the upgraded LingBot-VLA 2.0 model. This next-generation vision-language-action model enhances morphological generalization, degrees of freedom support, and deployment efficiency, addressing a critical gap in the embodied AI industry. The significance of LingBot-VLA 2.0 lies in its extensive pre-training on 60,000 hours of real-world data, which includes interactions from 20 different robot morphologies. This upgrade allows for improved whole-body control and dual-arm manipulation, achieving leading scores on benchmarks, thus demonstrating its effectiveness in industrial-scale deployment. Looking ahead, the introduction of a version optimized for efficient post-training and a threefold increase in inference efficiency positions LingBot-VLA 2.0 as a strong contender for real-time commercial applications. No further timeline was disclosed at the time of publication.
Computing Robot simulation artificial intelligence dual-arm robots embodied ai humanoid robotsNoetra, in collaboration with key partners including Sony, SoftBank, NEC, and Honda Motor, has launched extensive R&D for a multimodal foundation model aimed at enhancing AI-enabled robotics in Japan. This initiative is part of a broader effort to develop sovereign AI technologies within the country, supported by investments from 44 companies across various sectors, primarily manufacturing. The significance of this development lies in its potential to position Japan as a leader in physical AI. By creating a robust multimodal foundation model, Noetra aims to improve industrial competitiveness and address societal challenges through advanced AI capabilities, including natural language processing and multimodal data understanding. Looking ahead, Noetra plans to construct AI computing infrastructure with Nvidia's advanced GPUs, with operations expected to commence in June 2028. The phased development will culminate in a comprehensive omni-modal foundation model by fiscal 2028, ultimately striving for a “Real-world Native AI” by fiscal 2030, which will be capable of understanding physical properties in real-world applications.
Artificial Intelligence News Robot simulation ai agents AI infrastructure artificial intelligenceAs attention focuses on companies like Tesla and Agility Robotics, a crucial battle is unfolding in the robotics sector: the competition for components. This less visible yet significant struggle highlights that the ultimate beneficiaries may not only be the manufacturers of final products but also the suppliers of essential technologies that power robots across various designs and applications. Morgan Stanley emphasizes this perspective, suggesting that the companies providing critical components for robots will play a pivotal role in the industry's future. Historical economic trends indicate that technological revolutions often favor infrastructure suppliers, as seen during the gold rush and the rise of AI, where companies like NVIDIA and TSMC emerged as key players. Among the vital components, precision bearings are particularly important, as they are necessary for every joint, motor, and rotating mechanism in robots. Advanced humanoid robots can incorporate over 70 bearings, which are essential for ensuring precision, durability, and reduced friction in their movements. No further timeline was disclosed at the time of publication.
À la une IA Industrie Robotique actionneurs robotiques caméras industriellesDuring a media briefing on July 15, Digua Robot's CEO, Wang Cong, stated that there are currently no industry standards for the computing power required for embodied intelligence chips. He emphasized the uncertainty surrounding chip performance, data standards, algorithms, and practical applications in the sector. Wang noted that Digua Robot is among the few companies already delivering products, having partnered with over 20 leading clients, including companies like Shizhi Navigation and UBTECH. Their Sun S600 chip is set to be deployed in various scenarios, including humanoid robots and industrial applications, with significant progress reported in the past six months. Looking ahead, Wang believes that the industry is not yet in a phase of intense competition, as many players have yet to produce viable products. He highlighted the importance of refining product quality and responding to customer needs, while also addressing the challenges of cost-effectiveness and system integration in deployment processes. No further timeline was disclosed at the time of publication.
Embodied Intelligence Chip Technology Robot Partnerships Industrial AutomationOn July 16, the Japanese government announced a plan to purchase 27,500 next-generation Rubin architecture AI chips from NVIDIA, totaling approximately $2.4 billion. This initiative aims to build a national AI data center and develop domestic robotics foundational models, marking one of the largest national GPU procurements globally. The project is coordinated by Noetra Corp., a policy-driven AI company set to launch in January 2026, with participation from major Japanese firms like Sony, SoftBank, NEC, and Honda. The Rubin chips will be deployed in a large data center in Sakai City, Osaka, with operations expected to begin in June 2028. Noetra aims to release its first general AI model by March 2027, followed by specialized AI models for robotics applications. Japan's investment reflects its response to ongoing demographic challenges and labor shortages. NVIDIA's CEO emphasized the potential for automation and AI to revitalize the economy. The Japanese government has set a goal to capture over 30% of the global robotics market by 2040, with the Rubin order being part of a broader strategy to reduce reliance on foreign technology and enhance national security.
AI Chips Robotics National AI Strategy Data CentersOn July 16, NVIDIA CEO Jensen Huang announced an expansion of collaboration with Japanese companies in the field of 'physical AI' during an event in Tokyo. This initiative marks a strategic move to integrate NVIDIA's technology into Japan's manufacturing sector, particularly through a partnership with Toyota to develop AI models for the Woven City traffic control system. The collaboration with Toyota is central to NVIDIA's strategy, as the company will provide GPUs and development tools to Toyota's subsidiary, Woven by Toyota. This partnership aims to embed NVIDIA's technology into the city's digital twin platform, Omniverse, enhancing factory production and driving manufacturing robots with the Isaac platform. Additionally, Huang revealed plans to deepen cooperation with major Japanese industrial automation firms, including Fujitsu, Fanuc, Yaskawa Electric, and Kawasaki Heavy Industries, as part of the Cosmos Coalition. This initiative aims to strengthen Japan's position in the global AI robotics market, with a government goal of achieving a 30% market share by 2040. No further timeline was disclosed at the time of publication.
Physical AI Robotics Industrial Automation AI Technology
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