Swedish technical university conducting research in engineering, natural sciences, and architecture. Active in robotics, autonomous vehicles, AI, and sustainable systems research with strong industry collaboration and application focus.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
MoSense, 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.
BXI 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.
On July 16, Qianjue Robotics unveiled its first embodied tactile model, X-TouchMind V1, alongside the TacVerse 1k multimodal dataset. This development addresses the limitations of traditional visual models in robotic operations, particularly in precision assembly and handling delicate objects, where failures often occur after contact. The new model integrates visual, linguistic, tactile, and robotic state data to enhance physical interaction capabilities. The significance of this release lies in Qianjue's comprehensive approach, which encompasses tactile perception hardware, self-developed multimodal data collection devices, and the new tactile model. Unlike previous attempts that merely supplemented tactile signals to visual data, the VTLA embodied tactile model establishes a closed-loop system that fundamentally redefines the perception boundaries of robotic models. This innovation allows robots to understand and respond to physical interactions more effectively. Looking ahead, Qianjue Robotics will demonstrate the capabilities of the VTLA model at the WAIC 2026 exhibition, showcasing real-world applications such as autonomous box stacking and precise assembly of headphones. The focus will be on how the model can dynamically adjust actions based on tactile feedback, marking a significant advancement in robotic interaction technology. No further timeline was disclosed at the time of publication.
Tactile Intelligence Robotic Interaction Precision Assembly Multimodal Data AI RoboticsThe Chinese humanoid robot industry is rapidly reshaping the competitive landscape in Europe, with shipments to the region projected to grow over 400% year-on-year by mid-2026. This surge has positioned Europe as the largest overseas market for Chinese humanoid robots, surpassing North America. This growth is significant as it highlights the systemic advantages Chinese companies have in hardware cost control, mass production capabilities, and product iteration speed. European humanoid robot firms face challenges such as long R&D cycles and high production costs, with prices often exceeding $200,000 per unit. In contrast, Chinese companies leverage a complete supply chain ecosystem to offer similar products at one-third the price or lower, maintaining performance without compromise. The acceptance of Chinese humanoid robots in Europe is expected to continue growing, driven by labor shortages and rising employment costs in the region. Several European automotive and electronics firms are already testing Chinese humanoid robots on production lines, aiming to automate high-risk and repetitive tasks within three years. No further timeline was disclosed at the time of publication.
Humanoid Robots Automation Manufacturing RoboticsThe 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 DevelopmentThe logistics industry is showcasing a robust investment trend, with companies announcing new warehouse developments and technology projects across Europe. This reflects a strong confidence in future demand and the importance of efficient supply chains for business success. Investment in automation is crucial, but companies are prioritizing solutions that integrate with existing operations and provide clear returns on investment. This pragmatic approach highlights the maturity of the logistics market, as businesses also focus on resilience alongside efficiency to handle disruptions. As the year progresses, the industry is expected to continue its steady evolution, with new facilities, partnerships, and improved transport networks. These developments may not always make headlines but are essential for strengthening supply chains and enhancing overall capabilities in logistics.
AI AMR and AGV Automation Systems and Shuttles Couriers and Express IT in Logistics Materials HandlingEnterprise AI agents are transitioning from laboratory environments to corporate systems, enabling them to track workflows, generate reports, and make decisions across various applications. This shift enhances operational speed and service quality but also places significant demands on existing technical infrastructures. The importance of robust AI agent infrastructure cannot be overstated, as it must accommodate fluctuating workloads, ensure secure access, and maintain data integrity. Without a solid foundation, AI agents may excel in pilot programs but struggle with reliability when integrated into live systems with larger datasets and user bases. Looking ahead, organizations must prioritize capacity planning guided by reporting and internal deadlines. As AI agents require organized and accurate data access to function effectively, businesses must establish clear rules for data retrieval and management. No further timeline was disclosed at the time of publication.
AI agents Infrastructure agentic ai ai agents AI infrastructure API integrationThe development of robotics begins long before physical assembly, relying heavily on simulations to validate designs and refine algorithms. These simulations demand significant computational resources, making system benchmarking crucial to identify hardware limitations early in the process. By measuring workstation performance under demanding workloads, engineers can establish a performance baseline that aids in spotting potential bottlenecks. Understanding how different hardware components affect simulation performance is essential for robotics development. Whether using macOS, Windows, or Linux, benchmarking helps determine if slowdowns are due to software changes or hardware limitations. Key components such as the processor, graphics card, memory, and storage play varying roles in performance, and the weakest link can dictate the overall experience. As robotics projects grow in complexity, the need for robust hardware becomes increasingly important. Engineers should focus on comprehensive benchmarking to ensure their systems can handle the demands of their simulations. No further timeline was disclosed at the time of publication.
Components Robot simulation ABB RobotStudio automation cpu delmiaBrainCo, based in Hangzhou, has introduced a groundbreaking robot platform that allows users to control robots using only their thoughts through EEG headsets. This advancement signifies a major step forward in embodied AI technology, where artificial intelligence is integrated into physical machines, enabling them to interact with the real world. The significance of this development lies in its potential to revolutionize human-robot interaction. By utilizing electroencephalogram (EEG) headsets, BrainCo's platform captures brain signals and employs AI algorithms to decode these signals, translating user intentions into robotic actions. This capability could enhance various applications across industries, making robots more intuitive and responsive to human commands. Looking ahead, the platform's compatibility with diverse third-party hardware, including humanoid robots and robotic arms, suggests a wide range of potential use cases. As the competition among global technology firms intensifies in the realm of embodied AI, BrainCo's innovation will be crucial to monitor for its impact on the future of robotics and AI integration. No further timeline was disclosed at the time of publication.
The world's first 'Robot Night Spectacle' RaaS product, created by Qingtian Rental, made its stunning debut at the Guiyang International Exhibition Center. This groundbreaking event featured over a hundred robots and was co-hosted by Shenzhen Yancheng and Lingji Yidong, showcasing a diverse range of performances including dance, martial arts, and fashion shows. This event is significant as it marks a milestone in the RaaS industry, transforming the perception of robots from isolated appearances in commercial areas to a large-scale, cohesive performance. The 'Robot Night Spectacle' achieved several breakthroughs, including being the first large-scale RaaS cultural tourism product and demonstrating advanced robot group control technology in a commercial performance setting. Looking ahead, the project will run for 37 consecutive days starting July 11 in Guiyang, representing a major commercial deployment of Qingtian Rental's RaaS products. This initiative not only validates the efficiency of large-scale robot control but also aims to replicate the success of the 'Robot Night Spectacle' across China, enhancing the integration of AI and intelligent experiences in traditional cultural tourism.
Robot as a Service Cultural Tourism Robotics Technology Interactive Experiences
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