RobotX is an international autonomous maritime robotics competition and community platform hosted by RoboNation. Runs the Maritime RobotX Challenge for university teams and the Virtual RobotX simulation competition, promoting development of autonomous, unmanned multi-domain vehicles.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Amano Corporation launched the RAPiiTT commercial robot vacuum on July 16, 2026, aimed at enhancing cleaning efficiency in various facilities such as offices, commercial spaces, hospitals, and airports. This product leverages Amano's extensive experience in cleaning robot deployment since 2014, integrating advanced AI and autonomous navigation technologies developed by Preferred Robotics. The RAPiiTT is designed to automate cleaning tasks across multiple floors, reducing the need for manual labor in transporting equipment between floors. It features LiDAR for obstacle detection, ensuring safe navigation around people and objects. With a cleaning width of 500mm and a noise reduction design, it operates effectively in noise-sensitive environments, making it suitable for offices and commercial facilities. Looking ahead, the RAPiiTT's integration with the AMANO Robot Cloud allows for real-time management of multiple units, streamlining operations for facility managers. No further timeline was disclosed at the time of publication.
LG Electronics held a significant meeting with around 300 executives to discuss its strategy for the second half of the year, emphasizing growth in robotics and AI data center cooling. The meeting, chaired by CEO Lyu Jae-cheol, followed a record first half, with preliminary second-quarter revenue reaching 23.8 trillion won ($16 billion) and an operating profit of 1.58 trillion won. The focus on robotics is particularly notable as LG has established a Robotics Business Center and initiated production of its proprietary Axium robot actuator. The company aims to leverage synergies in robotics, AI data center cooling, smart factories, and AI-powered homes, which Lyu identified as key growth areas that align with the rise of artificial intelligence. Looking ahead, analysts predict that LG's cooling systems for AI data centers could start contributing to earnings within six to nine months. The collaboration with Nvidia is expected to enhance LG's robotics platform, while advancements in robotics may positively impact earnings estimates for 2027. No further timeline was disclosed at the time of publication.
All NewsHyundai Motor Group is poised to gain full control of Boston Dynamics after SoftBank exercised a put option on its remaining 9.65 percent stake in the robotics firm. This move comes as Hyundai accelerates its focus on physical artificial intelligence, with plans to enhance its robotics capabilities and synergies across its manufacturing operations. The acquisition is significant as it allows Hyundai to consolidate its ownership of Boston Dynamics, which it initially acquired an 80 percent stake in for $880 million in 2021. With SoftBank's stake dropping below 10 percent, Hyundai and its affiliates will fully own the company, enabling better coordination in robot development and deployment, particularly with the introduction of Atlas humanoid robots in their manufacturing plants. Looking ahead, Hyundai plans to begin testing Atlas robots at its Metaplant America and Kia's Georgia plant, with operational roles expanding by 2030. The company aims to produce 30,000 robots annually by 2028 and establish capacity for 350,000 actuators, crucial for robot functionality. No further timeline was disclosed at the time of publication.
All NewsGS Caltex announced the completion of a 200 billion won ($135 million) turnaround at its Yeosu refinery, utilizing robots, artificial intelligence, and digital tools to enhance safety and operational efficiency. This large-scale maintenance operation involved halting production for intensive inspections and replacing aged components, laying the groundwork for safer and more efficient plant operations. The significance of this turnaround lies in GS Caltex's integration of digital and AI solutions, which are part of the company's broader digital transformation strategy. By digitalizing core operational systems, the refinery aims to improve workplace practices and boost overall competitiveness. The deployment of technologies like MOVision and tube-cleaning robots addresses specific operational challenges, such as locating electric motor-operated valves and enhancing thermal efficiency. Looking ahead, GS Caltex plans to continue innovating within the manufacturing sector by leveraging its DAX strategies. The company's commitment to integrating on-site expertise with advanced technologies is expected to further enhance efficiency and safety in future operations. No further timeline was disclosed at the time of publication.
All NewsThe Robotics: Science and Systems (RSS) conference is set to commence in St. Louis this June, marking a significant event in the robotics academic community. Since its inception in 2006, RSS has been known for its selective approach, accepting only about 60 papers annually, and is regarded as a leading indicator in the field of robotics. The 2026 conference will introduce a new focus on embodied intelligence alongside traditional motion planning and operational algorithms. Embodied intelligence has rapidly transitioned from a laboratory concept to an industrial hotspot over the past two years. The integration of large language models with visual models has led to the development of the Vision-Language-Action (VLA) framework, enabling robots to comprehend natural language commands and execute multi-step tasks. This technological pathway has sparked extensive academic debate regarding the reliability of end-to-end Transformer-based strategies in real-world applications versus potential overfitting in datasets. The positioning of embodied intelligence at RSS2026 will be symbolically significant for China. In recent years, international conferences have often viewed Chinese teams as representatives of engineering implementation rather than contributors of original theory. An increase in Chinese academic contributions at RSS this year could indicate a subtle shift in the international academic community's perception of the landscape of embodied intelligence research, highlighting the importance of high-quality theoretical innovation.
Embodied Intelligence Robotics Research Vision-Language-Action AI Robotics AlgorithmsSwancor Qiyuan's T1, touted as the world's first 'transformable personal robot,' will be publicly demonstrated on July 17, 2026, at the World Artificial Intelligence Conference (WAIC 2026). This robot features a unique Transformer architecture that allows seamless switching between humanoid and quadruped modes, enhancing its interaction and mobility capabilities in various home environments. The significance of the T1 lies in its ability to autonomously select its form based on terrain and tasks, moving beyond traditional manual controls. This innovation is expected to expand the scenarios in which personal robots can operate, addressing common household obstacles while reducing the overall ownership cost for users by eliminating the need for multiple devices. Looking ahead, Swancor's strategy focuses on content creation, education, and companionship rather than general household chores. With offline experience stores already established in major Chinese cities, the T1's success will depend on its pricing and acceptance in the market, potentially proving that adaptable robots hold greater commercial value than those merely mimicking human form.
Transformable Robots Home Robotics AI Technology Robotic InnovationObayashi Corporation has initiated an 18-month joint verification project utilizing humanoid robots at a construction site near Tokyo. The project aims to address the critical labor shortage in Japan's construction industry, where over one-third of workers are aged 65 and older, while less than 10% are under 30. The introduction of humanoid robots is seen as a survival strategy rather than a gimmick. The selected humanoid robot, UTree H1, features 19 degrees of freedom and is designed for repetitive material handling tasks in uneven environments. Obayashi's technology lead emphasized that the project's core metric is not replacement rate but rather the enhancement of human-robot collaboration efficiency, indicating that the initial role of the robots will be to assist rather than fully replace human workers. The project also highlights the cost advantages of UTree's supply chain, which is over 40% lower than similar products from Europe and the U.S. This affordability makes the UTree H1 accessible to large rental companies in Japan. Experts note that successful integration of humanoid robots into existing construction workflows will be crucial for scaling up their use in the industry. No further timeline was disclosed at the time of publication.
Humanoid Robots Construction Automation Robotics AI Building TechnologyOver the past year, the robotics industry has engaged in a competitive race focused on enhancing the computational power, parameters, and algorithms of robotic 'brains.' While advancements in reasoning capabilities are evident, robots still struggle with basic tasks such as grasping objects or performing precise manipulations. This discrepancy raises questions about the effectiveness of current sensory technologies. The core issue lies in the limitations of robotic perception, which relies heavily on either pure vision or multi-sensor fusion approaches. Multi-sensor fusion, favored by many embodied intelligence manufacturers, combines various sensors to improve robustness and accuracy. However, this method introduces challenges related to data synchronization and processing overhead, hindering the scalability of embodied intelligence. Conversely, pure vision systems, exemplified by Tesla's approach, depend on 2D RGB cameras to reconstruct 3D environments. This method lacks depth information and can falter in challenging visual conditions. Both approaches suffer from the loss of information during data transmission and processing, resulting in robots receiving 'second-hand data' rather than real-time, unified information from the physical world. No further timeline was disclosed at the time of publication.
Robotic Vision Embodied Intelligence Sensor Technology AI AutomationNvidia has introduced its new AI model, Cosmos 3 Edge, aimed at enhancing physical AI applications in Japan. This model is designed to help systems perceive and navigate real-world environments, marking a significant step in Nvidia's strategy to penetrate the physical AI market. The expansion is part of CEO Jensen Huang's visit to Japan, where Nvidia is forming partnerships with local industrial leaders such as Fujitsu, Hitachi, and Kawasaki Heavy Industries. Huang emphasized the potential for Japan to reinvent its manufacturing sector for intelligent industries, highlighting the country's historical significance in modern manufacturing. Looking ahead, Nvidia is also targeting Japan's healthcare and biotechnology sectors, collaborating on initiatives like the Tokyo-1 AI drug discovery consortium. With Japan's AI market projected to reach $27.9 billion by 2029, Nvidia's efforts could significantly influence the landscape of AI adoption in the region. No further timeline was disclosed at the time of publication.
LimX Dynamics has released a demonstration video featuring its Oli robot performing household chores for three minutes without interruption. This achievement follows a significant funding round of $200 million, which enhances the company's position in the humanoid robotics sector. The demonstration highlights the capabilities of the Oli robot, positioning it as a competitor to Silicon Valley's Figure. This development is crucial as it signifies the advancements in China's humanoid robotics, showcasing that they can rival established players in the market. Looking ahead, industry observers will be keen to see how LimX Dynamics leverages this funding and demonstration to further enhance the capabilities of the Oli robot. No further timeline was disclosed at the time of publication.
TechnologyPiaggio Fast Forward showcases kilo®, an infrastructure-free collaborative AMR (300 lb payload, 360° LiDAR), at Automate 2026 booth #17054.
Discover RoboNext 2026, Japan's new robotics exhibition showcasing AI, industrial automation, humanoid robots, AMRs, and next-generation robotics technologies in Osaka.
RobotToday interviews A3 President Jeff Burnstein post-Automate 2026 on sector diversification, China’s 10x robot installation lead, a proposed U.S. national robotics strategy, and global cooperation through the IFR.
At Automate 2026 in Chicago, Amprius Technologies exhibited its SiCore SA88 silicon-anode pouch cell — 358 Wh/kg, 750 Wh/L — as a finalist in the Components, Hardware & Enabling Technologies category. Analysis of implications for AMR, UAV, and aerial mobility platforms.
China controls 80% of humanoid robot shipments and crushes hardware costs. But is winning the body enough? A deep analysis of the US-China robot war beyond the EV analogy.
OMRON Robotics introduces the next-generation LD-150 and LD-300 autonomous mobile robots at Automate 2026, featuring higher payloads, 30-minute wireless charging, 360° safety scanning, and FLOW Core fleet integration for high-throughput manufacturing.
Vention reveals AI-powered platform partnerships with FANUC America and Teradyne Robotics at Automate 2026, enabling software-defined automation across collaborative and industrial robot deployments.
Doosan Robotics unveils PalletizHD+ at Automate 2026 — an AI-powered palletizing solution with PalletizOS, SwiftMove technology, and up to 11 boxes per minute throughput for smarter factory automation.
Taiwan Excellence Pavilion brings 23 certified companies to Automate 2026 in Chicago (June 22–25), showcasing edge AI, collaborative robots, precision motion and industrial computing solutions for U.S. smart manufacturing.
Robot.com announces R-noid, a general-purpose humanoid robot deployed via RaaS across five solution categories and six industry verticals. Operational in 8–12 weeks. Debuting at Automate 2026.
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