Swedish defence and security technology group founded in 1937, supplying governments and militaries across 100+ countries. Parent company of Saab Seaeye (underwater robotics) and developer of counter-UAS systems. Products span combat aircraft, sensors, electronic warfare, and autonomous maritime systems.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Xinyan Group's CEO Ren Yongliang made a bold decision to integrate AI emotional companionship into hardware by developing the Buboo 1 family robot. With over 60 million users of their app, which generates billions in revenue annually, the company aims to address the limitations of online interactions in family settings. The Buboo 1 robot, showcased at WAIC 2026, offers proactive interaction without the need for wake words, adapting to users' emotional cues and preferences. This innovation is significant as it represents a shift from traditional electronic toys to intelligent home companions that can understand and respond to emotional needs. Ren believes that the future competition will focus on multi-modal perception and the accumulation of native data in home environments. The Buboo 1 seeks to fill the gap in emotional support that online platforms cannot address, particularly in family dynamics and intergenerational communication. Looking ahead, the industry is poised for a transformation as it moves towards creating emotionally intelligent physical AI entities. The Buboo 1 aims to redefine how AI can fulfill emotional companionship needs in a tangible way, addressing the emotional gaps in modern family life. No further timeline was disclosed at the time of publication.
At the WAIC 2026, Lingdi Technology showcased a compelling demonstration of robotic arms folding clothes, highlighting the complexities of handling flexible materials. The demonstration illustrated not just the end result of clothing manipulation but emphasized the intricate process of transforming garments into computable digital objects. This involves understanding various fabric properties and how they interact with robotic grippers, which is crucial for real-world applications in households and light industries. The significance of this demonstration lies in addressing the challenges robots face when dealing with flexible, deformable objects. Unlike rigid items, clothing can change shape and state when manipulated, requiring advanced algorithms to adapt to these variations. Lingdi Technology's SynReal World aims to bridge the gap between robotic systems and embodied models by providing a comprehensive data infrastructure for 3D asset generation, simulation training, and automated evaluation, ensuring that models undergo extensive physical interactions in a digital environment before real-world deployment. Looking ahead, the focus on flexible object simulation is critical as robots increasingly enter domestic and industrial settings. The ability to accurately simulate the handling of clothing and other soft materials will be essential for improving efficiency and reducing operational costs. No further timeline was disclosed at the time of publication.
Robotics Fabric Simulation AI Training Automation Soft RoboticsA group of palm-sized square robots autonomously converge, lock together, and form a temporary floating bridge within minutes. This innovative achievement comes from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and was recently published in Nature Communications. Inspired by fire ants, these robots utilize decentralized control, allowing them to coordinate movements without a central command, enhancing their scalability. Each FloatForm robot measures 21 centimeters on each side and is equipped with propellers, sensors, and magnetic locks. The robots can synchronize their movements by exchanging positions with neighbors, making the planning complexity dependent on local interactions rather than the total number of robots. Simulations indicate that the framework can smoothly scale up to 64 units, showcasing significant potential for various applications. The team has successfully tested the robots in controlled environments, achieving a 90% success rate with four robots and 70% with eight in completing tasks autonomously. Future developments will focus on integrating GPS or visual navigation and mechanical locking for real-world applications, including floating markets and emergency bridges in urban areas with waterways. No further timeline was disclosed at the time of publication.
Robotics Autonomous Systems Modular Robotics Water NavigationAt the 2026 World Artificial Intelligence Conference, over half of the 160 exhibiting companies showcased robots capable of practical tasks such as making tea, folding clothes, and handling boxes. Notably, Galaxy Universal demonstrated robots working in energy plants for three months, while ZhiYuan showcased a complete automotive parts production line with robots handling loading and packaging. The demand for embodied intelligence has led to significant growth in the supply chain, with tactile sensor requirements rising from under 20% to 60% this year. Companies like Lightwheel Intelligence reported a fourfold increase in orders, indicating a surge in data demand. However, manufacturers remain cautious, seeking robots that can match human stability and precision before making substantial investments. As robots begin to learn from real data in factories, the industry is still grappling with limitations in intelligence. Observers noted that while robots are making progress, they are not yet as reliable as experienced workers. The industry is eagerly awaiting a breakthrough akin to the 'ChatGPT moment' for embodied intelligence, as companies test the feasibility of robotic solutions in real-world environments.
Robotics Artificial Intelligence Automation Manufacturing Sensor TechnologyEngineer and YouTuber Dylan Delelim has created a robot that covers Michael Jackson's classic song 'Human Nature', resulting in a performance that is both amusing and impressive. Delelim documented the entire process of building this 'robot singer', focusing on mechanical design and sound output to make the robot sing like a human. The video has garnered attention for striking a unique balance between imitation and mechanical performance. Unlike most robotic singing demonstrations that rely on pure voice synthesis or pre-recorded audio, Delelim's robot retains a mechanical quality while maintaining pitch, evoking a blend of humor and admiration from viewers. This robot's performance resonates with Michael Jackson's fascination with robotics, as his music often incorporated mechanical dance elements. While this robot is not an AI singer with advanced capabilities, its imperfections add a layer of human-like charm, reminding viewers of the essence of 'human nature'. No further timeline was disclosed at the time of publication.
Robotics AI Music Technology Mechanical EngineeringThe A-UT robot, resembling a giraffe, has been operational in Japan's nuclear power plants for 30 years. Developed by Mitsubishi Heavy Industries, it performs critical inspections inside reactor pressure vessels using ultrasonic probes, where human access is impossible due to radiation. This robot is essential for ensuring the integrity of reactor components that contain high-pressure, high-temperature water and nuclear fuel. Its ability to operate in hazardous conditions makes it an invaluable tool for maintaining safety in nuclear energy production, especially as Japan's nuclear sector begins to revive. Looking ahead, the A-UT's role is expected to grow as more nuclear reactors restart operations, including the Kashiwazaki-Kariwa Unit 6 in February 2026. The continued use of such robots highlights their importance in energy strategy, ensuring the safety of welds in environments that are too dangerous for humans.
Nuclear Robotics Underwater Inspection Industrial Automation Radiation ProtectionAt WAIC 2026, Tencent's Chief Scientist Zhang Zhengyou questioned the intelligence of AI that can reason but lacks understanding of the physical world, referring to it as a 'brain in a jar.' He emphasized that true intelligence integrates language, vision, spatial awareness, body control, and environmental feedback in a closed-loop system. Tencent unveiled several models, including Hy-Embodied-VLM-1.0, which interprets images and scenes with significantly reduced computational demands. The Hy-Embodied-RxBrain-1.0 combines text reasoning with visual imagination for continuous cognitive processing, while Hy-Embodied-VLA-0.5 translates high-level goals into actionable steps for various robot forms. These innovations are supported by extensive training data and are already being implemented in real-world applications. The company is also upgrading its Tairos platform for a more open-source approach, facilitating easier development from models to applications. Tencent's Robotics X Lab is collaborating with multiple robotics companies and partners to transition these technologies from theoretical concepts to practical implementations in diverse environments.
Robotics Artificial Intelligence Cognitive Systems AutomationOn May 17, Nanjing University hosted the 'Run, Robot, Run' event, featuring the humanoid robot 'Lightning' competing against five human athletes in a 100-meter sprint. 'Lightning,' which recently set a half-marathon world record with a time of 50 minutes and 26 seconds, showcased its impressive capabilities, including a leg length of 0.95 meters and a peak joint torque of 400 Nm, comparable to high-performance cars. The competition highlighted the robot's advanced dynamic motion control system and reliability, essential for sprinting. Utilizing liquid cooling technology and high-capacity batteries, 'Lightning' maintained stable performance under high loads. The robot's autonomous navigation and rapid obstacle avoidance allowed it to race effectively on the university track, drawing cheers from the audience. This event marks another milestone for 'Lightning,' which previously won the humanoid robot half-marathon in Beijing, breaking the human record by nearly seven minutes. The excitement generated by this race illustrates the growing capabilities of humanoid robots and their potential to surpass human performance in various physical tasks.
Humanoid Robots Robotics Competitions AI Technology Sports TechnologyAt this year's WAIC, Shenzhen's robotics companies focused on enhancing the 'intermediate layer' necessary for humanoid robots to translate thoughts into actions. This layer is crucial for bridging the gap between model capabilities and real-world execution, addressing the industry's shift from 'can it be done' to 'can it be used'. The importance of this development lies in the need for robots to effectively process diverse training data sources, such as human demonstrations and simulation synthesis. Companies like Cross-Dimensional Intelligence introduced the Aligned DexWorld, which aligns data in a unified 3D physical space, while the DexVerse simulation engine generates varied training materials. Demonstrations showcased robots performing complex tasks, emphasizing the necessity for continuous action planning and adjustment in real-time. Looking ahead, the challenges remain regarding the amount of data required for new tasks and the stability of long-term operations. However, Shenzhen's robotics sector is clearly on the right path, focusing on completing the 'intermediate layer' to enable robots to transition from understanding to executing tasks effectively.
Humanoid Robots Robotics Technology AI Automation Data AlignmentBrainCo, a developer of brain-computer interfaces based in Hangzhou, showcased its innovative brain-controlled robot platform during WAIC 2026. This advanced system utilizes an EEG headset to convert neural signals from users into actionable commands for various machines, including humanoid robots, robotic arms, and robot dogs. The significance of this demonstration lies in its potential to revolutionize human-robot interaction by enabling users to control robots through thought alone. By translating imagined actions into physical operations, BrainCo's platform aims to enhance the efficiency and intuitiveness of robotic systems, paving the way for more seamless integration into everyday tasks. Looking ahead, the focus will be on how BrainCo continues to develop this technology and its applications across different sectors. No further timeline was disclosed at the time of publication.
News FeedTitanium’s strength-to-weight and corrosion resistance are reshaping robotics hardware, from lighter limbs to durable joints that unlock next-gen performance.
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