US print and online publication covering personal and hobbyist robotics, including construction guides, motor selection, UAVs, and underwater ROVs. Targets engineers, students, and enthusiasts engaged in robotics and electronics projects.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
LG Energy has been confirmed to supply batteries for Google's largest solar and energy storage project, marking a significant expansion in energy infrastructure related to the rising power demands of AI data centers. This project, known as the Steel River Energy Center, is a collaboration between Google and Cypress Creek Energy in Arkansas. The initial phase of the project will feature 1.6 gigawatts (GW) of solar power generation capacity and approximately 2 gigawatt-hours (GWh) of battery storage, with plans to expand to 2.5 GW of solar and 2.9 GWh of storage by 2029. LG Energy is expected to provide its JF2 DC Link system, utilizing lithium iron phosphate battery technology, with the order valued at several hundred billion Korean won. As the demand for renewable energy solutions grows, this partnership highlights the increasing importance of energy storage systems in supporting sustainable infrastructure. No further timeline was disclosed at the time of publication.
ROBOTS has announced the completion of a seed funding round through third-party allocation from Incubate Fund and NTT Docomo. The startup focuses on developing an integrated control platform for robots that become smarter through on-site operations. The funding will accelerate research and development of this platform and physical AI, particularly for implementation in the security sector. The significance of this development lies in addressing the severe labor shortages in the security industry, where high turnover rates and an aging workforce pose challenges. By integrating various robots and sensors into a cohesive system, ROBOTS aims to enhance operational efficiency and reduce the burden on security personnel. This approach allows for a flexible response to diverse on-site tasks, which is crucial given the unique demands of different environments. Looking ahead, ROBOTS plans to leverage insights gained from security applications to expand into other sectors such as equipment inspection and construction. CEO Koki Kawauchi emphasized the importance of robotics in addressing real-world challenges, aiming for a future where diverse robots work alongside humans seamlessly.
Hangzhou New Sword Electromechanical Transmission Co., Ltd. has submitted its IPO application to the Shenzhen Stock Exchange, aiming to raise 2.822 billion yuan by issuing up to 27.99 million shares. Established in 1999, the Zhejiang-based company is recognized as one of the three major players in Tesla's humanoid robot supply chain, primarily supplying planetary roller screws for the Tesla Optimus robot. The significance of this IPO lies in New Sword's projected revenue growth, which is expected to rise from 263 million yuan in 2023 to 383 million yuan by 2025. The company anticipates a dramatic increase in revenue from the embodied intelligent robotics sector, with projections of 31.11 million yuan by 2025, marking a 346% year-on-year growth. The funds raised will primarily support the industrialization project for producing 1 million humanoid robots and automotive planetary roller screws, with a total planned investment of 2.6 billion yuan. Looking ahead, New Sword's business model is shifting as it evolves from a single screw supplier to a comprehensive assembly supplier, including sensors and motors, for Tesla. The company aims to capitalize on the anticipated demand for Tesla's Optimus robots, with CEO Elon Musk indicating a target of 1 million units annually by the end of 2026. However, the timeline for mass production has faced multiple adjustments since the project's announcement in 2021, leaving uncertainty in the market.
Humanoid Robots IPO Supply Chain Electromechanical ComponentsIn the past two years, the humanoid robot industry has seen numerous impressive demonstrations, but a shift is emerging in the second half of 2026. Companies are now focusing on developing training frameworks, development platforms, data tools, open-source models, and various R&D infrastructures. The competition is evolving from showcasing superior robots to enabling more developers to create robots faster. Recently, RoboParty established RoboParty Lab (RPLab) and introduced Party OS, an open-source embodied intelligence R&D foundation for next-generation humanoid robots. Alongside this, they released three R&D infrastructures: MimicLite, UFO, and hhtools. This move signifies a transition from merely demonstrating capabilities to building a robust R&D ecosystem that fosters collaboration and scalability within the developer community. As humanoid robots move from laboratories to practical applications in factories, warehouses, and homes, the industry is shifting its focus toward creating a reproducible, collaborative, and scalable R&D system. The emphasis is now on sustaining and accelerating development capabilities, marking a significant change in industry dynamics over the past year.
Humanoid Robots R&D Infrastructure Open Source Embodied AI Robot Development ToolsIbaraki Prefecture has established the 'Ibaraki Physical AI Industry Creation Consortium' to promote business development and utilization of physical AI by local companies. The kickoff event, 'IBARAKI PHYSICAL AI SUMMIT 2026', is scheduled for July 28, 2026, at the Mito Plaza Hotel in Mito City, Ibaraki Prefecture. This initiative is significant as physical AI, which integrates AI into physical devices like robots and autonomous vehicles, is expected to see substantial market growth globally. The consortium aims to create an environment that facilitates local companies in adopting physical AI technologies, aligning with current industry trends. The kickoff event will feature participation from related companies such as Hitachi and Unitree Robotics, along with robot demonstrations. A seminar discussing the evolution of RoboCup in the context of humanoid robots and physical AI will also take place, highlighting the challenges and advancements in the field as it prepares for the RoboCup 2026 World Championship in South Korea.
ELIZA, recognized as the first AI chatbot, was created by Joseph Weizenbaum in the mid-1960s. This program, which simulated a psychotherapist, surprised users with its engaging interactions, leading to discussions about automated therapy and the concept of machine sentience, known as the 'ELIZA effect.' Recently, the original source code was discovered, revealing ELIZA's ability to adopt multiple personas beyond its well-known therapist role. The significance of ELIZA extends beyond its historical context; it transformed perceptions of human-computer interaction and laid the groundwork for modern conversational AI. The newly analyzed source code demonstrates that ELIZA was a sophisticated platform capable of complex interactions, challenging previous assumptions about its capabilities. This discovery highlights the gap between theoretical models and practical implementations in AI development, emphasizing the importance of understanding early innovations in the field. Looking ahead, the insights gained from ELIZA's architecture and programming techniques can inform current AI advancements. As researchers continue to explore the implications of Weizenbaum's work, the historical context of ELIZA will remain relevant in discussions about language, therapy, and human-computer interaction. No further timeline was disclosed at the time of publication.
Chatbots Ai History Eliza Joseph-weizenbaumXiaomi has made significant advancements in deploying its humanoid robot on automotive production lines, achieving a 98% success rate at a self-tapping nut loading station. This improvement narrows the gap to human workers' qualification rates to just one percentage point, showcasing the robot's enhanced capabilities after four months of development. The importance of this development lies in Xiaomi's ability to expand the robot's role in manufacturing, as it has successfully taken on additional tasks such as center console side panel sorting and parts bin folding and recycling, both achieving a 90% success rate. This marks a significant milestone in the robot's operational capabilities, particularly in handling flexible workpieces, which are typically more challenging than rigid components. Looking ahead, Xiaomi's continued focus on refining its humanoid robot's perception and manipulation skills will be crucial for further integration into automotive assembly operations. No further timeline was disclosed at the time of publication.
AI and RoboticsNASA astronaut Jessica Meir captured a remarkable image of glaciers flowing down the northern slopes of the Himalayas from the International Space Station. This breathtaking view highlights the vastness of the mountain range, which separates Nepal from China's Tibetan Plateau and features over 110 peaks exceeding 24,000 feet in elevation. The Himalayas, spanning five countries and approximately 1,500 miles wide, provide a unique perspective on glacial movement that is not visible from the ground. This imagery underscores the significance of space in enhancing our understanding of climate change, particularly as rising temperatures impact glacial dynamics and sea levels. Researchers can utilize this data to better comprehend how glaciers melt and move, which is crucial for preparing to protect our planet and its ecosystems. No further timeline was disclosed at the time of publication.
Earth Astronomy Solar SystemImpossible Metals, a US mining technology company, has announced plans to establish an Advanced Marine Robotics Hub in Pittsburgh, Pennsylvania. This facility will focus on developing autonomous marine systems for the deep-sea collection of critical minerals, creating over a dozen high-paying engineering and science jobs. The hub aims to enhance US capabilities in marine robotics and critical mineral technologies through collaboration with local universities and researchers. The significance of this initiative lies in its potential to redefine deep-sea mining practices. According to Mike Regan, Chief Growth Officer at Impossible Metals, the hub will enable swarms of autonomous robots to harvest critical minerals like nickel, cobalt, copper, and manganese with minimal environmental impact. This approach not only promises to produce the lowest-cost critical metals on Earth but also aims to strengthen the US supply chain and reduce reliance on foreign sources of essential materials. Looking ahead, the Advanced Marine Robotics Hub will serve as the primary research center for advancing the Eureka autonomous underwater platform and Smart Launch and Recovery Systems. The company plans to continue developing dual-use technologies that cater to both commercial and naval applications. No further timeline was disclosed at the time of publication.
AI and RoboticsTesseract Ventures, a Kansas City-based robotics and drone company, has been chosen by the Defense Innovation Unit (DIU) to participate in a prototype program aimed at enhancing the U.S. military's use of autonomous drones. This initiative, known as the Containerized Autonomous Drone Delivery System (CADDS), focuses on deploying unmanned aerial systems in challenging environments with limited infrastructure. The CADDS project represents a significant advancement for Tesseract Ventures, as it seeks to transition from single-operator drone control to a system where one individual can manage multiple drones simultaneously. This approach aims to improve operational efficiency and reduce the personnel required for drone missions, aligning with the Pentagon's goal of utilizing unmanned systems more extensively in military operations. Looking ahead, Tesseract Ventures will demonstrate its NOMAD modular autonomous platform as part of the prototype project. This platform is designed to facilitate the deployment, launch, recovery, and management of multiple drones from transportable containers. No further timeline was disclosed at the time of publication.
MilitaryA comprehensive industry analysis of Physical AI — covering Embodied AI, Field AI, Factory AI, VLM, World Model, VLA, and the VLA vs WAM architecture debate. Includes 20+ companies, 28 references, and the RobotToday Physical AI Landscape diagram. July 2026.
At Automate 2026, Covestro brought Makrolon, Bayblend, Baysafe BEF and Vulkollan to robotics — tackling weight, heat, sensing and sustainability for humanoids and AGV/AMRs.
ISO standards define what a safe robot looks like. RSF defines who should service it. Discover the 5 capability gaps no standard has addressed — until now.
VisionNav Robotics showcases the VNE40-66 autonomous precision stacking solution, VNE20-07 counterbalance truck, and BrightEye vision platform at Automate 2026 in Chicago, June 22–25.
Comprehensive analysis of Vietnam's robotics industry: market size, industrial policy, key companies (Vingroup, Apicoo, Phenikaa-X), geopolitical dynamics, and 2030 growth opportunities.
A comprehensive guide to industrial robot programming language evolution: G-code and NC origins, FANUC KAREL/TP, ABB RAPID, KUKA KRL, Yaskawa INFORM, the ROS open-source revolution, ROS2 architecture, ROS-Industrial consortium, OPC-UA, TSN, and real-time Linux — how six decades of software history define today's factory floor.
From rotary joints hitting 530 N·m+ to linear joints with planetary roller screws, integrated actuators are replacing the three-part drivetrain. Full supplier map: Tihu, PhyArc, RobStride, Schaeffler, maxon — and China's path from 1,000-RMB modules to global standard-setter.
A technology-first analysis of the three pillars driving industrial robot capability: precision reducers, servo systems, and motion controllers. Maps the full global supplier ecosystem — Japan, Europe, and China — from component specs to product generations and integration architectures.
Mitsubishi Electric leads $140M in Lumos Robotics funding. Industrial automation giant's dual investment signals embodied AI is entering real manufacturing infrastructure.
A five-dimensional framework classifying industrial robots by kinematic type, application, payload, repeatability, and drive system. IFR 2024 data: 542,000 global installations across articulated, SCARA, cobot, and delta types.
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