Global exhibitions & ecosystem. The exhibition circuit has transformed from a venue for speculative demonstrations into a hard procurement battleground. With IFA Berlin announcing a dedicated humanoid catwalk and Computex Taipei exposing the friction between silicon ambition and physical reliability, convenings are now the primary mechanism for supply chain allocation. On July 27, the organizers of IFA Berlin, Europe's largest consumer electronics show, announced that their September 2026 event will feature a dedicated catwalk for humanoid robots. The IFA Next innovation zone expects approximately 300 exhibitors, with a specific focus on robotics and artificial intelligence wearables. The roster of confirmed participants reads like a directory of the Chinese embodied intelligence sector, including Primebot, EngineAI, Cozio, Dobot, DEEP Robotics, AgiBot, and Unitree. This is not a science fair; it is a coordinated effort to establish a beachhead in the European market ahead of impending regulatory deadlines. The transition of the exhibition circuit from a showcase of the possible to a marketplace of the available is the defining shift in the robotics ecosystem this year. For supply chain operators and procurement teams, these convenings are no longer optional scouting trips. They are the venues where production capacity is allocated, component partnerships are forged, and the reality of a vendor's manufacturing capability is stress-tested in public. The sheer density of the IFA Berlin lineup indicates that the hardware platform war has moved from the laboratory to the commercial stage, and the primary weapon is the ability to deliver working units at scale. This commercial density is driven by a stark reality: the window to secure early-adopter enterprise contracts is closing. The companies walking the runway in Berlin are not competing for venture capital; they are competing for pilot programs with European logistics providers, manufacturers, and healthcare networks. The presence of 25 national pavilions, including heavy representation from Asian hardware hubs, underscores that the supply chain for embodied artificial intelligence is already globalized, even if the deployment remains localized. The silicon battleground at Computex. While IFA Berlin prepares to host the physical hardware, Computex Taipei served as the battleground for the silicon that powers it. In late July, Qualcomm used its keynote address to launch the Dragonwing IQ10, a robotics reference design boasting 700 trillion operations per second of artificial intelligence performance. The platform, built around an 18-core central processing unit, is explicitly positioned as a production-ready brain for the next generation of humanoid robots. However, the event also delivered the year's most visceral demonstration of the gap between silicon specifications and physical reliability. During a live demonstration of the new chip, a 4NE-1 humanoid from NEURA Robotics collapsed on stage shortly after delivering a payload. Qualcomm subsequently described the event as a designed safe-collapse sequence triggered by a communication glitch. Regardless of the technical explanation, the image of the collapsed robot became the defining moment of the conference, illustrating the brutal unforgiving nature of physical deployment. NEURA Robotics, a German company that recently closed a massive funding round backed by major technology and automotive players, is building cognitive robots designed to work alongside humans. The on-stage failure highlights the core challenge facing the supply chain: processing power is advancing faster than the electromechanical systems can reliably execute the commands. For procurement teams, the Computex incident is a stark reminder that a 700-operation-per-second brain is useless if the actuation layer cannot maintain stability under load. The supply chain bottleneck has moved from compute to physical reliability. Regional ecosystems and the race for capacity. The pressure to secure reliable components is driving the formation of hyper-localized ecosystems. In Japan, a single prefecture recently drafted 123 local companies into an initiative focused on physical artificial intelligence, featuring the regional chief of Unitree on stage. This effort represents a deliberate strategy to build a vertically integrated supply chain within a tight geographic radius, reducing reliance on vulnerable international logistics networks. These regional clusters are attempting to replicate the rapid iteration cycles seen in Shenzhen and the Pearl River Delta. By co-locating actuator manufacturers, sensor designers, and software developers, these ecosystems aim to compress the time between prototype and production. For global buyers, this fragmentation means that procurement strategies must account for regional variations in component availability and integration expertise. The days of sourcing a complete robotic system from a single, vertically integrated vendor are ending; the future belongs to integrators who can assemble the best components from these regional hubs. The Korean government's approach at the San Francisco AI Summit provides the clearest template for how state actors are accelerating this ecosystem formation. By orchestrating 950 billion dollars in commitments from Samsung, SK Group, Naver, and their international partners, the Korean government demonstrated that national competitiveness in physical AI requires coordinated investment across the entire stack: silicon design, data center infrastructure, model training, and hardware deployment. The exhibition circuit is the venue where these coordinated strategies are announced and the supply chain relationships are formalized. The procurement calculus. For enterprise buyers evaluating the robotics supply chain, the exhibition circuit now serves three distinct functions. First, it provides a controlled environment for evaluating hardware reliability under observation, as the Computex incident demonstrated. Second, it establishes the commercial relationships required for pilot programs, with IFA Berlin's 25 national pavilions functioning as a structured marketplace. Third, it generates the competitive intelligence necessary to benchmark vendor claims against observable performance. The density of Chinese manufacturers at IFA Berlin deserves particular attention from procurement teams. AgiBot, Unitree, DEEP Robotics, and Dobot represent the most aggressive pricing strategies in the market, and their presence in Berlin signals an intent to compete directly with European industrial automation incumbents. The pricing differential between Chinese and Western humanoid platforms remains substantial, and the exhibition floor is where European buyers will first encounter the full range of available options. The procurement decision is no longer whether to deploy robotic systems, but which supply chain to commit to for the next decade. The exhibition circuit will continue to serve as the primary mechanism for navigating this fragmented landscape. The next major test of this ecosystem will be the World Robot Conference in Beijing in late August. As the industry gathers in China's capital, the focus will not be on novel form factors or speculative capabilities. The scrutiny will fall entirely on production yields, component sourcing, and the verifiable ability to deliver hardware that survives the transition from the catwalk to the factory floor. The convergence of IFA Berlin in September and the World Robot Conference in August creates a compressed evaluation window for procurement teams. Companies that perform well in Beijing will carry momentum into Berlin, while those that stumble will face skeptical European buyers armed with video evidence of failures. The exhibition circuit has become a continuous, public stress test, and the companies that can demonstrate supply chain maturity across both events will secure the contracts. Those that cannot will be relegated to the research lab. The stakes of this evaluation window are amplified by the speed at which the market is consolidating. With global robotics funding exceeding 18.8 billion dollars in the first half of 2026 alone, the capital is available to scale production rapidly once a vendor passes the reliability threshold. The exhibition floor is where that threshold is publicly verified or publicly failed. Every collapse, every stuttered demonstration, and every flawless performance is recorded and circulated within hours, shaping procurement decisions that will lock in supply chain relationships for years to come. This analysis synthesizes company statements and public market activity.

NEURA Robotics establishes NEURA Gym RWTH Aachen to train physical AI. People are not the only ones who can benefit from going to the gym. Physical AI developers are increasingly turning to specialized facilities to train models enabling robots to perceive, decide, and act in the real world. NEURA Robotics GmbH this week said it has partnered with RWTH Aachen University to address the scarcity of real-world data for training its "cognitive" robotics. "Unlike large language models, which train on trillions of data points, robots have access to a fraction of that volume," explained NEURA Robotics. "Simulations alone cannot reproduce the friction, variability, and unpredictability of the real-world environment robots will operate in." The NEURA Gyms will combine physical training and high-fidelity simulation to create high-quality datasets that directly feed the Neuravese open, cloud-based development platform. "Partners can train and validate robots for their specific use cases before committing to full industrial deployment, reducing adoption risk and accelerating time to deployment," the company explained. Germany to lead NEURA Gym development. NEURA Robotics is building 10 facilities across Europe, the U.S., and China. The company said it expects half of them to be operational by the end of 2026. The two centers in Germany will be at RWTH Aachen's Hightech Campus Melaten and at Munich Airport in collaboration with the Technical University of Munich (TUM) and its Munich Institute of Robotics and Machine Intelligence (MIRMI). "The collaboration with NEURA Robotics and the NEURA Gym RWTH Aachen at the heart of our university takes our transfer strategy to a new level," stated Prof. Dr. Ulrich Rüdiger, rector of RWTH Aachen University. "RWTH looks back on decades of technological excellence in mechanical engineering, electrical engineering, and computer science," he added. "By combining this scientific leadership with a leading high-tech pioneer, we are creating a unique infrastructure for the skilled professionals of tomorrow and securing Germany's leading position in the global AI competition." Save the date for RoboBusiness 2026 NEURA plans for robot training facilities. Metzingen, Germany-based NEURA Robotics said its recent Series C financing of up to $1.4 billion is backing its global gym network. The Aachen Gym at Campus Melaten will be about 3,000 sq. m (32,291.7 sq. ft.). TUM RoboGym in Munich will be more than 2,300 sq. m (24,756.9 sq. ft.) and will test fleets of cognitive and humanoid robots. While the gyms will share an open physical AI infrastructure through the Neuraverse, they will differ depending on the specialties of each region and set of partners, said NEURA. While the company will provide the technology infrastructure, academic researchers and corporate partners will bring domain-specific knowledge. The NEURA Gyms will produce multimodal data from real-world interactions, to be scaled with high-fidelity simulation. Technologies from Neuraverse ecosystem partners will also be available. Sectors including manufacturing, automotive, healthcare, and industrial automation have expressed interest in using the facilities.

New NEURA Gym with RWTH Aachen: NEURA Robotics expands its global training network for Physical AI. * NEURA Gym RWTH Aachen to open by end of 2026 * Ten NEURA Gyms under development, five operational by end of 2026 across Europe, the United States and China * Industry partners gain access to the world's first open infrastructure for training and deploying Physical AI METZINGEN, Germany-(BUSINESS WIRE)- NEURA Robotics ("NEURA"), the pioneer in cognitive robotics and creator of the Neuraverse, today announces a new partnership with RWTH Aachen University for the establishment of NEURA Gym RWTH Aachen. This continues the global rollout of NEURA Gyms, a worldwide network of purpose-built Physical AI training facilities that address the most significant barrier to intelligent robotics: the scarcity of real-world training data. The global rollout is backed by NEURA's Series C financing of up to $1.4 billion, the largest ever raised by a full-stack robotics company. While ten NEURA Gyms are currently under development, five locations across Europe, the United States and China will be operational by end of 2026. The network is anchored by the two European flagship Universities, based in Germany: - The NEURA Gym RWTH Aachen, to be established in partnership with RWTH Aachen University at the Hightech Campus Melaten - And the TUM RoboGym (powered by NEURA), opening at Munich Airport in the fourth quarter of 2026 in collaboration with the Technical University of Munich (TUM) and its Munich Institute of Robotics and Machine Intelligence (MIRMI). Together, these two centers of excellence position Germany as the backbone of Europe's Physical AI infrastructure. Closing the Data Gap Holding Back Physical AI Unlike large language models, which train on trillions of data points, robots have access to a fraction of that volume. Simulations alone cannot reproduce the friction, variability, and unpredictability of the real-world environment robots will operate in. NEURA Gyms are purpose-built facilities where all cognitive robot forms can train at scale and under real-world conditions, combining physical training with high-fidelity simulation. This generates high-quality datasets that feed directly into the Neuraverse, NEURA's open, cloud-based platform connecting robots, developers, and industry partners worldwide. Partners can train and validate robots for their specific use cases before committing to full industrial deployment, reducing adoption risk and accelerating time to deployment. An Ecosystem Built on Partnership Industrial companies and developers gain early access to train robots for their specific use cases before committing to full deployment. NEURA provides the infrastructure; partners bring the domain knowledge no single company could accumulate alone. That exchange continuously enriches the Neuraverse, creating compounding value across the ecosystem. "The biggest bottleneck in Physical AI is no longer intelligence, it's experience," said David Reger, Founder and CEO of NEURA Robotics. "Robots learn by interacting with the real world and that's exactly why we are building NEURA Gyms. Every company possesses expertise that no AI model has today. Our Gyms transform this knowledge into deployable robot skills while every partner remains fully in control of its own data. Together with RWTH Aachen, we are building the infrastructure that Physical AI needs to scale." "The collaboration with NEURA Robotics and the NEURA Gym RWTH Aachen at the heart of our university takes our transfer strategy to a new level," said Prof. Dr. Ulrich Rüdiger, Rector of RWTH Aachen University. "RWTH looks back on decades of technological excellence in mechanical engineering, electrical engineering, and computer science. By combining this scientific leadership with a leading high-tech pioneer, we are creating a unique infrastructure for the skilled professionals of tomorrow and securing Germany's leading position in the global AI competition." Two German Flagships, One Global Network Located at the Hightech Campus Melaten and covering approximately 3,000 square meters, the NEURA Gym RWTH Aachen is industry-open and purpose-built for research, AI-based training, and the industrial deployment of next-generation Physical AI models in intelligent and humanoid robotics. Around 20 RWTH institutes will be integrated into the facility, giving large enterprises and mid-sized companies alike access to an infrastructure where they can validate high-end robotics for their production workflows, particularly in manufacturing, automotive, the circular economy and medical technology. The partnership combines NEURA's commercial robotics platform with RWTH Aachen's deep expertise in robotics and machine intelligence. Two leading RWTH chairs will shape the research agenda of the site. Prof. Dr. Volkmar Schulz, Chair of Imaging and Computer Vision develops physics-based foundation models as the cognitive core of future robots. Prof. Dr. Burkhard Corves, Head of the Institute of Mechanism Theory, Machine Dynamics and Robotics (IGMR), focuses on safe, intuitive human-robot interaction enabled by integrated motion and manipulation intelligence methods. The TUM RoboGym deepens that foundation. At 2,300 square meters and housing a large fleet of humanoid and cognitive robots, it represents a new category of research and industrial infrastructure: one that combines European academic excellence in AI and machine intelligence with NEURA's commercial robotics platform and the €17 million commitment behind it. It will serve as the first anchor of NEURA's global Gym network. Together, these facilities form the foundation of NEURA's global Gym infrastructure. Ten locations are currently under development, five of them operational before year-end. Each new Gym accelerates learning across the entire ecosystem. About NEURA Robotics NEURA was founded on the belief that the next major technology revolution will not happen on screens, but in the physical world. As aging populations, labor shortages and growing demand for skilled work reshape economies worldwide, Physical AI will become essential to sustaining productivity, prosperity and quality of life. Founded in 2019 and headquartered in Metzingen, Germany, NEURA Robotics is a global Physical AI company building the technologies that enable intelligent machines to learn, adapt and work alongside humans in the real world. The company develops cognitive robots that can see, hear, feel and learn, as well as the software, AI and data infrastructure required to deploy them at scale. Today, a large share of global GDP is generated through physical work. NEURA's mission is to make physical skills scalable by dramatically reducing the time required to teach machines new capabilities and deploy them globally. Through its cognitive robots, NEURA Gyms and the Neuraverse, an open ecosystem where robots continuously learn and share skills, the company is building the foundation for a future in which intelligent machines help solve some of humanity's biggest challenges. NEURA Robotics is building Physical AI from Europe, together for the world. For further information, images, and interview requests, please contact [email protected]