The foundational layers of physical AI are undergoing a massive commoditization push today. Qualcomm just snapped up Arduino to flood the market with cheap edge AI boards, arriving right as Google DeepMind deploys its Gemini Robotics 2 control suite to serve as a universal brain across diverse hardware. Meanwhile, the financial reality of the humanoid sector has a new baseline, with Unitree successfully floating the IPO we've been tracking to establish the industry's first public valuation.
Unitree Robotics has officially launched its IPO on Shanghai’s STAR Market, completing the approval process we tracked last month. The profitable Chinese humanoid manufacturer aims to raise approximately $620 million at an implied valuation of around $5.9-$6.2 billion. This event establishes the first public market valuation for a scaled humanoid robotics company, providing a stark financial baseline that contrasts with US competitors like Figure AI, which hold much higher private valuations with near-zero revenue.
Why it matters
This IPO is a landmark event for the entire robotics industry, moving humanoid valuations from the realm of private venture capital speculation to the scrutiny of public markets. Unitree's profitability and scale provide a crucial, and perhaps more sober, financial benchmark that will inevitably influence the valuations of other robotics firms, both public and private. For an entrepreneur, this highlights the strategic tension between the US venture-backed model of 'growth at all costs' and the Chinese model emphasizing vertical integration and early profitability. The public filing also brings geopolitical risks and data security concerns into sharp focus for Chinese robotics firms with global ambitions.
Tech Times calls the IPO a "critical public market benchmark for the humanoid robotics sector," contrasting Unitree's profitability with Figure AI's "$39 billion private valuation with near-zero revenue." Alto Gab reports the valuation is near $5.9 billion, making it the "first profitable humanoid robot maker operating at scale to go public." The move is seen as challenging the prevailing narrative of cash-burning robotics startups and will likely influence investment strategies across the industry.
A NEURA Robotics 4NE-1 humanoid robot, powered by Qualcomm's Dragonwing IQ10 AI platform, dramatically collapsed on stage during a live keynote at the Computex 2026 tech conference in Taipei. The video of the incident quickly went viral. In response, Qualcomm stated the fall was not a malfunction but a 'safe-collapse' sequence triggered by a 'brief communication glitch.' The company claimed the safety system worked as intended and that the incident provided valuable data for improving robot reliability.
Why it matters
This highly public failure is a stark and valuable reality check for the robotics industry. It underscores the immense difficulty of achieving reliable performance in dynamic, unpredictable environments, even with powerful onboard computing. For anyone building or deploying robots, it's a reminder that real-world conditions—like potential wireless interference at a crowded conference—can expose vulnerabilities that don't appear in the lab. While embarrassing for the companies involved, such failures provide critical data for improving safety protocols and robustness, which is essential for the long-term path to commercial viability.
Tom's Hardware reports Qualcomm's explanation of a 'safe-collapse' sequence due to a communication glitch. TechSpot humorously described the robot as collapsing "like it'd been shot." TechRadar contrasted the failure with recent progress from DeepMind, highlighting the wide disparity in current robot capabilities. Interesting Engineering noted the incident underscores the "inherent complexities and ongoing development required for humanoid robots to operate reliably."
Ashok Elluswamy, Tesla's Director of AI and head of the Optimus program, has publicly confirmed the company's long-term annual production target of 10 million humanoid robots. In a post on X (formerly Twitter) on Thursday, Elluswamy clarified that this ambitious goal is for the second, larger Optimus production line planned for Gigafactory Texas, which is expected to ramp up in 2027. This backs up previous, less formal statements from CEO Elon Musk about the massive scale of Tesla's robotics ambitions.
Why it matters
Having the executive directly in charge of the Optimus program confirm this staggering production number lends significant weight to Tesla's plans. It moves the 10-million-unit figure from the realm of CEO hyperbole to a stated, official long-term target. Achieving even a fraction of this volume would fundamentally reshape the global labor market and establish robotics as a pillar of Tesla's business on par with, or even larger than, its automotive division. For the robotics industry, it sets an audacious benchmark for scale that no other company is publicly targeting.
BASENOR Newsroom reports that Ashok Elluswamy, the head of the Optimus program, confirmed the 10 million annual robot target. Teslarati notes this is for the second production line at Gigafactory Texas, with volume production anticipated in 2027. This public confirmation by a key executive signals a strong internal commitment to an unprecedented scale of humanoid robot manufacturing.
BMW has expanded its deployment of Figure AI humanoids at its Spartanburg, South Carolina plant, upgrading to the new Figure 03 models following the initial Figure 01 integration we tracked earlier. The upgraded robots are now actively performing complex tasks on the live production line—including grabbing trolleys and sorting components—without direct human control, leveraging enhanced whole-body coordination.
Why it matters
This deployment marks another critical validation point for humanoid robots in a real-world industrial setting. While pilot programs are common, moving to active use on a live production line at a major automotive manufacturer like BMW demonstrates tangible progress. It shows that humanoids are beginning to deliver on their promise of flexible automation for tasks that are difficult to solve with traditional fixed robotics. This success will likely accelerate adoption discussions at other manufacturing facilities, intensifying the competition among humanoid providers to secure flagship customers.
TramitesMDP reports that the Figure 03 humanoids are performing tasks like "grabbing trolleys and sorting components without direct human control" at the BMW plant. The deployment is described as a "significant leap in the practical application of humanoid robots in industrial settings," showcasing their growing sophistication and intensifying global competition in the field.
The FCC has formally confirmed that its recent ban on foreign-produced 'advanced robotic devices' applies directly to the consumer market, a restriction we noted as it developed earlier this week. The rule, which went into effect on July 28, adds devices like robot vacuums and autonomous lawnmowers to the FCC's 'Covered List.' While previously purchased devices are unaffected, manufacturers like Roborock, Ecovacs, and Dreame will be blocked from introducing new products to the American market.
Why it matters
This is a major escalation of the U.S.-China tech rivalry, extending from high-end humanoids to the mass consumer market. The ban will fundamentally reshape the U.S. consumer robotics landscape, creating a protected market for domestic manufacturers like iRobot while potentially leading to higher prices and fewer choices for consumers. For robotics entrepreneurs, this creates both a significant market opportunity for domestically produced hardware and a major supply chain headache, as many components used in U.S. robots are also sourced from China. The broad definition of 'advanced robotic devices' creates significant regulatory uncertainty for the entire industry.
CNET reports the FCC clarified the rule on July 27, specifying that household robots are included. FOX Business notes this means new foreign-made models will be "ineligible for FCC equipment authorization." Tom's Guide frames it as a ban on "almost all robot vacuums." The Telegraph connects the move to fears over China's rapid robotics advancements, while Mashable calls it a significant impact on the consumer market that will limit choice.
Colin Angle, the co-founder of iRobot and creator of the Roomba, has officially unveiled 'Familiar,' the first product from his new venture, Familiar Machines Magic. Familiar is a quadruped robot designed for emotional companionship rather than household chores. It uses generative AI and an on-device model to learn its owner's routines, develop a unique personality, and communicate through non-verbal cues like sounds and body language. Unlike task-oriented robots, Familiar's primary function is to build a bond with its user.
Why it matters
This launch marks a significant bet by a pioneer of consumer robotics that the next major market is in companionship, not just utility. Moving away from the task-based model that defined the Roomba, Angle is wagering that consumers are ready for robots that serve social and emotional needs. For the consumer robotics space, this could open up a new product category focused on interaction and personality, shifting the design paradigm from pure function to affective computing. It's a high-stakes test of whether a robot's value can be defined by the relationship it builds rather than the chores it completes.
Culcheth.org describes 'Familiar' as a robot designed for "emotional companionship rather than practical tasks," using AI to "develop a distinct personality." This follows earlier reports from this month where Angle first teased the project, emphasizing the goal of creating a pet-like companion. The focus on nonverbal communication and on-device AI for privacy are key design choices for a robot intended for the home.
Researchers have introduced RoboBRIDGE, a new open-source orchestration framework designed to make pretrained Vision-Language-Action (VLA) models more robust for real-world deployment. Published on Friday, the five-module system wraps around existing VLA models, adding critical capabilities like failure recovery, replanning, and domain adaptation. The goal is to bridge the gap between VLAs, which are good at predicting single actions, and the needs of a reliable, long-running robotic agent that can handle unexpected situations.
Why it matters
This is a significant development because it directly addresses the 'brittleness' problem that plagues many current robot AI systems. Instead of simply building ever-larger models, RoboBRIDGE provides a practical, modular layer to handle the messiness of the real world. For robotics developers, this open-source framework could be a powerful tool to make their robots more reliable and reduce the time spent on custom-coding failure recovery scenarios. It represents a pragmatic architectural shift, focusing on robust orchestration rather than just raw model capability.
HumanoidIntel.ai describes RoboBRIDGE as a "5-module orchestration framework" that adds "failure recovery, replanning, and domain adaptation capabilities" to existing VLA models. The paper's authors argue this approach addresses the gap between a VLA's role as an "action predictor" and the need for a "robust robotic agent in real-world scenarios." The framework suggests a path to more reliable deployments without waiting for a perfect, all-encompassing foundation model.
Google DeepMind on Thursday launched Gemini Robotics 2, a suite of advanced AI models designed to give robots 'whole-body intelligence' and enable multi-robot collaboration. The system comprises three parts: Gemini Robotics 2 for vision-language-action (VLA) control, Gemini Robotics ER 2 for high-level embodied reasoning and task planning, and Gemini Robotics On-Device 2, a lightweight version for local execution. Demonstrations on Apptronik's Apollo 2 humanoid showed the system enabling complex, coordinated movements from feet to fingertips, as well as tasks requiring fine dexterity and cooperation between multiple robots. Google's strategy appears to be positioning itself as the universal intelligence layer for a wide range of third-party robot hardware.
Why it matters
Gemini Robotics 2 represents a significant step toward a universal 'operating system' for robotics, akin to what Android is for mobile phones. By creating a unified control and reasoning layer that can be adapted to different robot bodies, Google could drastically reduce the fragmentation and duplicated effort across the industry, allowing hardware makers to focus on mechanics while leveraging Google's AI. This is a direct challenge to vertically integrated players like Tesla and Figure, who are building their own full AI stacks. The release of the ER 2 model publicly via API is a key move to get developers building on their platform, accelerating the creation of a dominant ecosystem.
IT Brief UK highlights the system's focus on "full-body control for humanoids, advanced dexterity in five-fingered hands, [and] multi-robot collaboration." TechMyMoney emphasizes that the system allows robots to "plan multi-step tasks, and collaborate with other robots." Semafor notes the tension between such software advancements and recent US bans on Chinese hardware, which could slow down American innovation by limiting access to affordable research platforms. RoboZaps blog frames Google's strategy as aiming "to be the intelligence layer for various robot hardware companies."
Samsung SDI has officially confirmed its timeline to begin mass production of all-solid-state batteries in the second half of 2027. The company is investing 16 trillion won (approx. $13B USD) into its Ulsan plant in South Korea for the new production lines. Notably, Samsung is specifically targeting 'physical AI' hardware, including humanoid robots and autonomous mobile robots (AMRs), as the initial market for these advanced batteries, which promise significantly higher energy density and reduced fire risk compared to current lithium-ion technology.
Why it matters
This is a critical development for the entire robotics industry, as battery life and power density are major limiting factors for mobile and humanoid robots. A concrete 2027 timeline from a major manufacturer like Samsung for solid-state batteries specifically aimed at robotics signals that a solution is on the horizon. This could unlock longer operational times, higher payload capacities, and safer deployments, making robots more viable for continuous, real-world work. The move also signals a strategic decision by Samsung to prioritize the burgeoning robotics market alongside the massive EV market for its next-generation battery technology.
Windows News AI reports that Samsung is "specifically targeting 'physical AI' hardware" for the initial deployment. Gasgoo adds detail on the 16 trillion won investment in the Ulsan complex. A TrendForce report, cited by Club Camaleon 4x4, projects that demand for solid-state batteries in humanoid robots alone could explode 1,500x by 2035, reaching 74.2 GWh, underlining the massive market opportunity Samsung is targeting.
Following the 136% surge in Indian VC funding we noted yesterday, and Stellar Robotics' recent raise, two more domestic players have secured major capital. Bengaluru-based Agni Robotics closed a Series A for its manufacturing humanoid, while Astha Robotics raised $10 million for its 'Astra-X' system. The deals underscore the broader trend of investors shifting focus from immediate revenue to deep-tech depth in India's physical AI ecosystem.
Why it matters
This wave of funding signals a maturing robotics ecosystem in India, focused on building domestic, cost-effective automation solutions for local industries. For an entrepreneur, this trend is significant for several reasons: it validates the market for affordable robotics in emerging economies, it highlights India as a growing hub for robotics talent and innovation, and it demonstrates a shift in investor mindset towards long-term, deep-tech plays. These local efforts are particularly relevant given recent US import restrictions on foreign robots, creating an opportunity for India to become a key player in the global robotics supply chain.
RobotWale News reports on Agni Robotics' Series A to scale its humanoid for the Indian manufacturing sector, and separately on Astha Robotics securing $10 million to build its own facility. The Financial Express provides broader context, stating that VCs in India are "rethinking the rules" and now prioritizing "technology depth and proprietary data" for robotics startups. This marks a strategic shift toward fostering a self-reliant and innovative robotics industry in the country.
Mind Robotics, a startup spun out of electric vehicle maker Rivian, has secured $500 million in a Series A funding round, reaching a $2 billion valuation. The company is developing AI-powered industrial robots designed to handle complex and unpredictable manufacturing tasks that go beyond simple, repetitive automation. Mind Robotics will leverage operational data from Rivian's own factories to train its systems, aiming to create robots with human-like dexterity and adaptability.
Why it matters
This massive Series A for a spin-out highlights a key trend: established manufacturers are leveraging their unique, real-world operational data to build and train more sophisticated robotic systems. For an entrepreneur, this model of spinning out a robotics venture with a built-in data advantage and an anchor customer (Rivian) is a powerful strategy. It sidesteps the cold-start data problem that plagues many AI robotics startups and signals a move toward vertically integrated tech companies expanding into adjacent, high-value markets like industrial automation.
According to Lanciamodel, Mind Robotics "aims to revolutionize industrial automation by developing AI-powered robots that can adapt to complex, unpredictable tasks in manufacturing." The company's connection to Rivian gives it a crucial advantage in accessing real-world factory data, which is essential for training robust AI models for physical interaction.
The first half of 2026 closed with a record $55.8 billion in funding for robotics and physical AI, nearly doubling the previous annual record, with humanoid startups alone accounting for $8.6 billion. A report from xBerry Tech argues this capital influx, combined with key technology milestones, signals a definitive shift in the industry from R&D pilots to large-scale operational deployment. The analysis points to developments like Neura Robotics securing a firm humanoid deployment date at an industrial site and NVIDIA's sim-to-real pipeline becoming production-ready as evidence that the 'is it possible?' phase is over.
Why it matters
This isn't just another funding report; it marks a psychological and strategic turning point for the industry. The sheer scale of investment, coupled with demonstrable technical maturity, means the competitive landscape is now defined by operational execution and data acquisition, not just flashy demos. For an entrepreneur, the key takeaway is that the value is shifting to companies that can build, deploy, and manage fleets of robots at scale, generating proprietary data that creates a compounding advantage. The era of speculative prototypes is giving way to a race for real-world operational excellence.
xBerry Tech reports the record $55.8 billion H1 funding figure and argues the industry has "finally stopped asking" if physical AI is viable and is now focused on deployment. EntrepreneurLoop corroborates the trend, noting robotics startups have raised $18.8 billion year-to-date and that capital is concentrating on "proven full-stack system developers who can demonstrate hardware depth, data strategy, and real deployment partners."
Teradyne Robotics, known for its industrial and collaborative robots, announced a record-breaking $100 million in revenue for the second quarter of 2026. The company attributed the growth to a 50% surge in orders from electronics manufacturers and semiconductor facilities that are rapidly building out AI data centers. This marks the first time the company has crossed the $100 million quarterly revenue threshold and represents a significant shift in its customer base, with AI infrastructure spending now a primary driver of demand.
Why it matters
This earnings report reveals a powerful second-order effect of the AI boom: the physical construction of AI data centers is now a major market for industrial robots. It shows that the demand for automation isn't just for the end products of tech, but for building the infrastructure of the tech itself. For the robotics industry, this creates a new, massive, and fast-growing customer segment. It also suggests that the growth of AI and robotics are becoming symbiotically linked, with advances in one driving demand for the other.
According to TechTimes, this record quarter was "driven by a 50% surge in orders from electronics manufacturers and semiconductor facilities building AI data centers." This illustrates a "fundamental change in the industrial automation market," where the AI buildout is directly fueling demand for collaborative robots (cobots).
Following its recent FDA clearance, new details are emerging about the design philosophy behind Johnson & Johnson's Ottava surgical robot. Neda Cvijetic, J&J's Global Head of Robotics R&D, explained in an interview Friday that the system is built around a table-mounted architecture with fully sensor-equipped arms to provide spatial awareness. The robot is part of a 'Polyphonic' digital ecosystem for curating data and is designed to be upgradeable with haptic feedback. J&J also employed expert sound designers to create a calming auditory environment in the operating room.
Why it matters
The design details of Ottava reveal a focus on the total user experience and data ecosystem, not just the mechanics of surgery. The emphasis on a calmer OR environment, future-ready haptics, and a comprehensive data platform indicates that the next generation of surgical robots will compete on workflow integration and intelligence as much as on hardware precision. For the healthcare robotics market, this signals a shift toward more holistic, human-centric systems that aim to improve the entire surgical process, not just the technical execution of a procedure.
In an interview with Medical Design & Outsourcing, J&J's Neda Cvijetic detailed the Ottava's features, including its table-mounted design, sensor-equipped arms, and potential for haptic feedback. The article highlights the robot's integration into a digital ecosystem for data analysis and the unique inclusion of sound design to improve the operating room environment. This user-centric approach is a key differentiator as J&J enters the competitive surgical robotics market.
Qualcomm has acquired Arduino and the two companies are launching a new line of development boards aimed at making AI and robotics more accessible. The new products include the $50 Uno Q and the more powerful Ventuno Q, which features 40 TOPS of AI performance. Arduino's Product Director, Marcello Majonchi, announced the Ventuno Q will begin shipping in August and is capable of powering autonomous mobile robots with manipulator arms. The strategy appears to be a direct challenge to NVIDIA's dominance in the edge AI space by combining Qualcomm's processing power with Arduino's massive, user-friendly developer ecosystem.
Why it matters
This acquisition is a major strategic move to commodify the edge AI and robotics development stack. By pairing Qualcomm's powerful silicon with Arduino's accessible platform and enormous developer community, the partnership could significantly lower the barrier to entry for creating sophisticated robots and AI-powered devices. For the robotics industry, this could accelerate innovation in a way similar to how the original Arduino and Raspberry Pi catalyzed the maker movement, potentially creating a new wave of startups and open-source projects built on a cheap, powerful, and easy-to-use foundation. The move directly competes with NVIDIA's Jetson platform, creating a much-needed competitive dynamic in the market for robotics brains.
"Qualcomm has acquired Arduino, and the two companies are launching new development boards, the Uno Q (USD $50) and Ventuno Q (40 TOPS), to democratize AI and robotics at the edge," reports DiarioBitcoin, positioning the move as a push for accessibility. Marcello Majonchi, Arduino's product director, stated that the Ventuno Q will ship in August and can power complex autonomous systems. This alliance aims to create a powerful, open, and accessible alternative to existing platforms, fostering a new era of innovation in edge AI and robotics.
NVIDIA has launched two new modules, the T3000 and T2000, based on its Jetson Thor architecture. These new offerings are designed to be compact, power-efficient AI supercomputers for mass-market robotics and edge AI applications. Featuring Blackwell GPUs and Neoverse Arm CPUs, the modules aim to democratize advanced AI by providing scalable performance in a smaller form factor, enabling general-purpose robots and autonomous machines to be deployed more widely. The launch is supported by NVIDIA's extensive open development ecosystem, including open-source models and software tools.
Why it matters
The new, smaller Jetson Thor modules address a critical need in the market for powerful AI computation in a compact, energy-efficient package. This move lowers the barrier to entry for developing and deploying sophisticated robots, from industrial manipulators to consumer devices. By providing a scalable hardware platform with a robust software ecosystem, NVIDIA is reinforcing its dominant position in the physical AI space and enabling a broader range of developers to build intelligent machines. For robotics entrepreneurs, this means more powerful off-the-shelf options for prototyping and production, reducing the need for custom hardware development in many cases.
Future Tech Markets states the new modules aim to "enable widespread deployment of general-purpose robots and autonomous machines by providing scalable performance and integrated software tools." Sur1.org emphasizes that the modules are designed to "democratize advanced AI for mass-market robotics." The Globe and Mail notes this is part of NVIDIA's broader physical AI strategy, which CEO Jensen Huang predicts could become a $100 billion business, solidifying the company's expansion beyond data centers.
German robotics giant KUKA AG announced Friday it has successfully deployed its new Automation Management Platform (AMP) at its own production facility in Toledo, Ohio. The platform is designed to integrate industrial automation with AI-driven decision-making to increase operational flexibility and extract more value from production data. KUKA's stated goal for AMP is to create a practical path toward fully autonomous factories by enabling robots to learn continuously and make more informed decisions.
Why it matters
KUKA's deployment of its own AI management platform is a major signal that the industrial robotics sector is moving beyond simple, repetitive automation towards 'physical AI.' By integrating AI decision-making directly with factory-floor hardware, platforms like AMP can transform rigid production lines into flexible, adaptive systems. This is a crucial step for manufacturers looking to handle more product variation and respond faster to market changes. For the industry, it represents a tangible application of advanced AI to solve real-world manufacturing challenges, moving the concept of the 'smart factory' from a buzzword to a deployable product.
The Robot Report highlights that AMP "combines industrial automation with AI-driven decision-making to increase operational flexibility." It frames the deployment as "marking a new era for manufacturing." The platform aims to allow robots to better understand their environment and learn from operations, a key step in making autonomous factories a reality.
Following the landmark NHTSA commercial exemption we covered yesterday, Amazon's Zoox saw its approval to operate purpose-built, steering-wheel-free robotaxis formally published in the Federal Register on Friday. The two-year exemption, which allows the deployment of up to 2,500 vehicles annually, cements a critical regulatory precedent as the company prepares to launch its paid service in Las Vegas.
Why it matters
This is a pivotal regulatory milestone for the entire autonomous vehicle industry. By granting an exemption for a vehicle without human controls, the NHTSA is creating a formal pathway for a new class of vehicle to enter the U.S. market. This sets a crucial precedent for how regulators will balance innovation and safety, moving from adapting rules for retrofitted vehicles to creating frameworks for purpose-built autonomous ones. The decision will likely accelerate the commercialization efforts of other AV companies and intensify competition in the robotaxi space.
The Electric Cars Report calls it a "significant regulatory milestone for autonomous vehicle technology." The Federal Register provides the official details of the exemption, effective July 31, 2026, for two years. The Mercury News highlights that the approval pushes the limits of technology, while Global Village Space notes it signals a shift toward "controlled pilot programs and iterative governance" in U.S. AV regulation.
The 'Android for Robotics' Playbook Takes Shape Major players are making strategic moves to own foundational layers of the robotics stack. Google DeepMind's Gemini Robotics 2 aims to be the universal AI brain, while Qualcomm's acquisition of Arduino and new low-cost boards seek to commodify the edge hardware layer, creating an open ecosystem for developers.
Humanoid Robotics Gets a Public Market Valuation Unitree Robotics' IPO on Shanghai's STAR Market establishes the first public valuation for a scaled, profitable humanoid manufacturer. This provides a crucial financial benchmark for the entire sector, contrasting with the high private valuations of pre-revenue competitors and signaling a new phase of market maturity.
Component Tech Advances to Power the Next Wave of Robots Critical hardware components are evolving to meet the demands of physical AI. Samsung SDI is targeting a 2027 mass production date for all-solid-state batteries specifically for robotics, while researchers are developing structural batteries for drones and hot-swappable power systems for industrial humanoids to enable continuous operation.
Industrial Automation Enters a New Phase of Intelligence The focus in industrial robotics is shifting from rigid, pre-programmed automation to intelligent, adaptable systems. Companies like KUKA, Ambi Robotics, and Pickle are deploying AI-driven platforms that connect disparate systems, learn from human intervention, and optimize entire workflows, moving factories closer to full autonomy.
Microrobotics Demonstrates Tangible Medical Breakthroughs Research in microrobotics is translating into concrete medical applications. New developments include magnetically guided microrobots that successfully repaired spinal cord damage in animals, modular nanorobots for targeted cancer drug delivery, and a robotic microsurgery system entering expanded FDA trials for treating Alzheimer's disease.
What to Expect
2026-08-03—ROS OpenEmbedded community meeting to discuss Navigation2, MoveIt2, and other platform updates.
2026-08-05—Unitree Robotics IPO subscription period opens on the Shanghai STAR Market.
2026-08-08—The 2026 Robotics Fair begins in San Mateo, California, showcasing new AI and robotics innovations.
August 2026—BYD is expected to unveil its first humanoid robot.
August 2026—Arduino's new Ventuno Q development board, powered by Qualcomm, is scheduled to begin shipping.
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