Qualcomm and Arduino have unveiled the Arduino Ventuno Q, a new AI-focused single-board computer built for robotics and edge systems. Engadget reports: Called the Arduino Ventuno Q, it uses Qualcomm's Dragonwing IQ8 processor along with a dedicated STM32H5 low-latency microcontroller (MCU). "Ventuno Q is engineered specifically for systems that move, manipulate and respond to the physical world with precision and reliability," the company wrote on the product page. The Ventuno Q is more sophisticated (and expensive) than Arduinio's usual AIO boards, thanks to the Dragonwing IQ8 processor that includes an 8-core ARM Cortex CPU, Adreno Arm Cortex A623 GPU and Hexagon Tensor NPU that can hit up ot 40 TOPs. It also comes with 16GB of LPDDR5 RAM, along with 64GB of eMMC storage and an M.2 NVME Gen.4 slot to expand that. Other features include Wi-Fi 6, Bluetooth 5.3, 2.5Gbps ethernet and USB camera support. The Ventuno Q includes Arudino App Lab, with pre-trained AI models including LLMs, VLMs, ASR, gesture recognition, pose estimation and object tracking, all running offline. It's designed for AI systems that run entirely offline like smart kiosks, healthcare assistants and traffic flow analysis, along with Edge AI vision and sensing systems. It also supports a full robotics stack including vision processing combined with deterministic motor control for precise vision and manipulation. It's also ideal for education and research in areas like computer vision, generative AI and prototyping at the edge, according to Arduino. Further reading: Up Next for Arduino After Qualcomm Acquisition: High-Performance Computing

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CNN reports on a company called Automated Architecture (AUAR) which makes "portable" micro-factories that use a robotic arm to produce wooden framing for houses (the walls, floors and roofs): Co-founder Mollie Claypool says the micro-factories will be able to produce the panels quicker, cheaper and more precisely than a timber framing crew, freeing up carpenters to focus on the construction of the building... The micro-factory fits into a shipping container which is sent to the building site along with an operator. Inside the factory, a robotic arm measures, cuts and nails the timber into panels up to 22 feet (6.7 meters) long, keeping gaps for windows and doors, and drilling holes for the wiring and plumbing. The contractor then fits the panels by hand. One micro-factory can produce the panels for a typical house in about a day — a process which, according to Claypool, would take a normal timber framing crew four weeks — and is able to produce framing for buildings up to seven stories tall... She says their service is 30% cheaper than a standard timber framing crew, and up to 15% cheaper than buying panels from large factories and shipping them to a site... She adds that the precision of the micro-factories means that the panels fit together tightly, reducing the heat loss of the final home, making them more energy efficient. AUAR currently has three micro-factories operating in the US and EU, with five more set to be delivered this year... AUAR has raised £7.7 million ($10.3 million) to date, and is expanding into the US, where a lack of housing and preference for using wood makes it a large potential market. There's other companies producing wooden or modular housing components, the article points out. But despite the automation, the company's co-founder insists to CNN that "Automation isn't replacing jobs. Automation is filling the gap." The UK's Construction Industry Training Board found that the country will need 250,000 more workers by 2028 to meet building targets but in 2023, more people left the industry than joined.

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"OpenAI's former chief research officer is raising $70 million for a new startup building an AI and software platform to automate manufacturing," reports the Wall Street Journal, citing "people familiar with the matter. "Arda, the new startup co-founded by Bob McGrew, is raising at a valuation of $700 million, according to people familiar with the matter...." Arda is developing an AI and software platform, including a video model that can analyze footage from factory floors and use it to train robots to run factories autonomously, the people said. The company's software will coordinate machines and humans across the entire production process, from product design and manufacturability to finished goods coming off the line. The startup's goal is to make manufacturing cost effective in the Western part of the globe, reducing reliance on China as geopolitical and national security concerns rise... At OpenAI, McGrew was tasked with training robots to do tasks in the physical world, according to this LinkedIn. McGrew was also one of the earliest employees at Palantir.

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Long-time Slashdot reader fahrbot-bot writes: Researchers have developed a robotic hand that can not only skitter about on its fingertips, it can also bend its fingers backward, connect and disconnect from a robotic arm, and pick up and carry one or more objects at a time. This article in Science News includes footage of the robotic arm reattaching itself to the skittering robot hand, which can also hold objects against both sides of its palm simultaneously, and "can even unscrew the cap off a mustard bottle while holding the bottle in place." With its unusual agility, it could navigate and retrieve objects in spaces too confined for human hands. When attached to the mechanical arm, the robotic hand could pick up objects much like a human hand. The bot pinched a ball between two fingers, wrapped four fingers around a metal rod and held a flat disc between fingers and palm. But the bot isn't constrained by human anatomy... When the robot was separated from the arm, it was most stable walking on four or five fingers and using one or two fingers for grabbing and carrying things, the team found. In one set of trials with both bots, the hand detached from the robotic arm and used its fingers as legs to skitter over to a wooden block. Once there, it picked up the block with one finger and carried it back to the arm. The crawling bot could one day aid in industrial inspections of pipes and equipment too small for a human or larger robot to access, says Xiao Gao, a roboticist now at Wuhan University in China. It might retrieve objects in a warehouse or navigate confined spaces in disaster response efforts.

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A software engineer tried steering his robot vacuum with a videogame controller, reports Popular Science — but ended up with "a sneak peak into thousands of people's homes." While building his own remote-control app, Sammy Azdoufal reportedly used an AI coding assistant to help reverse-engineer how the robot communicated with DJI's remote cloud servers. But he soon discovered that the same credentials that allowed him to see and control his own device also provided access to live camera feeds, microphone audio, maps, and status data from nearly 7,000 other vacuums across 24 countries. The backend security bug effectively exposed an army of internet-connected robots that, in the wrong hands, could have turned into surveillance tools, all without their owners ever knowing. Luckily, Azdoufal chose not to exploit that. Instead, he shared his findings with The Verge, which quickly contacted DJI to report the flaw... He also claims he could compile 2D floor plans of the homes the robots were operating in. A quick look at the robots' IP addresses also revealed their approximate locations. DJI told Popular Science the issue was addressed "through two updates, with an initial patch deployed on February 8 and a follow-up update completed on February 10."

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Recently a small crowd paid to watch robots boxing, reports Rest of World. (Almost 3,000 people have now watched the match's 83-minute webcast.) The match was organized by Rek, a San Francisco-based company, and drew hundreds of spectators who had paid about $60-$80 for a ticket to watch modified G1 robots go at each other. Made by Unitree, the dominant Chinese robot maker, they weighed in at around 80 pounds and stood 4.5 feet tall, with human-like hands and dozens of joint motors for flexibility. The match had all the bells and whistles of a regular boxing bout: pulsing music, cameras capturing all the angles, hyped-up introductions, a human referee, and even two commentators. The evening featured two bouts made up of five rounds, each lasting 60 seconds. The robots pranced around the cage, throwing jabs and punches, drawing ohs and ahs from the crowd. They fell sometimes, and needed human intervention to get them back on their feet. The robots were controlled by humans using VR interfaces, which led to some odd moments with robots hitting into the air, throwing multiple punches that failed to even connect with their opponents. One robot controller was a former UFC fighter, the article points out, but "The crowd cheered as a 13-year-old VR pilot named Dash beat his older competitor...." The company behind this event plans more boxing matches with their VR-controlled robots, and even wants to develop "a league of robot boxers, including full-height robots that weigh about 200 pounds and are nearly 6 feet tall."

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Starbucks has been pouring hundreds of millions of dollars into AI and automation -- testing robots that take drive-through orders, virtual assistants that help baristas recall recipes and manage schedules, and scanning tools that count inventory -- as the 55-year-old coffee chain tries to reverse several years of struggling sales. The company last week reported its first same-store sales increase in two years in the U.S., where it earns roughly 70% of its revenue. Shares still slid 5% on concerns that heavy spending, including $500 million to boost staffing, had hurt profits. CEO Brian Niccol, who joined in 2024 after engineering Chipotle's turnaround, told the BBC he is confident consistent growth will address that; the company has pledged to find $2 billion in cost savings over three years.

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Researchers at the University of Pennsylvania and University of Michigan "have created the world's smallest fully programmable, autonomous robots," according to a recent announcement. The announcement calls them "microscopic swimming machines that can independently sense and respond to their surroundings, operate for months and cost just a penny each." Barely visible to the naked eye, each robot measures about 200 by 300 by 50 micrometers, smaller than a grain of salt. Operating at the scale of many biological microorganisms, the robots could advance medicine by monitoring the health of individual cells and manufacturing by helping construct microscale devices. Powered by light, the robots carry microscopic computers and can be programmed to move in complex patterns, sense local temperatures and adjust their paths accordingly... "We've made autonomous robots 10,000 times smaller," says Marc Miskin, Assistant Professor in Electrical and Systems Engineering at Penn Engineering and the papers' senior author. "That opens up an entirely new scale for programmable robots." The announcement describes them as "the first truly autonomous, programmable robots at this scale" (as described in two recent academic articles). The team had to design a new propulsion system that utilized the unique locomotion physics in the microscopic realm, according to the university's announcement. So the robots "generate an electrical field that nudges ions in the surrounding solution." Those ions, in turn, push on nearby water molecules, animating the water around the robot's body. "It's as if the robot is in a moving river," says Miskin, "but the robot is also causing the river to move." The robots can adjust the electrical field that causes the effect, allowing them to move in complex patterns and even travel in coordinated groups, much like a school of fish, at speeds of up to one body length per second... To be truly autonomous, a robot needs a computer to make decisions, electronics to sense its surroundings and control its propulsion, and tiny solar panels to power everything, and all that needs to fit on a chip that is a fraction of a millimeter in size. This is where David Blaauw's team at the University of Michigan came into action... The robots are programmed by pulses of light that also power them. Each robot has a unique address that allows the researchers to load different programs on each robot. "This opens up a host of possibilities," adds Blaauw, "with each robot potentially performing a different role in a larger, joint task." Thanks to long-time Slashdot reader fahrbot-bot for sharing the news.

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