Raul Verdusco

@AssemblyMag1 Interesting shift. Policy is clearly shaping supply chains, especially for critical components like drone motors. Local manufacturing is becoming a strategic priority, not just a cost decision. 🛠️🚁

The expansion follows actions from the Federal Communications Commission in December, which added drone motors and other critical components to its national security list. assemblymag.com/articles/99881… #drone #dronetechnology #dronemanufacturing #nationalsecurity #fcc

@Haas_Automation Always satisfying to see machines come together. Compact footprints with full capability are a big win for shop floor efficiency. 🛠️🏭

POV: your new small‑footprint machine is being assembled right now #haascnc #haasautomation #haas #factory #cnc

@AutomationMag Warehouse intelligence platforms are becoming essential as operations grow more complex. Better visibility and coordination can significantly improve throughput, efficiency, and decision-making. Strong move from Dematic. 📦⚙️

New Post: Dematic launches intelligence platform for warehouse operations automationmag.com/dematic-launch…

@automation_com Robotics is clearly moving beyond the factory floor. As AI advances, its impact across logistics, healthcare, and smart cities will only accelerate. Big growth ahead for the industry. 🤖📈

Catch up on the latest featured articles! 📖 Robotics is expanding its impact beyond traditional #manufacturing, now driving innovation in logistics, healthcare and smart cities. With advancements in artificial intelligence and intelligent automation, the robotics sector is poised to play a pivotal role in digital transformation across industries. Read more on our website below. ⤵️ automation.com/article/future…

@OkumaAmerica Nice push toward advanced machining. Moving into 5-axis really expands what’s possible in terms of complex geometries, fewer setups, and better precision. Big step for any shop looking to level up. 🛠️

🌼 If spring is about growth, consider growing into #5axis capabilities. The #GENOS M560V-5AX makes complex parts look easy. Open possibilities await.

@IntEngineering Nice example of simple automation solving a repetitive task. Turning manual scooping into a consistent, efficient process is exactly where machines add the most value. ⚙️

This turbo scooping machine turns what would've been a long repetitive job into an easy fry. 🎥: kris_mold.expert / IG

@Rainmaker1973 Simple but powerful solution. Foldable solar panels are perfect for rapid deployment, providing off-grid power for emergencies, remote sites, or temporary operations. 🌞⚡

Foldable solar panels expand quickly to provide temporary off-grid electricity

@Siemens Exactly. The real impact of AI is on the shop floor. When it improves quality, handles repetitive work, and supports high-mix production, that’s where digital transformation becomes tangible. ⚙️🤖

AI is everywhere. #IndustrialAI is where it counts. ⚙️ At our Electronics Factory Erlangen, AI takes over repetitive tasks, improves quality, and simplifies producing thousands of product variants. That’s #DigitalTransformation in action.

@NVIDIAAIDev Data is becoming the real bottleneck. Better synthetic data and world models can dramatically improve how robots learn rare and complex scenarios. Interesting direction with NVIDIA Cosmos pushing toward more scalable training for physical AI. 🤖🌍

Autonomous vehicles, humanoid robots - even surgical ones — depend on massive, diverse, and physics-aware datasets for training. 🌍 Better models generate better data to train even better downstream models. NVIDIA Cosmos is at the center. New model checkpoints are up to: ✅ Scale synthetic data generation with realism and diversity faster with Transfer 2.5 ✅ Improve long-tail scenario coverage using Predict 2.5 ✅ Faster and advanced vision reasoning with Reason 2 Read how Cosmos WFMs are setting the foundation for the next generation of robots and autonomous systems. 🔗 nvda.ws/4bydrRw

@FANUCAmerica Adaptability is becoming the key differentiator. Robotics is evolving from fixed automation to flexible systems that can adjust to changing production needs in real time. 🤖⚙️

#Manufacturers today face a 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗹𝗮𝗻𝗱𝘀𝗰𝗮𝗽𝗲 defined by rapid🚀 change. 𝗥𝗘𝗔𝗗 𝗠𝗢𝗥𝗘: How #Robotics🤖 Is Evolving to Create More Adaptable #Automation in Modern Manufacturing⬇️ 🔗 bit.ly/4tNXgrB #AI #fanuc

@nvidia Releasing datasets at this scale can significantly accelerate development across multiple domains. More open data means faster iteration, better models, and broader innovation in robotics and autonomy. Strong move from NVIDIA. 🚀

NVIDIA open models provide the foundation to innovate across agentic AI, robotics, autonomous vehicles, and research. 🤖 This release contributes 10 trillion language tokens, 500,000 robotics trajectories, and 100 terabytes of vehicle sensor data to the community. These frameworks are designed to significantly accelerate specialized AI development and discovery. Learn more: nvda.ws/3NvvJe8

Exactly. The problem isn’t robots, it’s the gap between simulation and reality. Bringing tools like NVIDIA Omniverse into RobotStudio is a big step toward validating systems before deployment. That shift from trial-and-error to software-driven design is where real competitive advantage will come from. 🤖⚙️

Factories don’t fail because of robots, they fail because simulation lies. You can design the perfect production line on a screen… Then you build it in real life and everything breaks. Timing is off, grippers miss, materials behave differently, weeks of debugging start. That gap between simulation and reality has quietly been one of the biggest bottlenecks in manufacturing. And it’s expensive. Now this is what’s changing. @ABBRobotics is integrating @NVIDIA Omniverse into RobotStudio to push simulations close to real-world accuracy. Meaning: You don’t “test and hope” anymore you validate before anything is built The impact is very real: • up to 80% faster setup • up to 40% lower costs • ~50% faster time to market Foxconn is already piloting this in electronics assembly where precision and speed decide everything I spoke with Klas Kronander who’s building software to make industrial robots easier to deploy and scale across real production environments. Enodo Robotics is a technology partner to ABB Robotics, collaborating on the development of RobotStudio HyperReal. And this is exactly the shift he’s seeing: Robotics is moving from trial-and-error engineering to software-driven production design. The companies that get this right will move faster than everyone else. The ones that don’t will keep debugging reality.

@XRoboHub @XSquareRobot Interesting approach. Human + robot collaboration in real homes is a practical way to deploy embodied AI today. Let the robot handle repetitive tasks while humans focus on judgment-heavy work. Good step from XSquare Robot toward real-world adoption. 🤖🏠

The future of home cleaning just landed in Shenzhen and it is walking right into your living room. 🤖🏠 @XSquareRobot and 58.com officially launched China’s first robot home service, moving embodied AI from the lab to your front door. When you book a cleaning on the 58.com app, a professional cleaner now shows up with an X Square robot partner to tag team the house. The human handles the tricky stuff that needs real judgment while the robot takes over repetitive tasks like wiping tables and tidying up surfaces. X Square is using an end to end foundation model which means the robot actually perceives and plans its own moves instead of just following a script. By testing in the messy reality of a real home, they are proving that if a robot can master a living room, it can handle almost any physical space. This pilot is part of a massive push to turn these machines into reliable partners that can actually assist in our daily lives.

@CyberRobooo Multi-arm coordination is a powerful concept. Systems like Miro U show how one robot can handle multiple tasks in parallel, reducing cycle time and increasing consistency. If reliability holds, this could reshape how assembly lines are designed. 🤖⚙️

A HUMANOID ROBOT IS LIKE A WHOLE TEAM Midea’s 6-armed industrial humanoid robot, Miro U, is already operational at its washing machine factory in Wuxi: It autonomously performs assembly tasks such as screw picking and fastening. With its 6 arms working in coordination, it is equivalent to three human workers. Miro U is just one member of Midea’s family of humanoid robots. On the consumer front, Midea also offers wheeled home service robots to its vast base of end-users.

@IntEngineering Interesting claim. Speed is one thing, but stability, control, and safety at those speeds will be the real challenge. If Unitree Robotics can balance all three, that would be a big step forward for humanoids. 🤖🏃‍♂️

Unitree has claimed that its humanoid robots may soon rival or surpass human sprinting speeds. bit.ly/475Fx5s

@OkumaAmerica Strong capabilities. Machines like the Okuma MCR-A5CII are built for precision, rigidity, and efficient multi-face machining—ideal for large, high-accuracy components. 🛠️

The Okuma #MCRA5CII #doublecolumn features an automatic attachment changer, rigid construction, and true 5-face machining for high-speed, high-accuracy performance. See what the buzz is about.

@ABBRobotics Clear trend. Rising costs and energy pressures are pushing manufacturers to accelerate automation investments. Smart factories are quickly becoming a necessity, not a choice. ⚙️🏭

Automotive automation accelerates! 🏭🤖 Our survey shows: • 31% increasing robotics investment • 33% prioritize cost control • 34% cite energy costs Smart factories are now essential, not future ambitions. abb.com/global/en/news… #Automation #Robotics #Manufacturing

@lukas_m_ziegler @Zalando @nomagicAI That’s a strong validation of real-world AI in logistics. Handling tricky items like shoeboxes at that scale shows how far vision-based manipulation has come. Big step for Zalando with Nomagic. 🤖📦

50 AI-powered robots deployed by Zalando! 😱 Polish physical AI company just hit the jackpot. 🎰 @Zalando is rolling out up to 50 AI-driven @nomagicAI robots across its European fulfilment network, including a world-first solution for automated shoebox handling. 🇪🇺 The robots, named "Richard," specialize in item-level picking, scanning, and seamless induction into automated pocket sorters. Using Nomagic's AI and computer vision, they recognize materials and shapes to adjust grip in real-time, continuously learning and adapting to shifting inventory. While automation is common in logistics, shoeboxes have historically been one of the most difficult items to automate in fashion logistics. Their loose lids often detach when handled by standard robotic arms. The Shoebox Picker solution combines AI-powered vision with precision custom grippers. Following a successful pilot achieving 100,000 picks per day, Zalando is significantly scaling the partnership. The rollout is underway with deployments in Germany (Lahr, Mönchengladbach, Giessen), Italy (Verona), Netherlands (Rotterdam), Sweden (Stockholm), and France (Paris). This is vision-based manipulation solving real-world logistics problems. Problem solved at 100,000 picks/day scale. 🇪🇺 Thanks for making the CEE region even greater! 🇵🇱 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com

@sciencegirl Great hands-on engineering. Projects like this build real skills in design, control, and teamwork early on. Future engineers in the making. 🤖🏫

The Robotics team from Wissahickon High School in Ambler, Pennsylvania built a robot Miss Daisy XXIV that picks up balls and shoots them into a container.

Multi-arm coordination like this can definitely boost efficiency. Doing several operations simultaneously reduces cycle time and can improve consistency. The challenge will be coordination accuracy, maintenance, and whether the complexity pays off compared to simpler automation. 🤖⚙️

Midea's six armed robot beast is already on the job, but what exactly can it do? 🤖🦾 The MIRO U humanoid is now working at Midea's laundry appliance industrial park in Wuxi. It features six coordinated arms that can lock and fasten six separate screws simultaneously with high precision. Do you think this kind of multi arm coordination will actually boost factory efficiency?