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Cams ARE the original "programmable" automation - these mechanical marvels orchestrate complex sequences without a single line of code. By carefully profiling cam shapes, engineers encode timing, positioning, and sequencing directly into metal. What makes cams brilliant for automation: - Deterministic timing - no software, no edge cases -... Self-synchronising - no syncing clocks of different systems - Incredibly durable - cam-driven machines run for decades - Simple maintenance - mechanics can "read" the program by looking at cam profiles The cam followers, springs, and linkages in machines like this execute intricate routines - bending, cutting, feeding, and positioning with clockwork precision. Each bump and valley on those rotating cams tells a different part of the machine exactly when to move. With all the dancing robots, we sometimes forget how high-tech old-school automation is.show more

Jack 🤖

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40,142 次观看 • 11 个月前 •via X (Twitter)

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Long before modern tech, before robots and automation took over the world, something extraordinary was already happening in ancient China. Around 2400 years ago, a group known as the Mohists turned ideas into real machines. They weren't just thinkers-they were engineers ahead of their time. Led by Mozi (470-391 BCE), these innovators designed mechanical birds that could move on their own, built advanced defensive systems, and explored complex concepts like levers, pulleys, optics, and geometry-centuries before similar developments in the West. Their knowledge was recorded in the Mozi, proving that their creations were not myths, but real engineering achievements. This was a time where philosophy met precision engineering, where creativity turned into functional machines. Automation didn't start in Silicon Valley-it started in ancient China. ancient engineering, Chinese innovation, Mozi philosophy, early automation, mechanical inventions, ancient technology.

Long before modern tech, before robots and automation took over the world, something extraordinary was already happening in ancient China. Around 2400 years ago, a group known as the Mohists turned ideas into real machines. They weren't just thinkers-they were engineers ahead of their time. Led by Mozi (470-391 BCE), these innovators designed mechanical birds that could move on their own, built advanced defensive systems, and explored complex concepts like levers, pulleys, optics, and geometry-centuries before similar developments in the West. Their knowledge was recorded in the Mozi, proving that their creations were not myths, but real engineering achievements. This was a time where philosophy met precision engineering, where creativity turned into functional machines. Automation didn't start in Silicon Valley-it started in ancient China. ancient engineering, Chinese innovation, Mozi philosophy, early automation, mechanical inventions, ancient technology.

Mechanical Knowledge

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Before the part ever touches the machine, it's already been built. This is a 5-axis toolpath, programmed in CAM to map every angle, every pass and every cut. When it's ready, that program goes straight to our DMG MORI. The machine rotates and the tool engages. Then, it executes exactly what you see on screen, with extreme precision. Five axes of motion provide complex geometry in a single setup, with better accuracy. This is precision manufacturing for satellites at our factory in Northern California. 🇺🇸

Before the part ever touches the machine, it's already been built. This is a 5-axis toolpath, programmed in CAM to map every angle, every pass and every cut. When it's ready, that program goes straight to our DMG MORI. The machine rotates and the tool engages. Then, it executes exactly what you see on screen, with extreme precision. Five axes of motion provide complex geometry in a single setup, with better accuracy. This is precision manufacturing for satellites at our factory in Northern California. 🇺🇸

Astranis Space Technologies

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B&R Magnetic Levitation Technology and the Future of Adaptive Manufacturing B&R's ACOPOS 6D marks a shift from traditional conveyor belts to magnetic levitation technology, allowing individual products to move freely through the machine. This system removes the constraints of rigid timing found in conventional transport systems, making it ideal for small-batch production and frequent product changes with varying designs and sizes. Video source: Florian Schneeberger, B&R Automation #automation #manufacturing #IoT #tech #engineering ----------------------- Wanna get your company on Wevolver too? Learn how:

B&R Magnetic Levitation Technology and the Future of Adaptive Manufacturing B&R's ACOPOS 6D marks a shift from traditional conveyor belts to magnetic levitation technology, allowing individual products to move freely through the machine. This system removes the constraints of rigid timing found in conventional transport systems, making it ideal for small-batch production and frequent product changes with varying designs and sizes. Video source: Florian Schneeberger, B&R Automation #automation #manufacturing #IoT #tech #engineering ----------------------- Wanna get your company on Wevolver too? Learn how:

Wevolver

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Why add sensors and complex systems when physics can do the job? This production line sorts products using only weight and controlled bursts of air. ✅ No cameras or vision models ✅ No expensive integration ✅ Just reliable, repeatable separation at scale It’s a reminder that not every automation breakthrough is about AI or advanced robotics... sometimes simple mechanical principles are the most efficient solution. —- Weekly robotics and AI insights. Subscribe free:

Why add sensors and complex systems when physics can do the job? This production line sorts products using only weight and controlled bursts of air. ✅ No cameras or vision models ✅ No expensive integration ✅ Just reliable, repeatable separation at scale It’s a reminder that not every automation breakthrough is about AI or advanced robotics... sometimes simple mechanical principles are the most efficient solution. —- Weekly robotics and AI insights. Subscribe free:

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A metal origami! 🪭 This method is called Hyperbolic Metal Forming and is hypnotizing to watch. Instead of shaping metal with slow mechanical force, HMF uses controlled shockwaves to form complex geometries at extreme speed, often without the need for heavy dies or post-processing. The result is stronger, lighter parts with shapes that are almost impossible using traditional stamping. That’s why you see it popping up in aerospace, automotive structures, and defense components. Think of it like metal origami, but driven by high-energy pulses instead of presses. A small reminder that some things in manufacturing come from physics, not just automation. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

A metal origami! 🪭 This method is called Hyperbolic Metal Forming and is hypnotizing to watch. Instead of shaping metal with slow mechanical force, HMF uses controlled shockwaves to form complex geometries at extreme speed, often without the need for heavy dies or post-processing. The result is stronger, lighter parts with shapes that are almost impossible using traditional stamping. That’s why you see it popping up in aerospace, automotive structures, and defense components. Think of it like metal origami, but driven by high-energy pulses instead of presses. A small reminder that some things in manufacturing come from physics, not just automation. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

567,473 次观看 • 7 个月前

🚨 MACHINES MAY SOON SEE THE WORLD LIKE HUMANS A US company has unveiled what it calls the world’s first “native color lidar” system giving machines the ability to perceive depth, distance, and color simultaneously. Unlike traditional lidar systems that need separate cameras, this new technology captures full 3D color information directly at the point of detection. In simple terms: Machines may soon understand the world more like human vision instead of just measuring shapes and distance. Why this matters: This could dramatically improve: • self-driving cars • robotics • drones • factory automation • AI navigation • autonomous machines The system can reportedly process over 10 million points every second and detect objects nearly 1,640 feet away. Researchers say this could become one of the key technologies powering the next generation of “Physical AI” where machines don’t just calculate the world… They visually understand it. We may be watching the birth of machine perception in real time. Follow for more future technology and AI discoveries.

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Introducing: Universal Machine Time (UMT) 🕐 The world’s first onchain precision clock for machines, robots, and DePINs to run in perfect sync Can you imagine our world and economy without time zones? UMT is to machines what UTC is for humans 🧵

Introducing: Universal Machine Time (UMT) 🕐 The world’s first onchain precision clock for machines, robots, and DePINs to run in perfect sync Can you imagine our world and economy without time zones? UMT is to machines what UTC is for humans 🧵

peaq

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Small bits from a huge project I did for Ocado and their Intelligent Automation branch. People from the UK are probably familiar with their Online Supermarket, but they’re one of the leading companies in the automation world. We visualised over 12 different products. Can’t wait to show you more.

Small bits from a huge project I did for Ocado and their Intelligent Automation branch. People from the UK are probably familiar with their Online Supermarket, but they’re one of the leading companies in the automation world. We visualised over 12 different products. Can’t wait to show you more.

PeterTarka

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Horny and waiting for the delivery man to turn up 😏 so join me on cam till then Bs cams and AW 😍😍

Horny and waiting for the delivery man to turn up 😏 so join me on cam till then Bs cams and AW 😍😍

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12,373 次观看 • 2 年前

The industrial fabrication of high-tension helical springs relies on heavy-duty CNC coiling machines to transform raw steel wire into precise mechanical components. As shown in the image, the machine utilizes a series of feed rollers and forming points to guide the wire into a specific diameter and pitch, creating the characteristic spiral shape used in automotive and industrial suspension systems. This cold-forming process requires immense mechanical force and high-precision calibration to ensure consistent spring rates and structural integrity. Once the desired length is reached, an integrated cutting blade shears the wire, allowing the finished coil to drop into a collection chute for subsequent heat treatment and stress-relieving processes.

The industrial fabrication of high-tension helical springs relies on heavy-duty CNC coiling machines to transform raw steel wire into precise mechanical components. As shown in the image, the machine utilizes a series of feed rollers and forming points to guide the wire into a specific diameter and pitch, creating the characteristic spiral shape used in automotive and industrial suspension systems. This cold-forming process requires immense mechanical force and high-precision calibration to ensure consistent spring rates and structural integrity. Once the desired length is reached, an integrated cutting blade shears the wire, allowing the finished coil to drop into a collection chute for subsequent heat treatment and stress-relieving processes.

Mechanical Knowledge

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One trader printing money with ClawdBot I’m not exaggerating. What he built is pretty wild: He auto-trades BTC / ETH Focused on 15-minute up/down moves Catching CEX lags and inefficiencies No Wall Street setup No big team Just smart automation Profile: Copytrade: How it works: Short-term moves The system trades 15-minute ups and downs on major coins. It’s not long-term investing - it’s micro-timing. Exchange inefficiencies It looks for small price lags on CEXs and reacts fast. When there’s a mismatch, it jumps in. Scale & frequency 500+ trades per week. Each trade targets tiny edges. Those small gains stack and compound. The surprising part All of it came from prompting Claude to generate code. No dev degree needed. Bottom line High frequency Small edges Heavy compounding Automation over emotion.

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Modern robotic wrist joints often use timing belt differentials to achieve smooth, multi-axis movement within compact spaces. By distributing motion through synchronized belt systems, a single actuator can control multiple rotational outputs with high precision. This design reduces weight, minimizes backlash, and allows for more efficient force transmission compared to traditional gear-based systems. It is widely used in robotic arms where accuracy, responsiveness, and compactness are critical. The result is more natural, fluid motion-bringing robotic systems closer to human-like dexterity in industrial and automation applications.

Modern robotic wrist joints often use timing belt differentials to achieve smooth, multi-axis movement within compact spaces. By distributing motion through synchronized belt systems, a single actuator can control multiple rotational outputs with high precision. This design reduces weight, minimizes backlash, and allows for more efficient force transmission compared to traditional gear-based systems. It is widely used in robotic arms where accuracy, responsiveness, and compactness are critical. The result is more natural, fluid motion-bringing robotic systems closer to human-like dexterity in industrial and automation applications.

Mechanical Knowledge

117,547 次观看 • 3 个月前

🚀Big news! Chirpley’s Daily Task Feature is now LIVE! With this new feature, Brands can run much longer lasting campaigns (without breaking their banks) and the creators make a much more consistent income through data-driven results (all with complete automation) 📈Here’s how to get the most out of it 3 simple steps!

🚀Big news! Chirpley’s Daily Task Feature is now LIVE! With this new feature, Brands can run much longer lasting campaigns (without breaking their banks) and the creators make a much more consistent income through data-driven results (all with complete automation) 📈Here’s how to get the most out of it 3 simple steps!

Chirpley🐦

224,807 次观看 • 1 年前

🚨 BREAKING — one of the strongest OpenClaw setups on Polymarket just went public. A trader reportedly started with ~$100–200 and scaled it to ~$3.7M. No insider access. No political connections. Just a developer running his own automation built with OpenClaw. Profile → Copytrade → I went through the framework myself. What surprised me: There’s no huge infrastructure. No complex quant stack. No giant data pipelines. Just clean logic and disciplined automation. After about 8 hours analyzing it, the strategy breaks down into three parts. 1) “Free money” via NO positions The bot targets outcomes with near-zero probability. Instead of chasing big wins, it accumulates a massive number of small high-probability NO trades. Not speculation — systematic probability harvesting. 2) Logical arbitrage Sometimes Outcome A logically implies Outcome B, but markets don’t adjust instantly. The bot detects these inconsistencies and enters before repricing happens. By the time the headline reaches traders, the window is already closed. 3) Retail-driven markets Sports and political markets are dominated by retail flow and emotional reactions. Prices overshoot, spreads widen, and inefficiencies appear constantly. The bot sits in those gaps and clips small edges repeatedly. Scale is the edge. 4,192 trades executed. Individually small. Together they compounded into roughly ~$3.7M profit. Largest single win: $1,464,152. The equity curve is almost vertical. It’s not about predicting events. It’s about exploiting structural inefficiencies faster than the crowd.

Discover

186,472 次观看 • 4 个月前

💥 New Product Launch 💥 After two years of development, Metal is launching Autopilot -- our automation platform that draws on proprietary intelligence to run the round process for founders. Our thesis is simple -- in the future, founders that are best positioned to raise will not run the round process themselves. Instead, they will use the right tools to automate in ways that create unique advantages. From research, round collateral and pipeline formation to building calendar density, Metal Autopilot brings precision via proprietary intelligence and speed via AI-driven automation. Link to join the waitlist below.

💥 New Product Launch 💥 After two years of development, Metal is launching Autopilot -- our automation platform that draws on proprietary intelligence to run the round process for founders. Our thesis is simple -- in the future, founders that are best positioned to raise will not run the round process themselves. Instead, they will use the right tools to automate in ways that create unique advantages. From research, round collateral and pipeline formation to building calendar density, Metal Autopilot brings precision via proprietary intelligence and speed via AI-driven automation. Link to join the waitlist below.

Usman Gul

292,611 次观看 • 11 天前

No robots. No vision. No AI. Just a vibratory bowl feeder, a 2-axis pick-and-place, a turntable, and a gravity slide. This is the automation that actually runs the world. Bowl feeders have been orienting parts since the 1950s. Vibration and geometry—nothing else. Parts walk up a spiral track and fall into line. Pneumatic cylinders move on two axes—up/down and rotate. Hard stops set the positions. No encoders. No feedback loops. Just air pressure hitting a mechanical limit. Air jets blow parts down the slides. Gravity gets a helping hand from a tiny pulse of air to keep the flow consistent. Inflexible? Absolutely. One product, one machine. But for high-volume production, nothing beats it on cost, speed, or reliability. The unsexy backbone of manufacturing.

No robots. No vision. No AI. Just a vibratory bowl feeder, a 2-axis pick-and-place, a turntable, and a gravity slide. This is the automation that actually runs the world. Bowl feeders have been orienting parts since the 1950s. Vibration and geometry—nothing else. Parts walk up a spiral track and fall into line. Pneumatic cylinders move on two axes—up/down and rotate. Hard stops set the positions. No encoders. No feedback loops. Just air pressure hitting a mechanical limit. Air jets blow parts down the slides. Gravity gets a helping hand from a tiny pulse of air to keep the flow consistent. Inflexible? Absolutely. One product, one machine. But for high-volume production, nothing beats it on cost, speed, or reliability. The unsexy backbone of manufacturing.

Jack 🤖

39,565 次观看 • 7 个月前

Have you ever heard of the three-body problem? This video explains a really fascinating and complex concept in a simple way! Here's the idea: When two stars orbit each other, their motion is very orderly and predictable. But when a third star enters the picture, everything falls apart! The gravity of each star affects the other two, creating a completely chaotic and unpredictable cosmic dance. It's like three people trying to dance together with no rules, constantly bumping into each other! No one can say exactly what their next move will be.

Have you ever heard of the three-body problem? This video explains a really fascinating and complex concept in a simple way! Here's the idea: When two stars orbit each other, their motion is very orderly and predictable. But when a third star enters the picture, everything falls apart! The gravity of each star affects the other two, creating a completely chaotic and unpredictable cosmic dance. It's like three people trying to dance together with no rules, constantly bumping into each other! No one can say exactly what their next move will be.

Kekius Maximus

41,949 次观看 • 6 个月前

Chinese factories can build a car in 77 seconds, with robots doing the work at a scale the U.S. cannot match right now. And Trump is out here talking about tariffs like they are a magic switch that makes America “make things again.” Look at the automation in that kind of plant. Even with tariffs, it would take the U.S. decades, realistically 40 years, to rebuild the industrial base and the machine building capability needed to produce that level of robotics at scale, then stack enough volume to get true economies of scale. And for what, exactly. U.S. cars barely have a market outside the U.S. Meanwhile China builds for the world. As for the rest of the planet watching America’s tariff daydreams: couldn’t the world care less.

Chinese factories can build a car in 77 seconds, with robots doing the work at a scale the U.S. cannot match right now. And Trump is out here talking about tariffs like they are a magic switch that makes America “make things again.” Look at the automation in that kind of plant. Even with tariffs, it would take the U.S. decades, realistically 40 years, to rebuild the industrial base and the machine building capability needed to produce that level of robotics at scale, then stack enough volume to get true economies of scale. And for what, exactly. U.S. cars barely have a market outside the U.S. Meanwhile China builds for the world. As for the rest of the planet watching America’s tariff daydreams: couldn’t the world care less.

Gandalv

360,670 次观看 • 4 个月前

No way Bryce Young did exactly what Cam Newton did 10 years ago with the season on the line

No way Bryce Young did exactly what Cam Newton did 10 years ago with the season on the line

NFL Memes

52,809 次观看 • 6 个月前

Ginkgo's modular automation has been on a tear lately! We are able to install our modular automation INSIDE a large anaerobic chamber for Pacific Northwest National Laboratory (PNNL)! Really excited for the scale of experimentation they will be able to do to advance science for the bioeconomy. These are the sort of large, flexible "cloud labs" that were recently described in the President's AI Action Plan as being key for using AI to advance science. If you are looking for a scalable (up to 100+ instruments in a single setup) and flexible automation solution -- we have it ready off the shelf for you.

Ginkgo's modular automation has been on a tear lately! We are able to install our modular automation INSIDE a large anaerobic chamber for Pacific Northwest National Laboratory (PNNL)! Really excited for the scale of experimentation they will be able to do to advance science for the bioeconomy. These are the sort of large, flexible "cloud labs" that were recently described in the President's AI Action Plan as being key for using AI to advance science. If you are looking for a scalable (up to 100+ instruments in a single setup) and flexible automation solution -- we have it ready off the shelf for you.

Jason Kelly

16,117 次观看 • 11 个月前