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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...

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Mechanical Knowledge

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117,717 görüntüleme • 4 ay önce •via X (Twitter)

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NEURALINK: WHERE YOUR THOUGHTS LITERALLY CONTROL THE WORLD AROUND YOU It’s not imagination. It’s movement, precision, and control, all from the mind alone. •⁠ ⁠Neuralink bypasses broken pathways, restoring motion through direct brain signals •⁠ ⁠Thought turns into action in under 100ms: faster than most natural reflexes •⁠ ⁠Robotic limbs respond instantly, moving like seamless extensions of your body •⁠ ⁠Users play games, browse, and type with pure intention, no movement required •⁠ ⁠This is more than tech; it’s the foundation of human-AI symbiosis The mind-machine merge has started, rewriting what it means to be human forever. Source: xAI, Massachusetts Institute of Technology (MIT)
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NEURALINK: WHERE YOUR THOUGHTS LITERALLY CONTROL THE WORLD AROUND YOU It’s not imagination. It’s movement, precision, and control, all from the mind alone. •⁠ ⁠Neuralink bypasses broken pathways, restoring motion through direct brain signals •⁠ ⁠Thought turns into action in under 100ms: faster than most natural reflexes •⁠ ⁠Robotic limbs respond instantly, moving like seamless extensions of your body •⁠ ⁠Users play games, browse, and type with pure intention, no movement required •⁠ ⁠This is more than tech; it’s the foundation of human-AI symbiosis The mind-machine merge has started, rewriting what it means to be human forever. Source: xAI, Massachusetts Institute of Technology (MIT)

Mario Nawfal

99,457 görüntüleme • 6 ay önce

🤖 Robotic hands are evolving faster than we realize — and they’re learning to master our world. I find this both fascinating and a little unsettling. At first glance, these robotic hands still look awkward - stiff fingers, clumsy motion. But behind the scenes, every iteration brings: ➡️ Tighter sensors ➡️ Smarter control loops ➡️ Better training on human-designed objects Week by week, they move closer to something astonishing — not imitation, but mastery. They’re learning to grip, twist, and adapt to tools made for our anatomy. And once they reach human-level dexterity, they won’t stop there. They’ll surpass it — steadier than surgeons, faster than assembly lines, tireless and precise. This is more than robotics. It’s the moment machines stop mimicking us… and start outperforming us. How do we redefine “human skill” in a world where robots master it too? #AI #Robotics #Innovation #Technology #Automation #FutureOfWork #Engineering
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🤖 Robotic hands are evolving faster than we realize — and they’re learning to master our world. I find this both fascinating and a little unsettling. At first glance, these robotic hands still look awkward - stiff fingers, clumsy motion. But behind the scenes, every iteration brings: ➡️ Tighter sensors ➡️ Smarter control loops ➡️ Better training on human-designed objects Week by week, they move closer to something astonishing — not imitation, but mastery. They’re learning to grip, twist, and adapt to tools made for our anatomy. And once they reach human-level dexterity, they won’t stop there. They’ll surpass it — steadier than surgeons, faster than assembly lines, tireless and precise. This is more than robotics. It’s the moment machines stop mimicking us… and start outperforming us. How do we redefine “human skill” in a world where robots master it too? #AI #Robotics #Innovation #Technology #Automation #FutureOfWork #Engineering

Pascal Bornet

97,867 görüntüleme • 7 ay önce

Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.
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Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.

Robora

23,489 görüntüleme • 10 ay önce

5-Axis CNC machining of turbocharger impellers sits in the same league as aerospace manufacturing, precision engineering pushed to physical limits. These machines run with positional accuracy in the 1-5 micron range, spindle speeds of 20,000-40,000 RPM, and continuous 5-axis interpolation to carve complex blade geometry without collision, vibration, or thermal drift during cutting of nickel alloys and titanium. A production-grade 5-axis system for impellers typically costs $300,000 to $3 million+ The real constraint is not motion, but stability, suppressing chatter, tool deflection, and microscopic surface defects that would quietly destroy efficiency at 100,000+ RPM operating cycles. Without this class of machining, modern turbocharged engines, high-efficiency industrial compressors, and compact propulsion systems simply would not exist.
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5-Axis CNC machining of turbocharger impellers sits in the same league as aerospace manufacturing, precision engineering pushed to physical limits. These machines run with positional accuracy in the 1-5 micron range, spindle speeds of 20,000-40,000 RPM, and continuous 5-axis interpolation to carve complex blade geometry without collision, vibration, or thermal drift during cutting of nickel alloys and titanium. A production-grade 5-axis system for impellers typically costs $300,000 to $3 million+ The real constraint is not motion, but stability, suppressing chatter, tool deflection, and microscopic surface defects that would quietly destroy efficiency at 100,000+ RPM operating cycles. Without this class of machining, modern turbocharged engines, high-efficiency industrial compressors, and compact propulsion systems simply would not exist.

Ammanichanda

48,750 görüntüleme • 1 ay önce

🚨 SCIENTISTS JUST BUILT A CHIP THAT CAN SEE, THINK, AND REMEMBER ALL AT THE SAME TIME. And it works more like a biological brain than a traditional computer. Researchers at RMIT University have created a neuromorphic vision chip that mimics the human eye and brain. Unlike conventional systems that capture images and send data to external processors, this chip performs sensing, processing, and memory storage directly where the light hits. The active layer is thousands of times thinner than a human hair. It uses doped indium oxide to detect light, process the information on-chip, and retain what it sees over time without constant electrical refreshing. Why this matters: • It dramatically cuts energy use and latency by eliminating data transfer to separate processors • Enables much faster real-time decision making for autonomous systems • Works more like biological vision than traditional machine vision • Could power the next generation of efficient edge AI in vehicles, robots, and remote sensors The deeper implication: For decades, we’ve built vision systems by bolting cameras, processors, and memory together like separate organs. This chip collapses those functions into one biological-style unit. It’s a step toward machines that don’t just “see” but actually perceive and remember in a more efficient, brain-like way. If scaled successfully, it could become a foundational component for autonomous systems that need to operate intelligently with minimal power and minimal delay. We’re moving from cameras that take pictures to chips that truly see. How do you think neuromorphic vision chips like this will change what’s possible for self-driving cars and autonomous robots? Follow for more frontier neuromorphic computing, AI hardware, and brain-inspired technology.
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🚨 SCIENTISTS JUST BUILT A CHIP THAT CAN SEE, THINK, AND REMEMBER ALL AT THE SAME TIME. And it works more like a biological brain than a traditional computer. Researchers at RMIT University have created a neuromorphic vision chip that mimics the human eye and brain. Unlike conventional systems that capture images and send data to external processors, this chip performs sensing, processing, and memory storage directly where the light hits. The active layer is thousands of times thinner than a human hair. It uses doped indium oxide to detect light, process the information on-chip, and retain what it sees over time without constant electrical refreshing. Why this matters: • It dramatically cuts energy use and latency by eliminating data transfer to separate processors • Enables much faster real-time decision making for autonomous systems • Works more like biological vision than traditional machine vision • Could power the next generation of efficient edge AI in vehicles, robots, and remote sensors The deeper implication: For decades, we’ve built vision systems by bolting cameras, processors, and memory together like separate organs. This chip collapses those functions into one biological-style unit. It’s a step toward machines that don’t just “see” but actually perceive and remember in a more efficient, brain-like way. If scaled successfully, it could become a foundational component for autonomous systems that need to operate intelligently with minimal power and minimal delay. We’re moving from cameras that take pictures to chips that truly see. How do you think neuromorphic vision chips like this will change what’s possible for self-driving cars and autonomous robots? Follow for more frontier neuromorphic computing, AI hardware, and brain-inspired technology.

TheNewPhysics

23,196 görüntüleme • 1 ay önce

This is an 80,000-tonne hydraulic forging press from China’s Northern Heavy Industries, one of the largest metal-forming machines ever built. But it is not simply a machine that bends metal like traditional presses do. At this scale, forging is about changing the internal structure of the material itself, compressing the metal, refining its molecular grain flow and eliminating hidden defects that could cause failure decades later. Machines like this are used to create some of the most critical components on Earth, aircraft landing gear, titanium aerospace structures, nuclear reactor components, massive gas turbine rotors and ship propulsion shafts. The metals being forged are among the most advanced engineering materials available, ultra-high-strength steels, titanium alloys and nickel-based superalloys designed to survive extreme temperatures, pressure and millions of fatigue cycles. An 80,000-tonne press is an industrial ecosystem by itself. The press, hydraulic systems, furnaces, manipulators and supporting infrastructure can require hundreds of millions of dollars in investment, with hydraulic systems requiring tens of megawatts of power to control forces equivalent to thousands of tonnes. The biggest industrial machines often do not make the final products. They make the materials that make those products possible.
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This is an 80,000-tonne hydraulic forging press from China’s Northern Heavy Industries, one of the largest metal-forming machines ever built. But it is not simply a machine that bends metal like traditional presses do. At this scale, forging is about changing the internal structure of the material itself, compressing the metal, refining its molecular grain flow and eliminating hidden defects that could cause failure decades later. Machines like this are used to create some of the most critical components on Earth, aircraft landing gear, titanium aerospace structures, nuclear reactor components, massive gas turbine rotors and ship propulsion shafts. The metals being forged are among the most advanced engineering materials available, ultra-high-strength steels, titanium alloys and nickel-based superalloys designed to survive extreme temperatures, pressure and millions of fatigue cycles. An 80,000-tonne press is an industrial ecosystem by itself. The press, hydraulic systems, furnaces, manipulators and supporting infrastructure can require hundreds of millions of dollars in investment, with hydraulic systems requiring tens of megawatts of power to control forces equivalent to thousands of tonnes. The biggest industrial machines often do not make the final products. They make the materials that make those products possible.

Ammanichanda

229,590 görüntüleme • 5 gün önce

China now has its own “Bolt” — a robot named after sprint legend Usain Bolt. A Chinese research team has unveiled the world’s first full-size humanoid robot to reach a peak speed of 10 meters per second, setting a new global benchmark for humanoid running. Bolt runs like a body pushed to the limit. Its joints and power systems work in tight coordination, keeping it balanced even at sprint speed. Built to match the build of an adult man—1.75 meters tall and 75 kilograms—it is a life-sized system operating at the edge of physics. Compared with Usain Bolt’s iconic 9.58-second 100-meter world record, which many experts believe may stand for decades, the gap between humans and machines is narrowing fast. Chinese robots are now challenging the ceiling of human performance—much as AlphaGo once challenged Go champion Ke Jie. The breakthrough builds on earlier world-record achievements in high-speed robotic running and marks a giant leap for China in humanoid motion and control. Beyond records, Bolt also carries practical value: robots are leaving the lab and stepping into real-world settings—sports training, emergency response, and demanding industrial tasks where speed, balance and control truly matter.
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China now has its own “Bolt” — a robot named after sprint legend Usain Bolt. A Chinese research team has unveiled the world’s first full-size humanoid robot to reach a peak speed of 10 meters per second, setting a new global benchmark for humanoid running. Bolt runs like a body pushed to the limit. Its joints and power systems work in tight coordination, keeping it balanced even at sprint speed. Built to match the build of an adult man—1.75 meters tall and 75 kilograms—it is a life-sized system operating at the edge of physics. Compared with Usain Bolt’s iconic 9.58-second 100-meter world record, which many experts believe may stand for decades, the gap between humans and machines is narrowing fast. Chinese robots are now challenging the ceiling of human performance—much as AlphaGo once challenged Go champion Ke Jie. The breakthrough builds on earlier world-record achievements in high-speed robotic running and marks a giant leap for China in humanoid motion and control. Beyond records, Bolt also carries practical value: robots are leaving the lab and stepping into real-world settings—sports training, emergency response, and demanding industrial tasks where speed, balance and control truly matter.

Sinical

111,374 görüntüleme • 6 ay önce

This isn’t teleportation in the sci-fi sense. It’s something deeper and more fundamental. What’s actually happening is quantum state transfer, where information is reconstructed at another location using entanglement. But here’s the interesting part In my τ-framework, this works because reality isn’t continuous in the way we think. It’s structured through a time-field, where information exists as stable patterns across a temporal lattice. When two systems are entangled, they’re not “connected through space”… they’re sharing the same underlying time-structure. So the information doesn’t travel across distance. It reappears where the time-field allows the same pattern to stabilize. That’s why it looks instant. Not because it breaks physics but because it bypasses distance entirely. If this is correct, then teleportation isn’t movement… it’s reconstruction through temporal symmetry. The real question is: Can we control the time-field enough to scale this beyond quantum systems? Follow me for more answers
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This isn’t teleportation in the sci-fi sense. It’s something deeper and more fundamental. What’s actually happening is quantum state transfer, where information is reconstructed at another location using entanglement. But here’s the interesting part In my τ-framework, this works because reality isn’t continuous in the way we think. It’s structured through a time-field, where information exists as stable patterns across a temporal lattice. When two systems are entangled, they’re not “connected through space”… they’re sharing the same underlying time-structure. So the information doesn’t travel across distance. It reappears where the time-field allows the same pattern to stabilize. That’s why it looks instant. Not because it breaks physics but because it bypasses distance entirely. If this is correct, then teleportation isn’t movement… it’s reconstruction through temporal symmetry. The real question is: Can we control the time-field enough to scale this beyond quantum systems? Follow me for more answers

TheNewPhysics

36,141 görüntüleme • 4 ay önce

The difference between SEALSQ silicon-based spin-qubit QPUs and quantum processors built on superconducting circuits or trapped ions comes down to physics, manufacturability, and long-term industrial scalability. SEALSQ’s approach uses electron spins confined in silicon semiconductor structures—essentially quantum dots fabricated with CMOS-compatible processes—where the qubit is the spin state of an electron rather than a macroscopic electrical current or a free ion. This makes spin qubits orders of magnitude smaller, potentially allowing millions of qubits on a single silicon wafer, and critically aligns the technology with existing semiconductor fabs, supply chains, and design tools. In contrast, superconducting qubits rely on exotic materials and microwave resonators that are physically large, wiring-heavy, and difficult to scale beyond a few thousand qubits without massive cryogenic and control overhead. Trapped-ion systems achieve excellent qubit coherence but depend on ultra-high vacuum chambers, precision lasers, and optical alignment, making them closer to scientific instruments than manufacturable chips. Silicon spin qubits also benefit from long intrinsic coherence times (especially in isotopically purified silicon), low power dissipation, and a natural path to tight integration with classical control, cryogenic electronics, and security primitives—an area where SEALSQ’s semiconductor and hardware-security DNA becomes a strategic advantage. The trade-off is that spin qubits are technically harder to control at the single-qubit level and are earlier in large-scale deployment than superconducting systems, but if solved, they offer the most credible route to industrial-scale, cost-effective, secure quantum processors, rather than lab-scale demonstrations.
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The difference between SEALSQ silicon-based spin-qubit QPUs and quantum processors built on superconducting circuits or trapped ions comes down to physics, manufacturability, and long-term industrial scalability. SEALSQ’s approach uses electron spins confined in silicon semiconductor structures—essentially quantum dots fabricated with CMOS-compatible processes—where the qubit is the spin state of an electron rather than a macroscopic electrical current or a free ion. This makes spin qubits orders of magnitude smaller, potentially allowing millions of qubits on a single silicon wafer, and critically aligns the technology with existing semiconductor fabs, supply chains, and design tools. In contrast, superconducting qubits rely on exotic materials and microwave resonators that are physically large, wiring-heavy, and difficult to scale beyond a few thousand qubits without massive cryogenic and control overhead. Trapped-ion systems achieve excellent qubit coherence but depend on ultra-high vacuum chambers, precision lasers, and optical alignment, making them closer to scientific instruments than manufacturable chips. Silicon spin qubits also benefit from long intrinsic coherence times (especially in isotopically purified silicon), low power dissipation, and a natural path to tight integration with classical control, cryogenic electronics, and security primitives—an area where SEALSQ’s semiconductor and hardware-security DNA becomes a strategic advantage. The trade-off is that spin qubits are technically harder to control at the single-qubit level and are earlier in large-scale deployment than superconducting systems, but if solved, they offer the most credible route to industrial-scale, cost-effective, secure quantum processors, rather than lab-scale demonstrations.

Carlos Creus Moreira

19,616 görüntüleme • 6 ay önce

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.
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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.

Jack 🤖

40,142 görüntüleme • 1 yıl önce

AI-Powered weed control! 🌱 The LaserWeeder machine from Carbon Robotics has captured the imagination of American farmers. This technology uses AI system to identify weeds in crops and zap them with precision thermal bursts from lasers. Bit of facts about the cool robot: → The machine can remove weeds from over 40 crops and can also be used for thinning crops. → It can operate in virtually all weather conditions, with millimeter accuracy at all times, and can work through the night thanks to its built-in lighting system. → High-resolution cameras and computer machine learning enable it to distinguish weeds from crops in milliseconds. → The LaserWeeder can replace about 70 workers on farms where manual weeding is used, and can weed up to four acres per hour. What other applications can we expect to see in the future in farming applications? Btw. I believe farming robots are A HUGE THING in robotics! 🔥 ~~ ♻ Join the weekly robotics newsletter, and never miss any news →
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AI-Powered weed control! 🌱 The LaserWeeder machine from Carbon Robotics has captured the imagination of American farmers. This technology uses AI system to identify weeds in crops and zap them with precision thermal bursts from lasers. Bit of facts about the cool robot: → The machine can remove weeds from over 40 crops and can also be used for thinning crops. → It can operate in virtually all weather conditions, with millimeter accuracy at all times, and can work through the night thanks to its built-in lighting system. → High-resolution cameras and computer machine learning enable it to distinguish weeds from crops in milliseconds. → The LaserWeeder can replace about 70 workers on farms where manual weeding is used, and can weed up to four acres per hour. What other applications can we expect to see in the future in farming applications? Btw. I believe farming robots are A HUGE THING in robotics! 🔥 ~~ ♻ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

54,776 görüntüleme • 8 ay önce

recreated this exact hook with AI in 3 minutes generated first frame with nano banana -> uploaded it along with reference video to Kling motion control, done when the quality is actually there, AI UGC beats real creators every time we built the best system for this right now: - realistic visuals - realistic voice - realistic movement - all optimized for virality and conversions way cheaper than a real creator and built for scale across thousands of posts and multiple accounts this isn't generic AI slop, these are high quality systems built with real effort and ready to scale your business it works across ecom,apps, saas, coaching, DTC... everything yet people are still paying $300-500 per UGC video from creators who ghost halfway through the project
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recreated this exact hook with AI in 3 minutes generated first frame with nano banana -> uploaded it along with reference video to Kling motion control, done when the quality is actually there, AI UGC beats real creators every time we built the best system for this right now: - realistic visuals - realistic voice - realistic movement - all optimized for virality and conversions way cheaper than a real creator and built for scale across thousands of posts and multiple accounts this isn't generic AI slop, these are high quality systems built with real effort and ready to scale your business it works across ecom,apps, saas, coaching, DTC... everything yet people are still paying $300-500 per UGC video from creators who ghost halfway through the project

MAX

171,662 görüntüleme • 5 ay önce

New robot hands just dropped! But it seems to be missing a couple fingers. Tacta Systems Tacta Systems is a Palo Alto robotics startup that just came out of stealth, and raised with $75M and a dexterity platform, TactaBot, aimed at high-value manufacturing. TactaBot has three parts: - the Tacta Hand -> a human-scale robotic hand with 15 independently actuated joints, proprietary "Fluidic Tendon" actuation, pitched as reliable for millions of factory cycles. - the Tacta Sensor -> a tiny tactile sensor reading force from 250 Pa to 700,000 Pa, sampling at 400 Hz, resolving temperature to 0.1 °C. - Skill Capture -> a data system built around the Tacta Glove. It contains the same sensor embedded in a glove that factory workers wear. Sounds similar to what mimic is doing! Except with 3 fingers instead of 5. Tacta's vision sees 3 fingers as more than enough to complete all tasks, and less complex to simulate than 5. My opinion: Tacta is very strong at semiconductor/MEMS, their moat lies in their ability to manufacture their touch sensor as large as a grain of sand, not the hand or the model. One caveat though: there is no detail nor explanation of how the 5 finger data acquisition glove maps to the 3 finger hand -> I would love to learn more about it! This is where the interesting part of the tech is imho. If this does not work, then nothing does. Still, I have to admit it looks very cool, slick, and minimal, I love it:
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New robot hands just dropped! But it seems to be missing a couple fingers. Tacta Systems Tacta Systems is a Palo Alto robotics startup that just came out of stealth, and raised with $75M and a dexterity platform, TactaBot, aimed at high-value manufacturing. TactaBot has three parts: - the Tacta Hand -> a human-scale robotic hand with 15 independently actuated joints, proprietary "Fluidic Tendon" actuation, pitched as reliable for millions of factory cycles. - the Tacta Sensor -> a tiny tactile sensor reading force from 250 Pa to 700,000 Pa, sampling at 400 Hz, resolving temperature to 0.1 °C. - Skill Capture -> a data system built around the Tacta Glove. It contains the same sensor embedded in a glove that factory workers wear. Sounds similar to what mimic is doing! Except with 3 fingers instead of 5. Tacta's vision sees 3 fingers as more than enough to complete all tasks, and less complex to simulate than 5. My opinion: Tacta is very strong at semiconductor/MEMS, their moat lies in their ability to manufacture their touch sensor as large as a grain of sand, not the hand or the model. One caveat though: there is no detail nor explanation of how the 5 finger data acquisition glove maps to the 3 finger hand -> I would love to learn more about it! This is where the interesting part of the tech is imho. If this does not work, then nothing does. Still, I have to admit it looks very cool, slick, and minimal, I love it:

Léo

15,088 görüntüleme • 4 gün önce

A New Era with V3🪄 V3's new engine introduces significant advancements in output generation. Unlike V2, where the multi-model system processed prompts to produce a single output, V3 is designed to generate multiple outputs and logically link them together. This enhancement effectively removes limitations on output size, enabling more complex and expansive results. Key Features Seamless Multi-Output Generation: V3 has been trained to generate separate outputs and connect them logically. This advancement ensures that there are no longer any limitations on output size. Intelligent Image Creation: V3 improves image generation with better tools, allowing the AI to create as many images as needed and place them within the project’s context. It supports various formats like PNG, JPEG, SVG, and GLB. Web-Integrated Intelligence: V3 can now search the web for documentation and data, providing real-time context and up-to-date references. For example, if you run a restaurant and want to update your website, simply ask Alchemist AI to “generate this website in a more modern style,” and it will update all content accordingly. Improved Creativity and Output Quality: V3's creative capacity has significantly increased. Simple prompts now generate more complete and refined results, with the system efficiently combining multiple elements into cohesive outputs.
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A New Era with V3🪄 V3's new engine introduces significant advancements in output generation. Unlike V2, where the multi-model system processed prompts to produce a single output, V3 is designed to generate multiple outputs and logically link them together. This enhancement effectively removes limitations on output size, enabling more complex and expansive results. Key Features Seamless Multi-Output Generation: V3 has been trained to generate separate outputs and connect them logically. This advancement ensures that there are no longer any limitations on output size. Intelligent Image Creation: V3 improves image generation with better tools, allowing the AI to create as many images as needed and place them within the project’s context. It supports various formats like PNG, JPEG, SVG, and GLB. Web-Integrated Intelligence: V3 can now search the web for documentation and data, providing real-time context and up-to-date references. For example, if you run a restaurant and want to update your website, simply ask Alchemist AI to “generate this website in a more modern style,” and it will update all content accordingly. Improved Creativity and Output Quality: V3's creative capacity has significantly increased. Simple prompts now generate more complete and refined results, with the system efficiently combining multiple elements into cohesive outputs.

ALCHEMIST AI 🔮

48,742 görüntüleme • 1 yıl önce

5-axis CNC machining – but different... Most 5-axis machines use serial kinematics: stack a rotary A-axis on top of a rotary B-axis, mount that on linear X/Y/Z stages. Each axis carries the weight of everything after it. Heavy and slow. 🤖 The Sprint Z3 uses parallel kinematics: three linear drives working together to create BOTH the Z-axis motion AND the A/B tilt simultaneously. No stacked rotary joints. No heavy tilting head carrying a motor on top of another motor. The entire barrel-shaped headstock moves as one unit vertically in the column, while the three internal drives handle the spindle positioning and orientation. ⚙️ How it works: Three linear actuators are arranged in a circle, all connected to the spindle platform through pivot arms. - Extend all three equally → spindle moves straight up/down (Z-axis) - Extend them different amounts → spindle tilts (A/B axes) It's using geometry instead of stacked rotary joints to create tilt 🤔 Why this is useful: Way less moving mass than serial kinematics. Less mass = faster accelerations, higher precision, better surface finish. For high-speed machining, dynamics matter more than workspace. Question: Is this a good design or overcomplicated❓
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5-axis CNC machining – but different... Most 5-axis machines use serial kinematics: stack a rotary A-axis on top of a rotary B-axis, mount that on linear X/Y/Z stages. Each axis carries the weight of everything after it. Heavy and slow. 🤖 The Sprint Z3 uses parallel kinematics: three linear drives working together to create BOTH the Z-axis motion AND the A/B tilt simultaneously. No stacked rotary joints. No heavy tilting head carrying a motor on top of another motor. The entire barrel-shaped headstock moves as one unit vertically in the column, while the three internal drives handle the spindle positioning and orientation. ⚙️ How it works: Three linear actuators are arranged in a circle, all connected to the spindle platform through pivot arms. - Extend all three equally → spindle moves straight up/down (Z-axis) - Extend them different amounts → spindle tilts (A/B axes) It's using geometry instead of stacked rotary joints to create tilt 🤔 Why this is useful: Way less moving mass than serial kinematics. Less mass = faster accelerations, higher precision, better surface finish. For high-speed machining, dynamics matter more than workspace. Question: Is this a good design or overcomplicated❓

Jack 🤖

118,947 görüntüleme • 9 ay önce

NEW: After swearing in new recruits at the Los Angeles Military Entrance Processing Station (MEPS), Secretary of War Pete Hegseth departed for Divergent as part of his Arsenal Freedom Tour. Divergent Technologies, Inc. (Divergent) is a Torrance, California-based advanced manufacturing company specializing in defense and aerospace production. Its Divergent Adaptive Production System (DAPS) integrates AI-driven generative design, metal 3D printing, and automated robotic assembly to produce lightweight, high-performance structures rapidly and cost-effectively, reducing weight, part counts, and environmental impact compared to traditional methods. Since pivoting heavily into defense in 2022, Divergent has secured major contracts with prime contractors including General Atomics, Lockheed Martin, Raytheon, and Triumph Group. These cover everything from sustainment parts to full airframe systems and hypersonic components. One thing that makes Divergent unique is they only hire US persons, and they are 100% independent from Chinese supply chains. The company raised $290 million in Series E funding in September 2025, achieving a $2.3 billion valuation to scale production for U.S. military needs. Hegseth’s Pete Hegseth Arsenal Freedom Tour highlights innovative defense manufacturing, AI integration, and technologies to strengthen the U.S. Defense Industrial Base under President Trump's peace-through-strength agenda. Hegseth is traveling with press, myself included, to showcase companies like Divergent that enable faster, more agile production for warfighters. This visit aligns with the Trump administration's push to revitalize American defense manufacturing and rapidly field emerging technologies.
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NEW: After swearing in new recruits at the Los Angeles Military Entrance Processing Station (MEPS), Secretary of War Pete Hegseth departed for Divergent as part of his Arsenal Freedom Tour. Divergent Technologies, Inc. (Divergent) is a Torrance, California-based advanced manufacturing company specializing in defense and aerospace production. Its Divergent Adaptive Production System (DAPS) integrates AI-driven generative design, metal 3D printing, and automated robotic assembly to produce lightweight, high-performance structures rapidly and cost-effectively, reducing weight, part counts, and environmental impact compared to traditional methods. Since pivoting heavily into defense in 2022, Divergent has secured major contracts with prime contractors including General Atomics, Lockheed Martin, Raytheon, and Triumph Group. These cover everything from sustainment parts to full airframe systems and hypersonic components. One thing that makes Divergent unique is they only hire US persons, and they are 100% independent from Chinese supply chains. The company raised $290 million in Series E funding in September 2025, achieving a $2.3 billion valuation to scale production for U.S. military needs. Hegseth’s Pete Hegseth Arsenal Freedom Tour highlights innovative defense manufacturing, AI integration, and technologies to strengthen the U.S. Defense Industrial Base under President Trump's peace-through-strength agenda. Hegseth is traveling with press, myself included, to showcase companies like Divergent that enable faster, more agile production for warfighters. This visit aligns with the Trump administration's push to revitalize American defense manufacturing and rapidly field emerging technologies.

Laura Loomer

109,862 görüntüleme • 6 ay önce

🚨 AMERICA JUST BUILT THE WORLD’S MOST POWERFUL METAL 3D PRINTER AND IT’S ABOUT TO MASS-PRODUCE ROCKETS AND MISSILES. Divergent Technologies has unveiled the Monolith One, a giant industrial metal printer standing over 8 meters tall and armed with 12 high-powered lasers delivering a combined 24 kilowatts of energy. Unlike typical 3D printers used for prototypes, this machine is built for serious, high-volume production. It can print large, complex aerospace and defense parts in aluminum, titanium, steel, and nickel alloys and it roughly doubles the output of current systems. Why this matters: • Divergent plans to install 64 more of these machines in a massive new 430,000 sq ft factory in Long Beach, California • Once running, the facility aims to produce tens of thousands of munition airframes per year plus hundreds of thousands of critical metal components • It slashes manufacturing time from months down to weeks or even days • The company already supplies major players like Lockheed Martin and RTX The deeper implication: This isn’t just another 3D printer. It represents a shift toward software-defined, on-demand manufacturing at industrial scale for mission-critical hardware. As defense and aerospace demand skyrockets, traditional supply chains are too slow. Systems like Monolith One could become a cornerstone of faster, more resilient domestic production especially for complex structures that are difficult or impossible to make conventionally. We’re watching the industrialization of additive manufacturing in real time. How do you think large-scale 3D printing will change aerospace and defense manufacturing over the next decade? Follow for more frontier manufacturing and defense technology.
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🚨 AMERICA JUST BUILT THE WORLD’S MOST POWERFUL METAL 3D PRINTER AND IT’S ABOUT TO MASS-PRODUCE ROCKETS AND MISSILES. Divergent Technologies has unveiled the Monolith One, a giant industrial metal printer standing over 8 meters tall and armed with 12 high-powered lasers delivering a combined 24 kilowatts of energy. Unlike typical 3D printers used for prototypes, this machine is built for serious, high-volume production. It can print large, complex aerospace and defense parts in aluminum, titanium, steel, and nickel alloys and it roughly doubles the output of current systems. Why this matters: • Divergent plans to install 64 more of these machines in a massive new 430,000 sq ft factory in Long Beach, California • Once running, the facility aims to produce tens of thousands of munition airframes per year plus hundreds of thousands of critical metal components • It slashes manufacturing time from months down to weeks or even days • The company already supplies major players like Lockheed Martin and RTX The deeper implication: This isn’t just another 3D printer. It represents a shift toward software-defined, on-demand manufacturing at industrial scale for mission-critical hardware. As defense and aerospace demand skyrockets, traditional supply chains are too slow. Systems like Monolith One could become a cornerstone of faster, more resilient domestic production especially for complex structures that are difficult or impossible to make conventionally. We’re watching the industrialization of additive manufacturing in real time. How do you think large-scale 3D printing will change aerospace and defense manufacturing over the next decade? Follow for more frontier manufacturing and defense technology.

TheNewPhysics

80,575 görüntüleme • 1 ay önce

🚨 THE RACE TO 6G JUST ACCELERATED. Northrop Grumman has developed a W-band GaN chip operating at up to 110 GHz and took it from concept to market-ready hardware in less than six months. The new gallium nitride chip operates in the W-band (75–110 GHz), a frequency range that delivers massive bandwidth, extremely high data rates, and much lower latency than current systems. What makes this impressive is the speed: the chip went from concept to market-ready hardware in less than six months through a U.S. government-backed microelectronics program. That’s unusually fast for advanced defense-grade semiconductors. The chip acts as a high-power signal amplifier that can strengthen wireless links while shrinking the size and power consumption of the hardware. It’s designed for military radar, secure satellite communications, and the coming wave of 6G networks. Why this matters: • W-band offers far more spectrum than current 5G bands, enabling much faster data transmission and higher-resolution sensing • Gallium nitride can handle significantly higher power and frequencies than silicon, making it ideal for these demanding applications • The rapid development cycle shows how public-private collaboration can accelerate critical semiconductor technologies • The same tech that strengthens military radar and satellite links will directly feed into future commercial 6G infrastructure The deeper implication: We’re watching the foundation of next-generation wireless and sensing systems being laid in real time. High-frequency GaN chips like this won’t just improve existing radar and satellite systems they’re likely to become core building blocks for 6G, autonomous systems, and advanced defense platforms. The fact that this moved from lab to market in under six months suggests the pace of high-frequency electronics is accelerating dramatically. The future of wireless isn’t just faster. It’s operating at frequencies most people have never heard of and it’s being built right now. How soon do you think W-band and GaN technology will start appearing in everyday 6G devices? Follow for more frontier semiconductors, defense tech, and next-generation wireless systems.
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🚨 THE RACE TO 6G JUST ACCELERATED. Northrop Grumman has developed a W-band GaN chip operating at up to 110 GHz and took it from concept to market-ready hardware in less than six months. The new gallium nitride chip operates in the W-band (75–110 GHz), a frequency range that delivers massive bandwidth, extremely high data rates, and much lower latency than current systems. What makes this impressive is the speed: the chip went from concept to market-ready hardware in less than six months through a U.S. government-backed microelectronics program. That’s unusually fast for advanced defense-grade semiconductors. The chip acts as a high-power signal amplifier that can strengthen wireless links while shrinking the size and power consumption of the hardware. It’s designed for military radar, secure satellite communications, and the coming wave of 6G networks. Why this matters: • W-band offers far more spectrum than current 5G bands, enabling much faster data transmission and higher-resolution sensing • Gallium nitride can handle significantly higher power and frequencies than silicon, making it ideal for these demanding applications • The rapid development cycle shows how public-private collaboration can accelerate critical semiconductor technologies • The same tech that strengthens military radar and satellite links will directly feed into future commercial 6G infrastructure The deeper implication: We’re watching the foundation of next-generation wireless and sensing systems being laid in real time. High-frequency GaN chips like this won’t just improve existing radar and satellite systems they’re likely to become core building blocks for 6G, autonomous systems, and advanced defense platforms. The fact that this moved from lab to market in under six months suggests the pace of high-frequency electronics is accelerating dramatically. The future of wireless isn’t just faster. It’s operating at frequencies most people have never heard of and it’s being built right now. How soon do you think W-band and GaN technology will start appearing in everyday 6G devices? Follow for more frontier semiconductors, defense tech, and next-generation wireless systems.

TheNewPhysics

22,647 görüntüleme • 1 ay önce

What is the RAT? The RAT is a small wind turbine stowed within the aircraft fuselage and deployed automatically when certain failure conditions are met. Once extended into the airstream, it uses the forward motion of the aircraft to spin and generate power—mechanical, hydraulic, or electrical. Primary Functions of the RAT on the 787-8 1. Hydraulic Backup Power On deployment, the RAT drives a variable displacement inline hydraulic pump. It pressurizes the center hydraulic system, enabling continued operation of critical flight control surfaces such as the ailerons, elevators, and rudder. This is vital in maintaining aircraft controllability if normal hydraulic sources are lost. 2. Supplementary Electrical Power While the RAT is primarily a hydraulic power source on the 787-8, it can also, in some configurations, drive an emergency generator. This generator provides sufficient AC and DC power to support essential avionics, flight displays, and communications systems. Deployment Scenarios: When Does the RAT Automatically Deploy? The RAT on the Boeing 787-8 deploys automatically—without crew input—under the following emergency conditions: 1. Dual Engine Failure If both engines fail, resulting in the loss of engine-driven electrical and hydraulic generation, the RAT deploys to maintain critical flight control power. 2. Complete Electrical Loss to Flight Instruments If there’s a total loss of electrical power to both the captain’s and first officer’s primary flight instruments, the RAT ensures these systems remain powered. 3. Low Pressure in All Three Hydraulic Systems If all three systems—Left, Center, and Right—lose hydraulic pressure, the RAT provides emergency hydraulic power through the center system. 4. EMP Failure + Engine Loss During Takeoff or Landing If all four Electric Motor Pumps (EMPs) fail and an engine fails during takeoff or landing, the RAT deploys to sustain flight control power during these critical phases. Automatic and Autonomous Operation One of the RAT’s key advantages is its fully autonomous activation. Pilots do not need to manually deploy it; the system is designed to react immediately to predefined failure logic, reducing workload and ensuring flight-critical systems remain powered. In Summary The Ram Air Turbine (RAT) on the Boeing 787-8 is not just a backup—it's a lifesaving last resort. It deploys automatically to supply hydraulic and limited electrical power when all other power sources fail. Designed with layered redundancy in mind, it is one of the unsung heroes of modern aircraft systems, ensuring that even in worst-case scenarios, pilots retain control to guide the aircraft—and its passengers—safely to the ground.
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What is the RAT? The RAT is a small wind turbine stowed within the aircraft fuselage and deployed automatically when certain failure conditions are met. Once extended into the airstream, it uses the forward motion of the aircraft to spin and generate power—mechanical, hydraulic, or electrical. Primary Functions of the RAT on the 787-8 1. Hydraulic Backup Power On deployment, the RAT drives a variable displacement inline hydraulic pump. It pressurizes the center hydraulic system, enabling continued operation of critical flight control surfaces such as the ailerons, elevators, and rudder. This is vital in maintaining aircraft controllability if normal hydraulic sources are lost. 2. Supplementary Electrical Power While the RAT is primarily a hydraulic power source on the 787-8, it can also, in some configurations, drive an emergency generator. This generator provides sufficient AC and DC power to support essential avionics, flight displays, and communications systems. Deployment Scenarios: When Does the RAT Automatically Deploy? The RAT on the Boeing 787-8 deploys automatically—without crew input—under the following emergency conditions: 1. Dual Engine Failure If both engines fail, resulting in the loss of engine-driven electrical and hydraulic generation, the RAT deploys to maintain critical flight control power. 2. Complete Electrical Loss to Flight Instruments If there’s a total loss of electrical power to both the captain’s and first officer’s primary flight instruments, the RAT ensures these systems remain powered. 3. Low Pressure in All Three Hydraulic Systems If all three systems—Left, Center, and Right—lose hydraulic pressure, the RAT provides emergency hydraulic power through the center system. 4. EMP Failure + Engine Loss During Takeoff or Landing If all four Electric Motor Pumps (EMPs) fail and an engine fails during takeoff or landing, the RAT deploys to sustain flight control power during these critical phases. Automatic and Autonomous Operation One of the RAT’s key advantages is its fully autonomous activation. Pilots do not need to manually deploy it; the system is designed to react immediately to predefined failure logic, reducing workload and ensuring flight-critical systems remain powered. In Summary The Ram Air Turbine (RAT) on the Boeing 787-8 is not just a backup—it's a lifesaving last resort. It deploys automatically to supply hydraulic and limited electrical power when all other power sources fail. Designed with layered redundancy in mind, it is one of the unsung heroes of modern aircraft systems, ensuring that even in worst-case scenarios, pilots retain control to guide the aircraft—and its passengers—safely to the ground.

Turbine Traveller

293,307 görüntüleme • 1 yıl önce