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ROBOT ARM GOES FULL OCTOPUS MODE This squishy robot arm bends, flexes, and grabs stuff with suction cups like it's born underwater. It can pick up anything from a rock to a potato chip without breaking a sweat.0 Basically, it's the robot version of that one kid in gym... show more

Mario Nawfal

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32,073 просмотров • 1 год назад •via X (Twitter)

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Peeling a potato is trivial -- until you try to make a robot do it with a knife. This is actually one of the hardest problems in manipulation: contact-rich, force-sensitive, and success is subjective. We taught a robot arm to peel with >90% success :D

Peeling a potato is trivial -- until you try to make a robot do it with a knife. This is actually one of the hardest problems in manipulation: contact-rich, force-sensitive, and success is subjective. We taught a robot arm to peel with >90% success :D

Toru

33,109 просмотров • 5 месяцев назад

RUNNING ROBOT STUNS CROWD WITH SPEED AND FLUID MOTION A crowd cheered as a robot sprinted on a running track like Usain Bolt's record could go at any moment. Then it accidentally body-checked a man to the ground, making everyone nervous about what this part of the movie might be foreshadowing. Either way, it's one show that's certainly here to stay. Source: Cheddar on TikTok

RUNNING ROBOT STUNS CROWD WITH SPEED AND FLUID MOTION A crowd cheered as a robot sprinted on a running track like Usain Bolt's record could go at any moment. Then it accidentally body-checked a man to the ground, making everyone nervous about what this part of the movie might be foreshadowing. Either way, it's one show that's certainly here to stay. Source: Cheddar on TikTok

Mario Nawfal

48,839 просмотров • 1 год назад

Imagine you go to a store and you want to buy candy. The shopkeeper knows you're a real kid because they can see you standing right there. Now imagine you send a robot to buy candy for you. The shopkeeper looks at the robot and thinks: wait, who sent this? Is this robot allowed to buy candy? What if someone else's robot pretends to be yours and steals your candy money? That's basically what's happening with AI right now. Companies like Visa let people buy things all over the world. But now, smart computer robots (AI agents) want to buy things too. Shop around, compare prices, even pay for stuff. Visa looked at this and said: nope, not yet. Because they have no way to check if the robot is real, who it belongs to, or if it's allowed to spend that money. The problem is that all the rules we have for checking identity - showing your ID, scanning your face, typing your password - only work for humans. Robots can't do any of that. Worse, bad robots can actually copy and fake human identities really well. So Evin McMullen evin, Billions Network co-founder and CEO, says we need a new kind of ID system. One where you can prove something is true without showing all your private stuff. Like proving you're tall enough for a ride without telling anyone your exact height. That's called zero-knowledge proof. And for the robots specifically, we need something called KYA - Know Your Agent. It's like giving every robot its own ID card that says: this is who I am, this is what I'm allowed to do, and this is the human responsible for me. Until we build that, the robot economy can't really get going. Here is Evin’s Thought Leader article at Silicon Valleys Journal

Imagine you go to a store and you want to buy candy. The shopkeeper knows you're a real kid because they can see you standing right there. Now imagine you send a robot to buy candy for you. The shopkeeper looks at the robot and thinks: wait, who sent this? Is this robot allowed to buy candy? What if someone else's robot pretends to be yours and steals your candy money? That's basically what's happening with AI right now. Companies like Visa let people buy things all over the world. But now, smart computer robots (AI agents) want to buy things too. Shop around, compare prices, even pay for stuff. Visa looked at this and said: nope, not yet. Because they have no way to check if the robot is real, who it belongs to, or if it's allowed to spend that money. The problem is that all the rules we have for checking identity - showing your ID, scanning your face, typing your password - only work for humans. Robots can't do any of that. Worse, bad robots can actually copy and fake human identities really well. So Evin McMullen evin, Billions Network co-founder and CEO, says we need a new kind of ID system. One where you can prove something is true without showing all your private stuff. Like proving you're tall enough for a ride without telling anyone your exact height. That's called zero-knowledge proof. And for the robots specifically, we need something called KYA - Know Your Agent. It's like giving every robot its own ID card that says: this is who I am, this is what I'm allowed to do, and this is the human responsible for me. Until we build that, the robot economy can't really get going. Here is Evin’s Thought Leader article at Silicon Valleys Journal

Billions Network

21,775 просмотров • 6 месяцев назад

Well, a humanoid robot can move on two legs or wheels, depending on the environment it faces. AGIBOT (Zhiyuan) from Shanghai revealed that their new generation of humanoid robot "Nezha" can autonomously switch to two wheels for fast movement when walking on two legs. Imagine that in the airport hall, when he walks down the stairs and sees a fallen object not far away, it can transform into a wheeled robot and move quickly to pick it up. Or in elderly care, when it see an elderly person fall, it can quickly move and help the elderly person up, and quickly provide medical supplies to the caregiver.

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CyberRobo

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Anime Posts

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ROBOTS RUN MARATHONS… AND MEMES At the World Humanoid Robot Games, most bots were out there sprinting like Olympians. But then one “chilling meme robot” showed up just to vibe. Instead of chasing medals, it waddled along with pure chill energy. No stress, no pressure, just vibes. Honestly, maybe humans should take notes. Not everything has to be a race. Source: reborn_agi

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Mario Nawfal

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🇸🇬 THIS DRONE FITS THROUGH WINDOWS LIKE A SNEAKY ROBOT BUG The FROW rotary wing drone from Singapore is just 17.7 inches wide and built to slip through tight spaces. It flies like a mini UFO and can squeeze into windows like it's on a secret mission. Spies wish they had this in high school. Source: unstoppablegadgets_en

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Mario Nawfal

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A student just sent a humanoid robot to collect his diploma — and I can’t stop thinking about it. In China, a teen built a robot that walked the stage, shook hands, and graduated for him. At first, it seemed funny. Then it felt like a wake-up call. We’re still teaching students to memorize — while they’re out there building the future. If a student can graduate through a robot, maybe it’s time schools start catching up. Innovation or rebellion — what do you think? #AI #Education #Innovation #Robotics #FutureOfWork #Technology

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High school students built an autonomous ball-collecting robot! 🎾 A group of high school students built a robot that picks up balls and shoots them into a bin while moving without stopping, with impressive speed and accuracy. It combines mechanical design, sensors, and software making constant adjustments in real time while the robot is driving. When teenagers can build systems this sophisticated, the talent pipeline for the robotics industry is accelerating! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

High school students built an autonomous ball-collecting robot! 🎾 A group of high school students built a robot that picks up balls and shoots them into a bin while moving without stopping, with impressive speed and accuracy. It combines mechanical design, sensors, and software making constant adjustments in real time while the robot is driving. When teenagers can build systems this sophisticated, the talent pipeline for the robotics industry is accelerating! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

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GOT A FRIEND WHO’S ONE BAD DAY FROM SNAPPING? Here’s your lifeline: a fully automated massage machine with two robotic arms, each flexing a wild 8 axes of motion. That's deep tech for deep tissue. No Enya. No awkward “how’s the pressure?” Just 2 robot arms kneading your spine like it owes them money. Built like a factory robot. Feels like a monk with a mechanical engineering degree. Send this to someone before their spine files for divorce. Source: letsaescape

Mario Nawfal

512,922 просмотров • 1 год назад

The next manipulation tool may not live on your screen. It may stand in front of you look into your eyes and convince you that it understands. Would you rather face a humanoid robot strong enough to hurt you or one designed well enough to make you trust it? This robot copies blinking, eye contact, head movement and facial expressions to create the illusion of human presence. That may look impressive but it also opens a darker question. When a machine can look concerned appear friendly and imitate emotion people may start trusting signals that contain no real feeling no empathy and no moral responsibility. So which is more dangerous a robot with physical power or a robot that can manufacture trust? #HumanoidRobot #Robotics #AI

The next manipulation tool may not live on your screen. It may stand in front of you look into your eyes and convince you that it understands. Would you rather face a humanoid robot strong enough to hurt you or one designed well enough to make you trust it? This robot copies blinking, eye contact, head movement and facial expressions to create the illusion of human presence. That may look impressive but it also opens a darker question. When a machine can look concerned appear friendly and imitate emotion people may start trusting signals that contain no real feeling no empathy and no moral responsibility. So which is more dangerous a robot with physical power or a robot that can manufacture trust? #HumanoidRobot #Robotics #AI

Techniahqrobot | humanoid robots

11,650 просмотров • 20 дней назад

GROK REMIX – THE LAZIEST WAY TO LOOK CREATIVE Why write a new prompt when Grok can recycle a good one faster than you can blink? Remix Mode: •⁠ ⁠Grab any Grok video and remix the prompt with one tap •⁠ ⁠Swap in a new image and watch it animate like it was born that way •⁠ ⁠Keep the style, motion, and audio without breaking a sweat •⁠ ⁠Free tier gets you started, SuperGrok turns you into a content factory Your next viral clip might be two taps away! Source: Grok

GROK REMIX – THE LAZIEST WAY TO LOOK CREATIVE Why write a new prompt when Grok can recycle a good one faster than you can blink? Remix Mode: •⁠ ⁠Grab any Grok video and remix the prompt with one tap •⁠ ⁠Swap in a new image and watch it animate like it was born that way •⁠ ⁠Keep the style, motion, and audio without breaking a sweat •⁠ ⁠Free tier gets you started, SuperGrok turns you into a content factory Your next viral clip might be two taps away! Source: Grok

Mario Nawfal

90,639 просмотров • 8 месяцев назад

OCEAN-GLIDING ROBOT SWIMS WITH WHALES LIKE IT’S ONE OF THEM Evologic’s Quadroin isn’t just mapping the seafloor; it’s basically the James Bond of the deep, gliding silently beside marine animals without them even noticing. With a propulsion system inspired by nature, this AUV moves like a stealth submarine crossed with a dolphin, built to gather secrets from Antarctica to the abyss. Scientists are calling it a “spyfish,” a robotic shadow that could rewrite what we know about the most fragile corners of the ocean. Source: Unmanned Systems Technology

OCEAN-GLIDING ROBOT SWIMS WITH WHALES LIKE IT’S ONE OF THEM Evologic’s Quadroin isn’t just mapping the seafloor; it’s basically the James Bond of the deep, gliding silently beside marine animals without them even noticing. With a propulsion system inspired by nature, this AUV moves like a stealth submarine crossed with a dolphin, built to gather secrets from Antarctica to the abyss. Scientists are calling it a “spyfish,” a robotic shadow that could rewrite what we know about the most fragile corners of the ocean. Source: Unmanned Systems Technology

Mario Nawfal

47,907 просмотров • 1 год назад

This work makes a humanoid robot do simple parkour moves by looking with a depth camera and choosing the right move on the fly. The big deal is that it turns lots of small human moves into long, real-time robot behavior, without hand-coding every transition or retraining for each new course. A humanoid robot is usually good at steady walking, but it often fails when it has to do fast moves like jumping up, vaulting, or rolling, and then keep going to the next obstacle. The hard part is that you cannot easily collect training data for every possible obstacle shape, distance, and mistake, so robots end up learning a few moves that only work in a narrow setup. This work starts from short clips of real human parkour moves, like stepping over, vaulting, climbing, and rolling. It uses motion matching, which is basically a smart “pick the next clip that fits best right now” search, to stitch those short clips into a long, smooth plan that looks like a human doing a whole course. Then it trains a controller with reinforcement learning (RL), which means the robot learns by trial and error to copy that plan while staying balanced and not falling. After training separate expert controllers for different moves, it compresses them into 1 controller that uses only onboard depth sensing and a simple “go this fast in this direction” command. In real tests on a Unitree G1 humanoid, it can clear multiple obstacles in a row, adapt when obstacles get moved, and climb a wall up to 1.25m.

This work makes a humanoid robot do simple parkour moves by looking with a depth camera and choosing the right move on the fly. The big deal is that it turns lots of small human moves into long, real-time robot behavior, without hand-coding every transition or retraining for each new course. A humanoid robot is usually good at steady walking, but it often fails when it has to do fast moves like jumping up, vaulting, or rolling, and then keep going to the next obstacle. The hard part is that you cannot easily collect training data for every possible obstacle shape, distance, and mistake, so robots end up learning a few moves that only work in a narrow setup. This work starts from short clips of real human parkour moves, like stepping over, vaulting, climbing, and rolling. It uses motion matching, which is basically a smart “pick the next clip that fits best right now” search, to stitch those short clips into a long, smooth plan that looks like a human doing a whole course. Then it trains a controller with reinforcement learning (RL), which means the robot learns by trial and error to copy that plan while staying balanced and not falling. After training separate expert controllers for different moves, it compresses them into 1 controller that uses only onboard depth sensing and a simple “go this fast in this direction” command. In real tests on a Unitree G1 humanoid, it can clear multiple obstacles in a row, adapt when obstacles get moved, and climb a wall up to 1.25m.

Rohan Paul

37,121 просмотров • 5 месяцев назад

LEONARDO, also called LEO, was built by researchers at Caltech’s Center for Autonomous Systems and Technologies. Its full name means LEgs ONboARD drOne. The idea is simple but unusual: • Build a small biped robot • Give it drone-style thrust • Use the legs for ground contact • Use the propellers for balance and lift • Combine walking, hopping and flying in one system LEO is basically a hybrid between a walking robot and a flying drone. How it was built: • Two lightweight legs • Three actuated joints in each leg • Four propeller thrusters near the shoulders • A lightweight body • Leg motors for ground movement • Propellers for balance, lift and aerial control • Real-time control software that synchronizes the legs and propellers How it walks: • The legs move the robot forward • The feet touch the ground like a normal biped • The propellers constantly correct balance from above • The robot can stay upright even in unstable situations • The thrust reduces the risk of falling during difficult motions How it flies: • The legs stop being the main locomotion system • The four propellers generate lift • The robot behaves more like a drone • It can take off, fly over obstacles and land back on its legs What makes it different: • It does not walk like a normal humanoid • It does not fly like a normal drone • It blends both systems • The legs handle contact with the ground • The propellers act like fast stabilizers • The control system decides how much help comes from the legs and how much comes from thrust That is why LEO can: • Walk • Hop • Fly over obstacles • Ride a skateboard • Balance on a slackline The key idea is walking with aerial stabilization.

LEONARDO, also called LEO, was built by researchers at Caltech’s Center for Autonomous Systems and Technologies. Its full name means LEgs ONboARD drOne. The idea is simple but unusual: • Build a small biped robot • Give it drone-style thrust • Use the legs for ground contact • Use the propellers for balance and lift • Combine walking, hopping and flying in one system LEO is basically a hybrid between a walking robot and a flying drone. How it was built: • Two lightweight legs • Three actuated joints in each leg • Four propeller thrusters near the shoulders • A lightweight body • Leg motors for ground movement • Propellers for balance, lift and aerial control • Real-time control software that synchronizes the legs and propellers How it walks: • The legs move the robot forward • The feet touch the ground like a normal biped • The propellers constantly correct balance from above • The robot can stay upright even in unstable situations • The thrust reduces the risk of falling during difficult motions How it flies: • The legs stop being the main locomotion system • The four propellers generate lift • The robot behaves more like a drone • It can take off, fly over obstacles and land back on its legs What makes it different: • It does not walk like a normal humanoid • It does not fly like a normal drone • It blends both systems • The legs handle contact with the ground • The propellers act like fast stabilizers • The control system decides how much help comes from the legs and how much comes from thrust That is why LEO can: • Walk • Hop • Fly over obstacles • Ride a skateboard • Balance on a slackline The key idea is walking with aerial stabilization.

Techniahqrobot | humanoid robots

135,515 просмотров • 1 месяц назад