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Humanoid robots just did real warehouse work in Germany. Accenture, SAP & Vodafone ran a pilot where a robot( Unitree G1)spots damage, hazards & waste,then reports into SAP live. Less injury, less temp labor.Humanoid workforce as a service.

CyberRobo

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18,432 次观看 • 2 个月前 •via X (Twitter)

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Push a human off balance and they react instantly. Now try building that into a robot… During a recent visit to Hangzhou, hosted by the Zhejiang Provincial Government, we saw a live balance test from Unitree robotics G1 robot. This is where control, perception, and hardware have to move as one in real time.

Push a human off balance and they react instantly. Now try building that into a robot… During a recent visit to Hangzhou, hosted by the Zhejiang Provincial Government, we saw a live balance test from Unitree robotics G1 robot. This is where control, perception, and hardware have to move as one in real time.

Megatron

43,247 次观看 • 2 个月前

Another humanoid robot monk:First Japan, now South Korea. South Korea just unveiled its first robot monk Gabi at Seoul’s Jogye Temple. The 130 cm Unitree G1 humanoid, dressed in full robes, joined real monks in prayer, completed the Buddhist ordination ceremony, and received its dharma name:Gabi. It even got a robot-friendly "burning arm"ritual (lotus sticker, no flames), 108 prayer beads, and custom Five Precepts: protect life, don’t damage robots/property, respect humans, avoid deception, and save energy. A first in Korean Buddhist history, timed for Buddha’s Birthday on May 24. By 2050, temples might be filled with humanoid robot monks.

Another humanoid robot monk:First Japan, now South Korea. South Korea just unveiled its first robot monk Gabi at Seoul’s Jogye Temple. The 130 cm Unitree G1 humanoid, dressed in full robes, joined real monks in prayer, completed the Buddhist ordination ceremony, and received its dharma name:Gabi. It even got a robot-friendly "burning arm"ritual (lotus sticker, no flames), 108 prayer beads, and custom Five Precepts: protect life, don’t damage robots/property, respect humans, avoid deception, and save energy. A first in Korean Buddhist history, timed for Buddha’s Birthday on May 24. By 2050, temples might be filled with humanoid robot monks.

CyberRobo

21,911 次观看 • 2 个月前

JUST IN: Unitree Robotics just unveiled the GD01, a manned "mecha" robot that transforms between two legs and four legs in real time. This is not a concept. This is a product. Starting price: $574,000. This robot weighs 500kg, is built from high-strength alloy, and has a torso-mounted cockpit. The demo video shows it walking upright, knocking down a brick wall with its hand, then reconfiguring into a four-legged crawl. Unitree calls it the world's first mass-produced transformable mecha. But the real story here is the bigger picture. Chinese companies accounted for nearly 90% of global humanoid robot sales in 2025. Unitree alone shipped 5,500+ humanoid robots last year. In the same period, Tesla, Figure AI and Agility Robotics each shipped around 150. And Unitree is now filing for an IPO on Shanghai's Star Market, targeting 4.2 billion yuan, 85% of which goes straight into R&D. The West is building incredible humanoid robots. China is building them faster, cheaper and at a scale nobody else is close to matching. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

JUST IN: Unitree Robotics just unveiled the GD01, a manned "mecha" robot that transforms between two legs and four legs in real time. This is not a concept. This is a product. Starting price: $574,000. This robot weighs 500kg, is built from high-strength alloy, and has a torso-mounted cockpit. The demo video shows it walking upright, knocking down a brick wall with its hand, then reconfiguring into a four-legged crawl. Unitree calls it the world's first mass-produced transformable mecha. But the real story here is the bigger picture. Chinese companies accounted for nearly 90% of global humanoid robot sales in 2025. Unitree alone shipped 5,500+ humanoid robots last year. In the same period, Tesla, Figure AI and Agility Robotics each shipped around 150. And Unitree is now filing for an IPO on Shanghai's Star Market, targeting 4.2 billion yuan, 85% of which goes straight into R&D. The West is building incredible humanoid robots. China is building them faster, cheaper and at a scale nobody else is close to matching. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

11,580 次观看 • 2 个月前

Robots from Humanoid passed real factory test at Siemens! 😮‍💨 Humanoid from the UK just completed a successful proof of concept with Siemens, deploying their HMND 01 wheeled humanoid robot in a real working factory. The task was simple but important: pick totes from a storage stack, transport them to a conveyor, and place them at the pickup point for human operators. Repeat until the stack is empty. The robot achieved 60 tote moves per hour, handled two different tote sizes, ran autonomously for more than 30 minutes at a time, stayed operational for over eight hours, and maintained over 90% success rate on pick and place tasks. This matters because it's not a demo video. It's a real deployment in Siemens' Electronics Factory in Erlangen, handling actual production work, measured against real operational metrics. The test ran in two phases. First, Humanoid built a physical twin in-house to test and optimize the system. Then they deployed on-site at Siemens for two weeks, where the robot operated in the real production environment. We can see a wheeled humanoid robot in action! So, now the ultimate question: wheels or legs? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Robots from Humanoid passed real factory test at Siemens! 😮‍💨 Humanoid from the UK just completed a successful proof of concept with Siemens, deploying their HMND 01 wheeled humanoid robot in a real working factory. The task was simple but important: pick totes from a storage stack, transport them to a conveyor, and place them at the pickup point for human operators. Repeat until the stack is empty. The robot achieved 60 tote moves per hour, handled two different tote sizes, ran autonomously for more than 30 minutes at a time, stayed operational for over eight hours, and maintained over 90% success rate on pick and place tasks. This matters because it's not a demo video. It's a real deployment in Siemens' Electronics Factory in Erlangen, handling actual production work, measured against real operational metrics. The test ran in two phases. First, Humanoid built a physical twin in-house to test and optimize the system. Then they deployed on-site at Siemens for two weeks, where the robot operated in the real production environment. We can see a wheeled humanoid robot in action! So, now the ultimate question: wheels or legs? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

21,993 次观看 • 5 个月前

Another headless wheeled humanoid Shenzhen VLAI Robotics just released a pretty pragmatic humanoid robot called L1. I checked the price, starting at RMB 28,800($4,188). wheeled base + height-adjustable dual arms.Anyone can be built into a household assistant:fetching water, tidying up the kitchen and living room, doing laundry, and more. >Dual arms with 16 DOF, bionic-style structure, capable of relatively fine tasks like grasping and plug-in operations >Adjustable arm height (~70–160 cm), covering both tabletop and standing work >Differential-drive wheeled base, 100 kg payload, simple but well-suited for indoor use, supports working while moving >Open interfaces + teleoperation/data collection. L1 feels more like a development platform than a finished product Beyond household humanoids, developers can build specialized humanoid robots tailored to a wide range of scenarios,from scientific research and manufacturing to warehousing, retail, and caregiving... We’re already seeing quite a few robots in this form factor. While some are pushing toward full humanoids, this “less-human” approach might actually reach real-world deployment sooner. --- (Shenzhen truly is a home for humanoid robots,it seems as though a new humanoid robot company could spring into existence at any moment.）

Another headless wheeled humanoid Shenzhen VLAI Robotics just released a pretty pragmatic humanoid robot called L1. I checked the price, starting at RMB 28,800($4,188). wheeled base + height-adjustable dual arms.Anyone can be built into a household assistant:fetching water, tidying up the kitchen and living room, doing laundry, and more. >Dual arms with 16 DOF, bionic-style structure, capable of relatively fine tasks like grasping and plug-in operations >Adjustable arm height (~70–160 cm), covering both tabletop and standing work >Differential-drive wheeled base, 100 kg payload, simple but well-suited for indoor use, supports working while moving >Open interfaces + teleoperation/data collection. L1 feels more like a development platform than a finished product Beyond household humanoids, developers can build specialized humanoid robots tailored to a wide range of scenarios,from scientific research and manufacturing to warehousing, retail, and caregiving... We’re already seeing quite a few robots in this form factor. While some are pushing toward full humanoids, this “less-human” approach might actually reach real-world deployment sooner. --- (Shenzhen truly is a home for humanoid robots,it seems as though a new humanoid robot company could spring into existence at any moment.）

CyberRobo

38,538 次观看 • 3 个月前

Shenzhen hosted the world’s first URKL humanoid robot combat tournament. 🤖🥊 Powered by EngineAI (众擎机器人), a Shenzhen-based robotics company, T800 humanoid robots took center stage as teams from around the world brought their algorithms into the ring, where robots punched, blocked, recovered and competed in front of a live audience. More than a competition, the event serves as a real-world proving ground for embodied AI, motion control and humanoid robotics. 📅 July 16, 2026 📍 Nanshan Culture and Sports Center, Shenzhen INFO Guangdong Hi,GBA Massimo S.L. Kanthan Li Zexin 李泽欣 EngineAI tphuang Brian Roemmele

Shenzhen hosted the world’s first URKL humanoid robot combat tournament. 🤖🥊 Powered by EngineAI (众擎机器人), a Shenzhen-based robotics company, T800 humanoid robots took center stage as teams from around the world brought their algorithms into the ring, where robots punched, blocked, recovered and competed in front of a live audience. More than a competition, the event serves as a real-world proving ground for embodied AI, motion control and humanoid robotics. 📅 July 16, 2026 📍 Nanshan Culture and Sports Center, Shenzhen INFO Guangdong Hi,GBA Massimo S.L. Kanthan Li Zexin 李泽欣 EngineAI tphuang Brian Roemmele

Shenzhen Channel

27,344 次观看 • 9 天前

The Ganga is clean until it leaves Haridwar, & then came a program "Namami Gange". As per reports, ₹42,000 crore has been allocated till date. A girl in Rishikesh, finds sewage water flowing direct into the river. So Where did the money go?

The Ganga is clean until it leaves Haridwar, & then came a program "Namami Gange". As per reports, ₹42,000 crore has been allocated till date. A girl in Rishikesh, finds sewage water flowing direct into the river. So Where did the money go?

Manu🇮🇳🇮🇳

218,246 次观看 • 2 个月前

🇺🇸 TRUMP & LUTNICK EYE HUMANOID ROBOTICS REVOLUTION IN 2026: “AI THAT WALKS AND WORKS” Trump and Secretary of Commerce Howard Lutnick are now turning their attention to the next seismic shift in tech: humanoid robotics, with a targeted push beginning in 2026. The move is part of a broader strategy to supercharge American AI leadership, but not just in software. The focus is shifting to physical, labor-replacing machines: humanoid robots that can think, move, and work in real-world environments. Think less ChatGPT, more “steel spine and servers flipping burgers, or building cars.” Why does it matter though? The U.S. is now staring down a future where whoever builds the best humanoid labor force wins the next economy, and we know China’s not waiting. Trump and Lutnick’s entrance into this space signals something serious: this isn’t just a Silicon Valley playground anymore. This is becoming a national priority. For a country dealing with a shrinking workforce, soaring labor costs, and foreign competitors pumping billions into robotics. It’s time to start taking humanoid robots more seriously and build them already. 2026 could be the year the Made in America label gets printed by robots. Source: Disclose.tv / Politico / AOL News

🇺🇸 TRUMP & LUTNICK EYE HUMANOID ROBOTICS REVOLUTION IN 2026: “AI THAT WALKS AND WORKS” Trump and Secretary of Commerce Howard Lutnick are now turning their attention to the next seismic shift in tech: humanoid robotics, with a targeted push beginning in 2026. The move is part of a broader strategy to supercharge American AI leadership, but not just in software. The focus is shifting to physical, labor-replacing machines: humanoid robots that can think, move, and work in real-world environments. Think less ChatGPT, more “steel spine and servers flipping burgers, or building cars.” Why does it matter though? The U.S. is now staring down a future where whoever builds the best humanoid labor force wins the next economy, and we know China’s not waiting. Trump and Lutnick’s entrance into this space signals something serious: this isn’t just a Silicon Valley playground anymore. This is becoming a national priority. For a country dealing with a shrinking workforce, soaring labor costs, and foreign competitors pumping billions into robotics. It’s time to start taking humanoid robots more seriously and build them already. 2026 could be the year the Made in America label gets printed by robots. Source: Disclose.tv / Politico / AOL News

Mario Nawfal

64,898 次观看 • 7 个月前

Humans are cooked. 😳 China just hosted the world's first robot-led gala show, 60 minutes of humanoid robots performing live on stage. Not a tech demo. Not a 30-second clip from a lab. A full entertainment show during the Chinese Spring Festival with 12 performances including dance, magic, comedy, martial arts, and a fashion runway. The robots did backflips. Let me say that again. The robots. Did. Backflips. AGIBOT G2 humanoid robots and D1 quadruped robots performed in perfectly synchronized formations…. rapid turns, group choreography, runway walks.. transitioning seamlessly between segments for a full hour. But here's what actually blew my mind: In one segment, human dancers performed alongside the robots in coordinated routines. Real-time alignment between human movement and robotic motion. You couldn't tell who was leading. In another, quadruped robots dressed as pandas danced with children on stage. And in the corner? A sign-language translation robot was providing barrier-free access for hearing-impaired viewers. This wasn't entertainment. This was a statement. Some context most people are missing: AGIBOT shipped over 5,000 humanoid robots in 2025. They're ranked #1 globally in humanoid robot shipments. The company was founded by a former Huawei "Genius Youth" engineer just 3 years ago. Three. Years. Meanwhile, Boston Dynamics has been at it for 32 years and still doesn't have a consumer product on the market. China isn't just catching up in robotics. They're lapping us while doing backflips. And the craziest part? You can now rent these same robots for events through their platform, starting at 999 yuan. That's about $140. The future isn't coming. It's performing on stage, doing backflips, and it costs less than your Costco run. AGIBOT #AGIBOT NIGHT #RobotsHumanoides #ArtesMarcialesChinas

Humans are cooked. 😳 China just hosted the world's first robot-led gala show, 60 minutes of humanoid robots performing live on stage. Not a tech demo. Not a 30-second clip from a lab. A full entertainment show during the Chinese Spring Festival with 12 performances including dance, magic, comedy, martial arts, and a fashion runway. The robots did backflips. Let me say that again. The robots. Did. Backflips. AGIBOT G2 humanoid robots and D1 quadruped robots performed in perfectly synchronized formations…. rapid turns, group choreography, runway walks.. transitioning seamlessly between segments for a full hour. But here's what actually blew my mind: In one segment, human dancers performed alongside the robots in coordinated routines. Real-time alignment between human movement and robotic motion. You couldn't tell who was leading. In another, quadruped robots dressed as pandas danced with children on stage. And in the corner? A sign-language translation robot was providing barrier-free access for hearing-impaired viewers. This wasn't entertainment. This was a statement. Some context most people are missing: AGIBOT shipped over 5,000 humanoid robots in 2025. They're ranked #1 globally in humanoid robot shipments. The company was founded by a former Huawei "Genius Youth" engineer just 3 years ago. Three. Years. Meanwhile, Boston Dynamics has been at it for 32 years and still doesn't have a consumer product on the market. China isn't just catching up in robotics. They're lapping us while doing backflips. And the craziest part? You can now rent these same robots for events through their platform, starting at 999 yuan. That's about $140. The future isn't coming. It's performing on stage, doing backflips, and it costs less than your Costco run. AGIBOT #AGIBOT NIGHT #RobotsHumanoides #ArtesMarcialesChinas

Shruti

104,721 次观看 • 5 个月前

Humanoid robots are cool. But most of them aren’t ready for real-world work. X-Humanoid just launched Embodied Tien Kung 3.0 - a full-size humanoid robot built to actually operate in industrial and commercial environments. What makes it different? • Strong, high-torque joints for heavy tasks • Can move dynamically and stay stable • Handles complex motions (even over obstacles) • Millimeter-level precision for detailed work It runs on the Wise KaiWu AI platform, which allows the robot to see, think, and act in a continuous loop with less human control and support for multi-robot collaboration. It also supports ROS2, MQTT, and TCP/IP, and offers more open hardware + software interfaces to make development easier for teams. The goal is simple: make humanoid robots practical, easier to build on, and ready for real-world use. Visit: Check out the official launch video below to see what it can do! 👇 #Robotics #HumanoidRobot #AI

Humanoid robots are cool. But most of them aren’t ready for real-world work. X-Humanoid just launched Embodied Tien Kung 3.0 - a full-size humanoid robot built to actually operate in industrial and commercial environments. What makes it different? • Strong, high-torque joints for heavy tasks • Can move dynamically and stay stable • Handles complex motions (even over obstacles) • Millimeter-level precision for detailed work It runs on the Wise KaiWu AI platform, which allows the robot to see, think, and act in a continuous loop with less human control and support for multi-robot collaboration. It also supports ROS2, MQTT, and TCP/IP, and offers more open hardware + software interfaces to make development easier for teams. The goal is simple: make humanoid robots practical, easier to build on, and ready for real-world use. Visit: Check out the official launch video below to see what it can do! 👇 #Robotics #HumanoidRobot #AI

Chidanand Tripathi

69,604 次观看 • 5 个月前

No one could turn down a humanoid robot with human-like tactile sensitivity. JQ Industries equipped the Unitree G1 humanoid robot with a fabric-based electronic skin (piezoresistive flexible tactile sensors). A light touch can convert pressure, deformation, and slip into electrical signals, which are then processed by AI for real-time closed-loop control.(Integrates NVIDIA Isaac Sim) With this skin,humanoid robots start to behave more naturally: Touch sensing is no longer limited to dexterous hands,the entire body can feel, allowing the robot to stop or adjust posture instantly during collisions. It can also detect hugs, taps on the shoulder, or gentle touches, and respond in a softer, more human-like way. This matters especially in elder care and medical rehabilitation. A humanoid robot could gently help someone stand up, or control force precisely during assisted massage without harming the skin. Rigid mechanical systems deliver superhuman physical strength, while flexible sensing systems enable nuanced emotions. Electronic skin bridges high intelligence and high emotional intelligence.

No one could turn down a humanoid robot with human-like tactile sensitivity. JQ Industries equipped the Unitree G1 humanoid robot with a fabric-based electronic skin (piezoresistive flexible tactile sensors). A light touch can convert pressure, deformation, and slip into electrical signals, which are then processed by AI for real-time closed-loop control.(Integrates NVIDIA Isaac Sim) With this skin,humanoid robots start to behave more naturally: Touch sensing is no longer limited to dexterous hands,the entire body can feel, allowing the robot to stop or adjust posture instantly during collisions. It can also detect hugs, taps on the shoulder, or gentle touches, and respond in a softer, more human-like way. This matters especially in elder care and medical rehabilitation. A humanoid robot could gently help someone stand up, or control force precisely during assisted massage without harming the skin. Rigid mechanical systems deliver superhuman physical strength, while flexible sensing systems enable nuanced emotions. Electronic skin bridges high intelligence and high emotional intelligence.

CyberRobo

22,118 次观看 • 3 个月前

John: "Over in China, they’re doing robot Olympics. They’re doing marathons and all sorts of stuff." Figure founder Brett Adcock: “We look at the distribution of what humans do that is useful, and we [designed our humanoid] to do as much of that as possible.” “These things where we run marathons, or we do backflips, or we do karate moves—they’re not in the main part of the distribution. They don’t matter. And if you really want to size for those, you’re going to build a really expensive and unsafe robot that’s hard to manufacture.” “People want the $10,000 humanoid that can do general-purpose work. We want it to do laundry and dishes and be a companion. I want to ship robots at scale into the workforce to do logistics and healthcare, and build buildings and data centers.” "I don't need [our humanoid] to do backflips to do any of that work. I want robots building other robots."

John: "Over in China, they’re doing robot Olympics. They’re doing marathons and all sorts of stuff." Figure founder Brett Adcock: “We look at the distribution of what humans do that is useful, and we [designed our humanoid] to do as much of that as possible.” “These things where we run marathons, or we do backflips, or we do karate moves—they’re not in the main part of the distribution. They don’t matter. And if you really want to size for those, you’re going to build a really expensive and unsafe robot that’s hard to manufacture.” “People want the $10,000 humanoid that can do general-purpose work. We want it to do laundry and dishes and be a companion. I want to ship robots at scale into the workforce to do logistics and healthcare, and build buildings and data centers.” "I don't need [our humanoid] to do backflips to do any of that work. I want robots building other robots."

TBPN

15,419 次观看 • 5 个月前

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 次观看 • 5 个月前

Who can say no to a humanoid robot that can actually feel a hug? 🤖 JQ Industries just built a fabric-based electronic skin for Unitree G1 — covering the torso, hands, and feet. This is not about appearance. It’s about giving robots real tactile sensing and pressure feedback. According to the company, the system includes tactile gloves, upper-body skin, and foot sensors. That means the robot can feel contact through its hands, detect pressure across its body, and use foot feedback to adjust balance. This is the missing layer in most humanoids. Vision alone can’t handle physical interaction. Robots need touch to grip safely, react to humans, and stay stable in real-world environments. JQ says its fiber sensors can detect forces as low as 0.01N, handle up to 3500kPa, and bend below 0.1mm radius. The system can also integrate with Isaac Sim, making tactile data usable for training and deployment. Unitree G1 is already built for manipulation and control — this adds the sensing layer it lacked. JQ says it’s now working with multiple humanoid companies, with some systems already shipping at scale. This is what happens when robots stop just seeing the world — and start physically feeling it.

Who can say no to a humanoid robot that can actually feel a hug? 🤖 JQ Industries just built a fabric-based electronic skin for Unitree G1 — covering the torso, hands, and feet. This is not about appearance. It’s about giving robots real tactile sensing and pressure feedback. According to the company, the system includes tactile gloves, upper-body skin, and foot sensors. That means the robot can feel contact through its hands, detect pressure across its body, and use foot feedback to adjust balance. This is the missing layer in most humanoids. Vision alone can’t handle physical interaction. Robots need touch to grip safely, react to humans, and stay stable in real-world environments. JQ says its fiber sensors can detect forces as low as 0.01N, handle up to 3500kPa, and bend below 0.1mm radius. The system can also integrate with Isaac Sim, making tactile data usable for training and deployment. Unitree G1 is already built for manipulation and control — this adds the sensing layer it lacked. JQ says it’s now working with multiple humanoid companies, with some systems already shipping at scale. This is what happens when robots stop just seeing the world — and start physically feeling it.

RoboHub🤖

10,952 次观看 • 3 个月前

A first look at the Forma RaaS Control Interface in action. Live robot state visualization, joint-level control, and task orchestration for 6-DoF arms - all running through a single, web-native dashboard. This control layer is fundamental to Robotics-as-a-Service. It’s what turns robots into remotely accessible, observable, and controllable resources rather than isolated machines. Teach tasks visually, monitor execution in real time, fall back to teleop when needed, and iterate live - without being on-site. This is how decentralized RaaS starts to work in practice.

A first look at the Forma RaaS Control Interface in action. Live robot state visualization, joint-level control, and task orchestration for 6-DoF arms - all running through a single, web-native dashboard. This control layer is fundamental to Robotics-as-a-Service. It’s what turns robots into remotely accessible, observable, and controllable resources rather than isolated machines. Teach tasks visually, monitor execution in real time, fall back to teleop when needed, and iterate live - without being on-site. This is how decentralized RaaS starts to work in practice.

Forma Robotics

40,233 次观看 • 7 个月前

In just one week, Binh Pham and I trained a full-body Unitree G1. Here's a recap: 1. Secured a Unitree G1 humanoid through a LinkedIn post 2. Deployed TWIST2 full-body teleoperation pipelines 3. Adapted TWIST2 for Zed stereo camera & collected full-body teleoperation samples (carried by Binh Pham ) 4. Adapted & fine-tuned NVIDIA Gr00T N1.5 VLA on the TWIST2 public datasets, which I fine-tuned on an 8xNVIDIA H100 Cluster. We picked Gr00T N1.5 as it was trained with Unitree G1 embodiment data. 5. Adapted the TWIST2 codebase to stream in the actions from Gr00T via ZMQ using a co-located NVIDIA H100 for ~200ms inference latency 6. Tested the model in sim, then deployed to the real-world Unitree G1. We streamed a training sample observation to the VLA (as we didn't want to break robot in case real observations were OOD) We were the first team in the world to deploy the full TWIST2 data collection pipeline to the unitree g1 :) Much more work ahead though, which I'll work on as a side-project over the next months: 1. Exploring the various types of 'world models': video backbones, dynamics models, v-jepa-2 models. I believe these will generalize better & train much more data-efficiently than VLM backbones 2. Speeding up inference - I believe low-latency robotics inference will be a big challenge. There are many works in video diffusion which I'd like to test (e.g. SageAttention, SparseAttention, Drifting Models). Perhaps also writing custom CUDA kernels. 3. Economics of inference scaling :) What will be the compute demands as we scale inference up to millions of humanoids? Will it run on edge or on distributed 'co-located' inference clusters? These are questions I'd like to answer. Adapted TWIST2 codebase: Adapted Gr00T-N1.5 codebase: The ETH Robotics Club are doing a cool GTC Golden ticket competition with NVIDIA , so this is my submission :) The DGX Spark compute will get me a long way with initial prototyping & especially working on inference optimization for next-gen Blackwell GPUs #NVIDIAGTC #GOLDENTICKET #ETHRC

In just one week, Binh Pham and I trained a full-body Unitree G1. Here's a recap: 1. Secured a Unitree G1 humanoid through a LinkedIn post 2. Deployed TWIST2 full-body teleoperation pipelines 3. Adapted TWIST2 for Zed stereo camera & collected full-body teleoperation samples (carried by Binh Pham ) 4. Adapted & fine-tuned NVIDIA Gr00T N1.5 VLA on the TWIST2 public datasets, which I fine-tuned on an 8xNVIDIA H100 Cluster. We picked Gr00T N1.5 as it was trained with Unitree G1 embodiment data. 5. Adapted the TWIST2 codebase to stream in the actions from Gr00T via ZMQ using a co-located NVIDIA H100 for ~200ms inference latency 6. Tested the model in sim, then deployed to the real-world Unitree G1. We streamed a training sample observation to the VLA (as we didn't want to break robot in case real observations were OOD) We were the first team in the world to deploy the full TWIST2 data collection pipeline to the unitree g1 :) Much more work ahead though, which I'll work on as a side-project over the next months: 1. Exploring the various types of 'world models': video backbones, dynamics models, v-jepa-2 models. I believe these will generalize better & train much more data-efficiently than VLM backbones 2. Speeding up inference - I believe low-latency robotics inference will be a big challenge. There are many works in video diffusion which I'd like to test (e.g. SageAttention, SparseAttention, Drifting Models). Perhaps also writing custom CUDA kernels. 3. Economics of inference scaling :) What will be the compute demands as we scale inference up to millions of humanoids? Will it run on edge or on distributed 'co-located' inference clusters? These are questions I'd like to answer. Adapted TWIST2 codebase: Adapted Gr00T-N1.5 codebase: The ETH Robotics Club are doing a cool GTC Golden ticket competition with NVIDIA , so this is my submission :) The DGX Spark compute will get me a long way with initial prototyping & especially working on inference optimization for next-gen Blackwell GPUs #NVIDIAGTC #GOLDENTICKET #ETHRC

Arnie Ramesh

14,815 次观看 • 5 个月前

2026.5.29 Vučić brags that Serbia will soon produce humanoid robots with investment from the CCP. But the robot is the distraction. The real story is the CCP’s military deployment into Europe. Miles Guo warned that the CCP did not enter Serbia as a partner. It entered as an occupier in slow motion—building the communications, railways, logistics routes, and military shield for war. Then came the Hongqi missiles during the Ukraine war. Publicly, an arms sale. Guo revealed Beijing gave them away. Serbia becomes the node. NATO air power becomes the target.

2026.5.29 Vučić brags that Serbia will soon produce humanoid robots with investment from the CCP. But the robot is the distraction. The real story is the CCP’s military deployment into Europe. Miles Guo warned that the CCP did not enter Serbia as a partner. It entered as an occupier in slow motion—building the communications, railways, logistics routes, and military shield for war. Then came the Hongqi missiles during the Ukraine war. Publicly, an arms sale. Guo revealed Beijing gave them away. Serbia becomes the node. NATO air power becomes the target.

NFSC Speaks

66,857 次观看 • 1 个月前

🚨WATCH: CBC's Janyce McGregor Janyce McGregor) reports on Mr. Ma's crossing: "Poilievre was not in Ottawa when this news broke. He was in Toronto in a fairly wealthy neighbourhood in Toronto, actually. A private home that was hosting a private fundraiser for the Conservative Party, the sort where you pay up to $1700 a head and then get some access to the leader. This latest floor crossing happening as it did just, sort of as that would be getting underway probably made the mood in that room somewhat less festive." Oh, to be a fly on the wall at that fundraiser! #cdnpoli #QP

🚨WATCH: CBC's Janyce McGregor Janyce McGregor) reports on Mr. Ma's crossing: "Poilievre was not in Ottawa when this news broke. He was in Toronto in a fairly wealthy neighbourhood in Toronto, actually. A private home that was hosting a private fundraiser for the Conservative Party, the sort where you pay up to $1700 a head and then get some access to the leader. This latest floor crossing happening as it did just, sort of as that would be getting underway probably made the mood in that room somewhat less festive." Oh, to be a fly on the wall at that fundraiser! #cdnpoli #QP

Jason Pugh 🇨🇦 🏳️‍🌈

40,080 次观看 • 7 个月前

$Most robotics teams can make a robot move… very few can make it work every day in the real world! @roboforce_inc was just featured in Jensen Huang’s GTC keynote, not for a demo but for a robot they claim is already working in the field. Their system, TITAN, is built for industrial environments: ✅ 40 kg dual-arm payload ✅ millimeter-level precision ✅ 8 hours runtime ✅ early pilots in energy, logistics, and manufacturing They call it Physical AI: The focus is on getting robots to do the kind of labor that still depends on people: repetitive, risky, and physical. IMO, what stands out isn’t the specs. It’s the claim of 11,000 robot orders❗️ If even a fraction of that turns into real deployments, it would make RoboForce one of the most widely scaled robot platforms in the world!!?? The open question is whether this shift from prototype to production is real or just the next phase of robotics storytelling. It looks very promising to me. It’s also interesting how their founder openly pushes back against the humanoid trend, arguing for wheels over legs in real industrial settings. It’s an unusual perspective in a time when humanoids get most of the attention. If they are right, the next humanoid robotics wave might look less like a human and more like an industrial version. Seen at —- Weekly robotics and AI insights. Subscribe free:$

Most robotics teams can make a robot move… very few can make it work every day in the real world! @roboforce_inc was just featured in Jensen Huang’s GTC keynote, not for a demo but for a robot they claim is already working in the field. Their system, TITAN, is built for industrial environments: ✅ 40 kg dual-arm payload ✅ millimeter-level precision ✅ 8 hours runtime ✅ early pilots in energy, logistics, and manufacturing They call it Physical AI: The focus is on getting robots to do the kind of labor that still depends on people: repetitive, risky, and physical. IMO, what stands out isn’t the specs. It’s the claim of 11,000 robot orders❗️ If even a fraction of that turns into real deployments, it would make RoboForce one of the most widely scaled robot platforms in the world!!?? The open question is whether this shift from prototype to production is real or just the next phase of robotics storytelling. It looks very promising to me. It’s also interesting how their founder openly pushes back against the humanoid trend, arguing for wheels over legs in real industrial settings. It’s an unusual perspective in a time when humanoids get most of the attention. If they are right, the next humanoid robotics wave might look less like a human and more like an industrial version. Seen at —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

27,741 次观看 • 8 个月前

You can now operate robots by just thinking about it. With your brain signals. WOW. This robot system from Stanford has so much sci-fi vibe and wild implications that I don't even know where to start. NOIR decodes the EEG signal from your head into a library of robot skills. It is demonstrated on 20 household activities, such as cooking Sukiyaki, ironing clothes, grating cheese, playing Tic-Tac-Toe, and even petting a robot dog! NOIR learns to predict your intended goals in advance, so that your thinking efforts (literally) can be reduced to a minimum. It works with both adults and children as young as five years old. Imagine scaling up this system to Neuralink + Humanoid robots like Tesla Optimus in the future! There's now a decent probability that we can see the movie Avatar become a reality in our lifetime. Website: Paper: This work is from Stanford Vision Lab, my PhD home. The project is led by Ruohan Zhang and advised by Fei-Fei Li Jiajun Wu. Congrats on the phenomenal idea!

Jim Fan

378,309 次观看 • 2 年前