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Agibot A3 just unlocked Webster flips, Thomas flares, and mid-air running flips 🤸‍♂️🤖 At 173 cm and 55 kg, this full-size humanoid turns a 0.218 kW/kg power-to-weight ratio into continuous, fluid, gymnastic-grade motion control.

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RoboHub🤖

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71,118 просмотров • 4 месяцев назад •via X (Twitter)

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AGIBOT Expedition A3 is a next-generation full-size humanoid robot developed by Shanghai-based AGIBOT (智元机器人). Unveiled in February 2026, the A3 stands 173 cm tall and weighs just 55 kg, making it remarkably lightweight and agile.
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AGIBOT Expedition A3 is a next-generation full-size humanoid robot developed by Shanghai-based AGIBOT (智元机器人). Unveiled in February 2026, the A3 stands 173 cm tall and weighs just 55 kg, making it remarkably lightweight and agile.

Tsla Chan

33,650 просмотров • 4 месяцев назад

The mask is off. Meet AGIBOT A3 — AGIBOT’s new-generation full-size humanoid robot. 🤖 Powerful moves. Lightning-fast reactions. Uncompromising precision. And behind the challenger? A master who knows exactly how to push him further. 🥋 This is more than a challenge. It’s A3 in motion. #AGIBOT #AGIBOTA3 #PeerlessMaster #KungFu #HumanoidRobot #EmbodiedAI
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The mask is off. Meet AGIBOT A3 — AGIBOT’s new-generation full-size humanoid robot. 🤖 Powerful moves. Lightning-fast reactions. Uncompromising precision. And behind the challenger? A master who knows exactly how to push him further. 🥋 This is more than a challenge. It’s A3 in motion. #AGIBOT #AGIBOTA3 #PeerlessMaster #KungFu #HumanoidRobot #EmbodiedAI

AGIBOT

12,129 просмотров • 1 месяц назад

NEW OPEN SOURCE ROBOT: A cheap, lightweight, and agile platform for locomotion! Called BRIDGE, it is an open-source humanoid robot platform, hardware plus control system. It is an 88 cm, 12.5 kg humanoid with 21 active degrees of freedom that costs roughly $1,500. Its distinguishing idea is that the body and the controller are designed together through a three-stage data-driven pipeline: - anatomical constraints - kinematic criteria - closed-loop dynamic criteria Hence the morphology itself is optimized to preserve human motion quality when the robot executes. It demonstrates teleoperated locomotion, balance-oriented motion (bending, lunging, extreme balance) and highly dynamic motion including back-flips and expressive sequences. I like that the thesis is designing the body and the controller together, not a controller for a fixed body, which inverts how nearly everyone else works; the robot is usually given, usually a Unitree G1, then train a policy on it. At the end of the day, it is a sub-$2K open-source humanoid that does back-flips, the humanoid analogue of the cheap-arm democratization.
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NEW OPEN SOURCE ROBOT: A cheap, lightweight, and agile platform for locomotion! Called BRIDGE, it is an open-source humanoid robot platform, hardware plus control system. It is an 88 cm, 12.5 kg humanoid with 21 active degrees of freedom that costs roughly $1,500. Its distinguishing idea is that the body and the controller are designed together through a three-stage data-driven pipeline: - anatomical constraints - kinematic criteria - closed-loop dynamic criteria Hence the morphology itself is optimized to preserve human motion quality when the robot executes. It demonstrates teleoperated locomotion, balance-oriented motion (bending, lunging, extreme balance) and highly dynamic motion including back-flips and expressive sequences. I like that the thesis is designing the body and the controller together, not a controller for a fixed body, which inverts how nearly everyone else works; the robot is usually given, usually a Unitree G1, then train a policy on it. At the end of the day, it is a sub-$2K open-source humanoid that does back-flips, the humanoid analogue of the cheap-arm democratization.

Léo

23,248 просмотров • 15 дней назад

X-Humanoid just officially dropped Embodied Tien Kung 3.0, A universal platform designed to be way more open and developer-friendly. 🤖 Built on their Wise Kaiwu AI platform, this next-gen humanoid is all about slashing development costs. It’s a fully interoperable ecosystem that supports everything from tactile interaction to high-dynamic motion control at a full humanoid scale. ➤ Radical Openness: X-Humanoid is open-sourcing the full stack—robot body, motion control, VLM/VLA models, and the RoboMIND dataset. It fully supports ROS2, MQTT, and TCP/IP, so developers can customize use cases without re-engineering the basics. ➤ High-Performance Hardware: With high-torque integrated joints, Tien Kung 3.0 can clear 1-meter (3.3ft) obstacles and handle dexterous moves like kneeling and bending. It hits millimeter-level precision, making it a solid fit for industrial-grade tasks. ➤ True Autonomy: The bot runs a continuous perception-decision-execution loop. It uses world models to break down complex language commands and VLA models for real-time obstacle avoidance and navigation. ➤ Scalable Collaboration: The platform moves beyond single-unit tasks to support multi-robot collaboration with autonomous scheduling. It’s built to move embodied AI from the lab straight into real-world commercial and industrial environments. Source: X-Humanoid #Humanoid #OpenSource #Robotics #EmbodiedAI #PhysicalAI #Automation #XHumanoid #TienKung #WiseKaiwu
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X-Humanoid just officially dropped Embodied Tien Kung 3.0, A universal platform designed to be way more open and developer-friendly. 🤖 Built on their Wise Kaiwu AI platform, this next-gen humanoid is all about slashing development costs. It’s a fully interoperable ecosystem that supports everything from tactile interaction to high-dynamic motion control at a full humanoid scale. ➤ Radical Openness: X-Humanoid is open-sourcing the full stack—robot body, motion control, VLM/VLA models, and the RoboMIND dataset. It fully supports ROS2, MQTT, and TCP/IP, so developers can customize use cases without re-engineering the basics. ➤ High-Performance Hardware: With high-torque integrated joints, Tien Kung 3.0 can clear 1-meter (3.3ft) obstacles and handle dexterous moves like kneeling and bending. It hits millimeter-level precision, making it a solid fit for industrial-grade tasks. ➤ True Autonomy: The bot runs a continuous perception-decision-execution loop. It uses world models to break down complex language commands and VLA models for real-time obstacle avoidance and navigation. ➤ Scalable Collaboration: The platform moves beyond single-unit tasks to support multi-robot collaboration with autonomous scheduling. It’s built to move embodied AI from the lab straight into real-world commercial and industrial environments. Source: X-Humanoid #Humanoid #OpenSource #Robotics #EmbodiedAI #PhysicalAI #Automation #XHumanoid #TienKung #WiseKaiwu

RoboHub🤖

49,440 просмотров • 7 месяцев назад

In Second Fiddle (1939), Sonja Henie—three-time Olympic gold medalist—turns figure skating into pure cinematic art. What makes this scene special isn’t just the romance with Tyrone Power, but the way the ice performance is filmed: real Olympic-level skating, no doubles, no tricks of modern CGI—just precision, speed, and control captured in long, elegant camera movements. The rink becomes a stage, and every spin and glide is choreographed like ballet for the lens. 1930s Hollywood transforms sport into visual poetry—where skating isn’t shown as competition, but as fluid motion, music, and emotion merged into one continuous flow. ❄️🎬
1:15

In Second Fiddle (1939), Sonja Henie—three-time Olympic gold medalist—turns figure skating into pure cinematic art. What makes this scene special isn’t just the romance with Tyrone Power, but the way the ice performance is filmed: real Olympic-level skating, no doubles, no tricks of modern CGI—just precision, speed, and control captured in long, elegant camera movements. The rink becomes a stage, and every spin and glide is choreographed like ballet for the lens. 1930s Hollywood transforms sport into visual poetry—where skating isn’t shown as competition, but as fluid motion, music, and emotion merged into one continuous flow. ❄️🎬

𝗖𝗹𝗮𝘀𝘀𝗶𝗰𝗮𝗹 𝗠𝗲𝗹𝗼𝗱𝗶𝗲𝘀

37,315 просмотров • 5 месяцев назад

NVIDIA MotionBricks brings humanoid robots closer to natural, fluid movement The system combines a modular latent generative model with Smart Primitives, packing more than 350,000 motion skills into a single backbone. It runs in real time at up to 15,000 FPS with just 2ms latency. Navigation, object interaction, sitting, jumping, obstacle crossing, and even different movement styles can be composed zero-shot, like reusable motion modules. It is already being used for whole-body control on the Unitree G1 and serves as the motion layer for NVIDIA GR00T Whole-Body Control. What makes this interesting is the move from training individual behaviors toward building a shared library of motion capabilities. If that approach scales, robot movement could become more modular, transferable, and easier to deploy across different tasks and environments.
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NVIDIA MotionBricks brings humanoid robots closer to natural, fluid movement The system combines a modular latent generative model with Smart Primitives, packing more than 350,000 motion skills into a single backbone. It runs in real time at up to 15,000 FPS with just 2ms latency. Navigation, object interaction, sitting, jumping, obstacle crossing, and even different movement styles can be composed zero-shot, like reusable motion modules. It is already being used for whole-body control on the Unitree G1 and serves as the motion layer for NVIDIA GR00T Whole-Body Control. What makes this interesting is the move from training individual behaviors toward building a shared library of motion capabilities. If that approach scales, robot movement could become more modular, transferable, and easier to deploy across different tasks and environments.

CyberRobo

11,089 просмотров • 3 месяцев назад

X-Humanoid just dropped TG-VLA — the first full-size, whole-body VLA framework for humanoids. 🤖 Most VLA demos today still look arm-centric: see, plan, reach, grasp. The legs are mostly there to carry the arms. TG-VLA pushes action into the whole body: → HEX: task context & cross-embodiment learning → HAF-VLA: high-DoF motion → structured action flows → DSRL-DCT: online RL through a compressed latent space The real shift isn't a smarter hand — it's locomotion, torso control, balance, and manipulation inside one control loop. That's the move: from mobile dual-arm machines to full-body agents.
2:41

X-Humanoid just dropped TG-VLA — the first full-size, whole-body VLA framework for humanoids. 🤖 Most VLA demos today still look arm-centric: see, plan, reach, grasp. The legs are mostly there to carry the arms. TG-VLA pushes action into the whole body: → HEX: task context & cross-embodiment learning → HAF-VLA: high-DoF motion → structured action flows → DSRL-DCT: online RL through a compressed latent space The real shift isn't a smarter hand — it's locomotion, torso control, balance, and manipulation inside one control loop. That's the move: from mobile dual-arm machines to full-body agents.

RoboHub🤖

42,167 просмотров • 3 месяцев назад

This is just a test!! Not final 😅. Been working on the mechanic system for the neck and head, my goal is to figure out if I should do high quality led eyes or actual 3d printed eyes connected to servos. The mouth will move up and down when it talks. Right now there are motion sensors but will replace with a camera for AI object detection in the final version 🤖👌 The goal is to get at least a 1:4 scale full size robot to the community. One day, full humanoid, which will require alot more power and custom actuators (looking into how to engineer this). Also, figuring out how to connect it to Eliza OS! Wanna help with this project? Hit me up!!!
0:39

This is just a test!! Not final 😅. Been working on the mechanic system for the neck and head, my goal is to figure out if I should do high quality led eyes or actual 3d printed eyes connected to servos. The mouth will move up and down when it talks. Right now there are motion sensors but will replace with a camera for AI object detection in the final version 🤖👌 The goal is to get at least a 1:4 scale full size robot to the community. One day, full humanoid, which will require alot more power and custom actuators (looking into how to engineer this). Also, figuring out how to connect it to Eliza OS! Wanna help with this project? Hit me up!!!

ClegFX

17,747 просмотров • 1 год назад

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.）
2:02

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

38,700 просмотров • 6 месяцев назад

🎢 UNIVERSAL STUDIOS FATIGUE: THE BREAKDOWN Is public arguing the #1 cause of social fatigue now? FROM COMPLAINT TO COMPLETE FATIGUE IN 30 SECONDS EXTREME FATIGUE: NOW PLAYING AT UNIVERSAL FROM COMPLAINT TO COMPLETE FATIGUE IN 30 SECONDS…Yelling and screaming comes naturally. She’s mid-complaint (volume on 100) about wait times, prices, and probably the temperature of the air… when an angry woman hits her with that “I’ve had ENOUGH of this” energy. Security pulls up, and an angry woman flips into full fatigue victim mode: “This whole situation has caused me stress” Bystanders like: “Ma’am… we’re tired just listening to you.
2:58

🎢 UNIVERSAL STUDIOS FATIGUE: THE BREAKDOWN Is public arguing the #1 cause of social fatigue now? FROM COMPLAINT TO COMPLETE FATIGUE IN 30 SECONDS EXTREME FATIGUE: NOW PLAYING AT UNIVERSAL FROM COMPLAINT TO COMPLETE FATIGUE IN 30 SECONDS…Yelling and screaming comes naturally. She’s mid-complaint (volume on 100) about wait times, prices, and probably the temperature of the air… when an angry woman hits her with that “I’ve had ENOUGH of this” energy. Security pulls up, and an angry woman flips into full fatigue victim mode: “This whole situation has caused me stress” Bystanders like: “Ma’am… we’re tired just listening to you.

𝐌𝐑. 𝐖𝐇𝐈𝐓𝐄 ™

21,866 просмотров • 6 месяцев назад

LimX Dynamics just released LimX Luna, officially described by the company as the first mass-deliverable full-size female humanoid robot. 🤖 This is not aimed at warehouses; it is built for malls, theme parks, auto shows, brand events, and other commercial spaces where attention is the product. Luna stands 160 cm tall, has 27 body DoF excluding end effectors, and combines whole-body motion control with voice, vision, facial expressions, gesture interaction, and motion imitation. The sharper part is the content stack: users can upload dance videos, build scenes with zero-code tools in LimX Studio, and run synchronized shows with up to 200 robots. That makes Luna less like a one-off demo machine and more like a programmable entertainment platform for foot traffic, performances, and social clips. For humanoids, this is a useful shift: not only “can it do labor,” but “can it create a consumer experience people actually stop to watch.”
1:48

LimX Dynamics just released LimX Luna, officially described by the company as the first mass-deliverable full-size female humanoid robot. 🤖 This is not aimed at warehouses; it is built for malls, theme parks, auto shows, brand events, and other commercial spaces where attention is the product. Luna stands 160 cm tall, has 27 body DoF excluding end effectors, and combines whole-body motion control with voice, vision, facial expressions, gesture interaction, and motion imitation. The sharper part is the content stack: users can upload dance videos, build scenes with zero-code tools in LimX Studio, and run synchronized shows with up to 200 robots. That makes Luna less like a one-off demo machine and more like a programmable entertainment platform for foot traffic, performances, and social clips. For humanoids, this is a useful shift: not only “can it do labor,” but “can it create a consumer experience people actually stop to watch.”

RoboHub🤖

14,205 просмотров • 4 месяцев назад

Building humanoids just got a whole lot easier. 🤖🛠️ Roboparty has officially released the full-stack source code and hardware blueprints for their Roboto_Original bipedal robot. This isn't just another GitHub repo—it’s a complete roadmap designed to slash development costs by a projected 80% and turn "secret sauce" into shared infrastructure. ➤ High-Performance Specs: Standing 1.2m (3.9ft) and weighing 30kg (66lbs), this bot hits a running speed of 3m/s (6.7mph). It features an auto-grade structure and modular joints, proving open-source hardware can absolutely compete at a top-tier level. ➤ The Ultimate Dev Kit: They’ve opened up everything: full structural drawings, EBOMs, a supplier list, and even their AMP motion control algorithms. It even supports SMPL-X to leverage human motion capture data, making gait training way more efficient. ➤ No More Reinventing the Wheel: By sharing their Sim2Real gap solutions and a "Know-how" knowledge base, Roboparty is helping the community skip the trial-and-error phase. The goal is to move from "showy stunts" to actual real-world utility. ➤ Ready to fork the future? Check out the resources: GitHub: Gitee: Docs: Source: Roboparty #HumanoidRobots #OpenSource #EmbodiedAI #Roboparty #Robotics #BuildInPublic
0:55

Building humanoids just got a whole lot easier. 🤖🛠️ Roboparty has officially released the full-stack source code and hardware blueprints for their Roboto_Original bipedal robot. This isn't just another GitHub repo—it’s a complete roadmap designed to slash development costs by a projected 80% and turn "secret sauce" into shared infrastructure. ➤ High-Performance Specs: Standing 1.2m (3.9ft) and weighing 30kg (66lbs), this bot hits a running speed of 3m/s (6.7mph). It features an auto-grade structure and modular joints, proving open-source hardware can absolutely compete at a top-tier level. ➤ The Ultimate Dev Kit: They’ve opened up everything: full structural drawings, EBOMs, a supplier list, and even their AMP motion control algorithms. It even supports SMPL-X to leverage human motion capture data, making gait training way more efficient. ➤ No More Reinventing the Wheel: By sharing their Sim2Real gap solutions and a "Know-how" knowledge base, Roboparty is helping the community skip the trial-and-error phase. The goal is to move from "showy stunts" to actual real-world utility. ➤ Ready to fork the future? Check out the resources: GitHub: Gitee: Docs: Source: Roboparty #HumanoidRobots #OpenSource #EmbodiedAI #Roboparty #Robotics #BuildInPublic

RoboHub🤖

63,971 просмотров • 8 месяцев назад

A 25-DoF dual-arm wheeled humanoid for under $3K. 🤖 VLAI Robotics just launched K1 in China, continuing its low-cost strategy with a starting price of just ¥19,800 (~$2.9K). The hardware: • Two 6 kg-payload arms • Movable waist and head • 4-wheel omnidirectional base • ±0.02 mm repeatability • <10 ms control latency Grippers and dexterous hands are optional. The developer stack is unusually open for the price: LeRobot, ROS 2, MoveIt 2, Isaac Sim/Lab and MuJoCo, with support for teleop, VLA and world-model workflows. VLAI says cumulative shipments are already approaching 1,000 units. At this price point, mobile manipulation hardware is getting cheap enough that the real bottleneck may shift from buying the robot to making it actually useful.
2:33

A 25-DoF dual-arm wheeled humanoid for under $3K. 🤖 VLAI Robotics just launched K1 in China, continuing its low-cost strategy with a starting price of just ¥19,800 (~$2.9K). The hardware: • Two 6 kg-payload arms • Movable waist and head • 4-wheel omnidirectional base • ±0.02 mm repeatability • <10 ms control latency Grippers and dexterous hands are optional. The developer stack is unusually open for the price: LeRobot, ROS 2, MoveIt 2, Isaac Sim/Lab and MuJoCo, with support for teleop, VLA and world-model workflows. VLAI says cumulative shipments are already approaching 1,000 units. At this price point, mobile manipulation hardware is getting cheap enough that the real bottleneck may shift from buying the robot to making it actually useful.

RoboHub🤖

24,848 просмотров • 1 месяц назад

In continuous cable manufacturing, compressed air performance must keep pace with constantly changing production demands. In a leading cable manufacturing facility, compressed air plays a critical role across extrusion controls, air-wipe drying, cleaning, and material handling systems, making pressure stability and compressor reliability essential for consistent product quality and high uptime. At the plant, a 75 kW fixed-speed compressor reliably met base air requirements. However, variations in production loads, line speeds, and process cycles led to frequent demand fluctuations, resulting in repeated compressor cycling, higher energy consumption, and pressure instability across the system. With the deployment of ELGi’s DEMAND=MATCH System, performance was evaluated under actual operating conditions by comparing operations with and without DEMAND=MATCH. The results were clearly validated. • 11.1% reduction in average power consumption (from 69.9 kWh to 62.1 kWh per hour) • Approximately 1,489 units of energy saved over just eight days of actual running • Reduced load cycling, leading to improved pressure stability and lower mechanical stress on the compressor This deployment demonstrates how intelligent airflow control can deliver measurable gains in energy efficiency, system stability, and operational reliability, all critical in a continuous manufacturing environment. A strong example of how aligning compressed air delivery with real-time demand can drive sustainable performance improvements on the shopfloor. Learn more about how DEMAND=MATCH optimises compressed air systems:
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In continuous cable manufacturing, compressed air performance must keep pace with constantly changing production demands. In a leading cable manufacturing facility, compressed air plays a critical role across extrusion controls, air-wipe drying, cleaning, and material handling systems, making pressure stability and compressor reliability essential for consistent product quality and high uptime. At the plant, a 75 kW fixed-speed compressor reliably met base air requirements. However, variations in production loads, line speeds, and process cycles led to frequent demand fluctuations, resulting in repeated compressor cycling, higher energy consumption, and pressure instability across the system. With the deployment of ELGi’s DEMAND=MATCH System, performance was evaluated under actual operating conditions by comparing operations with and without DEMAND=MATCH. The results were clearly validated. • 11.1% reduction in average power consumption (from 69.9 kWh to 62.1 kWh per hour) • Approximately 1,489 units of energy saved over just eight days of actual running • Reduced load cycling, leading to improved pressure stability and lower mechanical stress on the compressor This deployment demonstrates how intelligent airflow control can deliver measurable gains in energy efficiency, system stability, and operational reliability, all critical in a continuous manufacturing environment. A strong example of how aligning compressed air delivery with real-time demand can drive sustainable performance improvements on the shopfloor. Learn more about how DEMAND=MATCH optimises compressed air systems:

Elgi Equipments Limited

85,677 просмотров • 8 месяцев назад

This is just crazy! Clone just introduced the Torso 2, a groundbreaking android that sets a new standard for robotics. This advanced prototype features 910 artificial muscle fibers, 164 degrees of freedom, and 182 sensors for precise feedback control, enabling fluid, human-like movement. With an actuated lumbar spine and a full set of abdominal muscles, Torso 2’s design mimics human anatomy for unprecedented natural motion. Encased in a sleek, white transparent skin, the Torso 2 utilizes pneumatic actuation to animate its muscles, though current off-the-shelf valves create some noise due to air exhaust. Clone plans to return to a quieter hydraulic design with custom liquid valves for future bipedal robots. The current temporary opaque visor will also be replaced with a one-way mirror for a more polished look. The Torso 2 demonstrates Clone’s hardware potential, running hand-coded sequences to control each muscle. With the promise of legs arriving soon, Clone Robotics is inching closer to creating silent, fully humanoid androids—marking a major leap toward lifelike robotic functionality.
0:51

This is just crazy! Clone just introduced the Torso 2, a groundbreaking android that sets a new standard for robotics. This advanced prototype features 910 artificial muscle fibers, 164 degrees of freedom, and 182 sensors for precise feedback control, enabling fluid, human-like movement. With an actuated lumbar spine and a full set of abdominal muscles, Torso 2’s design mimics human anatomy for unprecedented natural motion. Encased in a sleek, white transparent skin, the Torso 2 utilizes pneumatic actuation to animate its muscles, though current off-the-shelf valves create some noise due to air exhaust. Clone plans to return to a quieter hydraulic design with custom liquid valves for future bipedal robots. The current temporary opaque visor will also be replaced with a one-way mirror for a more polished look. The Torso 2 demonstrates Clone’s hardware potential, running hand-coded sequences to control each muscle. With the promise of legs arriving soon, Clone Robotics is inching closer to creating silent, fully humanoid androids—marking a major leap toward lifelike robotic functionality.

Ed Krassenstein

29,566 просмотров • 1 год назад

Not a preplanned motion sequence. A robot deciding mid-jump what to do next. [📍 paper + demo] Researchers just showed a humanoid doing real parkour using only onboard perception. No motion script, no fixed obstacle layout. The system is called Perceptive Humanoid Parkour (PHP). Instead of memorizing a path, the robot reads depth from its cameras and continuously chooses actions. Step, vault, climb, or roll depending on what geometry appears in front of it. To make that possible, they combine three ideas: First, they stitch together human motion clips into long movement references so the robot learns fluid transitions instead of isolated tricks. Second, they train tracking policies with reinforcement learning so contacts land at the right time and the robot keeps balance during dynamic moves. Finally, everything is distilled into one perception policy that runs directly from depth input to action selection. The result on a Unitree G1: about 3 m/s vaults wall climbs up to 1.25 m nearly one minute continuous obstacle traversal adapting when obstacles move What matters is not the tricks. It is the shift in capability. Earlier humanoids executed motions. This one navigates situations. Once robots react to geometry instead of replaying trajectories, environments stop needing to be predictable. Warehouses, homes, and outdoors suddenly become the same problem. Thanks for sharing, Zhen Wu! Paper + demo: ——— Weekly robotics and AI insights. Subscribe free:
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Not a preplanned motion sequence. A robot deciding mid-jump what to do next. [📍 paper + demo] Researchers just showed a humanoid doing real parkour using only onboard perception. No motion script, no fixed obstacle layout. The system is called Perceptive Humanoid Parkour (PHP). Instead of memorizing a path, the robot reads depth from its cameras and continuously chooses actions. Step, vault, climb, or roll depending on what geometry appears in front of it. To make that possible, they combine three ideas: First, they stitch together human motion clips into long movement references so the robot learns fluid transitions instead of isolated tricks. Second, they train tracking policies with reinforcement learning so contacts land at the right time and the robot keeps balance during dynamic moves. Finally, everything is distilled into one perception policy that runs directly from depth input to action selection. The result on a Unitree G1: about 3 m/s vaults wall climbs up to 1.25 m nearly one minute continuous obstacle traversal adapting when obstacles move What matters is not the tricks. It is the shift in capability. Earlier humanoids executed motions. This one navigates situations. Once robots react to geometry instead of replaying trajectories, environments stop needing to be predictable. Warehouses, homes, and outdoors suddenly become the same problem. Thanks for sharing, Zhen Wu! Paper + demo: ——— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

22,127 просмотров • 7 месяцев назад

A humanoid robot is now climbing vertical industrial tanks to weld, grind, inspect, and remove rust. 🧲🤖 This is RobotPlusPlus’ embodied-intelligence wall-climbing robot, now deployed in high-risk scenes across chemical plants, shipyards, and energy facilities. The upper body uses dual humanoid arms. The lower body uses a wheeled magnetic-adhesion chassis that lets the robot work on steel walls instead of flat factory floors. The reported specs are industrial, not demo-stage: 90 kg body weight, 15 degrees of freedom, 12 active arm joints, millisecond-level remote response, and tethered power for long-duration operation. The real advantage is tool switching. Swap the end effectors, and the same platform can move between welding, grinding, flaw detection, rust removal, spraying, and surface treatment. For operators, the workflow changes from climbing scaffolds or hanging in baskets to controlling the robot through a remote interface and VR glasses. RobotPlusPlus says its special-operation model has learned from 100,000+ hours of field work, 22,500 km of operating distance, and 5,000 km² of covered work area. This is where embodied AI starts to look useful: not dancing onstage, but taking tools into places humans should not have to enter.
3:18

A humanoid robot is now climbing vertical industrial tanks to weld, grind, inspect, and remove rust. 🧲🤖 This is RobotPlusPlus’ embodied-intelligence wall-climbing robot, now deployed in high-risk scenes across chemical plants, shipyards, and energy facilities. The upper body uses dual humanoid arms. The lower body uses a wheeled magnetic-adhesion chassis that lets the robot work on steel walls instead of flat factory floors. The reported specs are industrial, not demo-stage: 90 kg body weight, 15 degrees of freedom, 12 active arm joints, millisecond-level remote response, and tethered power for long-duration operation. The real advantage is tool switching. Swap the end effectors, and the same platform can move between welding, grinding, flaw detection, rust removal, spraying, and surface treatment. For operators, the workflow changes from climbing scaffolds or hanging in baskets to controlling the robot through a remote interface and VR glasses. RobotPlusPlus says its special-operation model has learned from 100,000+ hours of field work, 22,500 km of operating distance, and 5,000 km² of covered work area. This is where embodied AI starts to look useful: not dancing onstage, but taking tools into places humans should not have to enter.

RoboHub🤖

79,853 просмотров • 4 месяцев назад

This is how they make a 535-pound bluefin tuna that sells for $3.24 million. Each fish eats 10 kg of fresh sardines per day for roughly two years to get there. Bluefin biology dictates the ratio. A bluefin runs its red swimming muscle, brain, and viscera 10 to 21°C above the surrounding water using a countercurrent heat exchanger called the rete mirabile, which traps metabolic heat that would otherwise vent through the gills. The heat is what lets the fish cruise at 7 mph and burst at 40. It is also a furnace that needs feeding. The mechanical constraint is the second half. Bluefin have undersized swim bladders, so their bodies are denser than seawater. They sink unless they swim. They are also obligate ram ventilators, meaning they cannot pump water across their gills the way most fish do. They keep moving forward with their mouth open or they suffocate. A 1-meter tuna swims roughly 43 km a day just to breathe and stay neutrally buoyant. A 200 kg market-size fish does far more. Now the feed math. Measured feed conversion ratio for ranched bluefin runs 20 to 30 to 1. To put 1 kg of meat on the fish, the farmer pours in 20 to 30 kg of sardine, herring, mackerel, or anchovy. A 200 kg tuna eats roughly its own body weight in baitfish every 20 days. Across a two-year fattening cycle, one fish runs through several thousand kilograms of wild-caught forage species. The $3.24 million number was the Oma bluefin that cleared Toyosu's January 2026 New Year auction. Ordinary wholesale runs closer to $30,000 per high-grade fish. A 28:1 conversion ratio is the entire reason bluefin exists as a luxury market. Compare to species that domesticated cleanly. Salmon FCR sits around 1.2:1. Chicken sits around 1.7. Each is a herbivore-leaning omnivore that converts plant protein into muscle at near parity. Bluefin will not eat pellets in any commercial volume. Their gut, search pattern, and muscle physiology are built for live oily fish at high speed. Ichthus Unlimited has spent two decades formulating a soy-based diet that brings the ratio to 4:1 in laboratory conditions. Commercial uptake stays negligible. The other route out is closed-cycle hatchery production. Kindai University in Japan completed the full life cycle in 2002. Twenty-four years later, fewer than 5% of farmed bluefin come from hatchery eggs. The rest are wild juveniles caught in the Mediterranean or off Mexico, towed back to pens at walking pace, and fed wild baitfish for one to three years. Evolution built one species that runs hot, swims forever, and refuses to eat anything that is not already swimming. The 28:1 ratio is what it costs to keep that animal alive in a net pen. The seagulls in the video figured out the trade before the economists did.
0:22

This is how they make a 535-pound bluefin tuna that sells for $3.24 million. Each fish eats 10 kg of fresh sardines per day for roughly two years to get there. Bluefin biology dictates the ratio. A bluefin runs its red swimming muscle, brain, and viscera 10 to 21°C above the surrounding water using a countercurrent heat exchanger called the rete mirabile, which traps metabolic heat that would otherwise vent through the gills. The heat is what lets the fish cruise at 7 mph and burst at 40. It is also a furnace that needs feeding. The mechanical constraint is the second half. Bluefin have undersized swim bladders, so their bodies are denser than seawater. They sink unless they swim. They are also obligate ram ventilators, meaning they cannot pump water across their gills the way most fish do. They keep moving forward with their mouth open or they suffocate. A 1-meter tuna swims roughly 43 km a day just to breathe and stay neutrally buoyant. A 200 kg market-size fish does far more. Now the feed math. Measured feed conversion ratio for ranched bluefin runs 20 to 30 to 1. To put 1 kg of meat on the fish, the farmer pours in 20 to 30 kg of sardine, herring, mackerel, or anchovy. A 200 kg tuna eats roughly its own body weight in baitfish every 20 days. Across a two-year fattening cycle, one fish runs through several thousand kilograms of wild-caught forage species. The $3.24 million number was the Oma bluefin that cleared Toyosu's January 2026 New Year auction. Ordinary wholesale runs closer to $30,000 per high-grade fish. A 28:1 conversion ratio is the entire reason bluefin exists as a luxury market. Compare to species that domesticated cleanly. Salmon FCR sits around 1.2:1. Chicken sits around 1.7. Each is a herbivore-leaning omnivore that converts plant protein into muscle at near parity. Bluefin will not eat pellets in any commercial volume. Their gut, search pattern, and muscle physiology are built for live oily fish at high speed. Ichthus Unlimited has spent two decades formulating a soy-based diet that brings the ratio to 4:1 in laboratory conditions. Commercial uptake stays negligible. The other route out is closed-cycle hatchery production. Kindai University in Japan completed the full life cycle in 2002. Twenty-four years later, fewer than 5% of farmed bluefin come from hatchery eggs. The rest are wild juveniles caught in the Mediterranean or off Mexico, towed back to pens at walking pace, and fed wild baitfish for one to three years. Evolution built one species that runs hot, swims forever, and refuses to eat anything that is not already swimming. The 28:1 ratio is what it costs to keep that animal alive in a net pen. The seagulls in the video figured out the trade before the economists did.

Aakash Gupta

3,166,091 просмотров • 5 месяцев назад

Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃‍♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the line, and nearly 40% of them are entering the autonomous navigation group instead of relying on remote control. The course is not getting easier either. Same 21.0975 km, but with more urban slopes, rolling sections, and park terrain built to expose weak points in control, perception, and endurance. That is what makes this race worth watching. If some of these machines really get close to one hour, the story is no longer “robots can run.” It becomes “humanoids are starting to hold speed, balance, and navigation together over real distance.” And that matters far beyond a race course. This is one of the clearest public tests yet for where humanoid robotics actually stands in hardware, motion control, power systems, and autonomous mobility. Sunday’s headline will be the time. The bigger takeaway will be how much of that pace is still there at kilometer 15, 18, and 21. I want to see who is actually fast, who is truly autonomous, and who can finish without falling apart. That is where the real signal will be.
2:50

Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃‍♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the line, and nearly 40% of them are entering the autonomous navigation group instead of relying on remote control. The course is not getting easier either. Same 21.0975 km, but with more urban slopes, rolling sections, and park terrain built to expose weak points in control, perception, and endurance. That is what makes this race worth watching. If some of these machines really get close to one hour, the story is no longer “robots can run.” It becomes “humanoids are starting to hold speed, balance, and navigation together over real distance.” And that matters far beyond a race course. This is one of the clearest public tests yet for where humanoid robotics actually stands in hardware, motion control, power systems, and autonomous mobility. Sunday’s headline will be the time. The bigger takeaway will be how much of that pace is still there at kilometer 15, 18, and 21. I want to see who is actually fast, who is truly autonomous, and who can finish without falling apart. That is where the real signal will be.

RoboHub🤖

209,946 просмотров • 5 месяцев назад

⚡🇺🇸 C-5 Super Galaxy: The Giant That Carries Armies in the Sky The sky just turned into a moving fortress. A C-5M Super Galaxy lifting off, carrying not one, not two, but FOUR AH-64 Apache gunships inside. This is not just an aircraft, it’s a flying military base. The C-5 isn’t built small. It has 28 massive wheels just to handle its weight and can carry more than 130 tons of cargo in a single mission. Tanks, helicopters, and full combat units can all fit inside this giant machine. At full capacity, it feels like half a city is moving through the air. This is how modern militaries project power across the world, fast, heavy, and unstoppable. When a C-5 arrives, it doesn’t just deliver equipment, it delivers presence. How many air forces can actually match this level of airlift capability?
0:29

⚡🇺🇸 C-5 Super Galaxy: The Giant That Carries Armies in the Sky The sky just turned into a moving fortress. A C-5M Super Galaxy lifting off, carrying not one, not two, but FOUR AH-64 Apache gunships inside. This is not just an aircraft, it’s a flying military base. The C-5 isn’t built small. It has 28 massive wheels just to handle its weight and can carry more than 130 tons of cargo in a single mission. Tanks, helicopters, and full combat units can all fit inside this giant machine. At full capacity, it feels like half a city is moving through the air. This is how modern militaries project power across the world, fast, heavy, and unstoppable. When a C-5 arrives, it doesn’t just deliver equipment, it delivers presence. How many air forces can actually match this level of airlift capability?

Defense Intelligence

34,175 просмотров • 6 месяцев назад