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Chinese consumer electronics maker Honor will unveil its first humanoid robot on March 1 at MWC 2026 in Barcelona. The robot is designed for retail & home service. The company sold a whopping 71 million smartphones in 2025. Looks like a customized Unitree G1 with a 2DoF neck.

The Humanoid Hub

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58,290 views • 4 months ago •via X (Twitter)

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🚨 BREAKING: Amazon has officially acquired New York-based Fauna Robotics, the startup behind the soft-bodied Sprout humanoid. While Amazon has aggressively pursued automation in its fulfillment centers, this acquisition signals a massive escalation in the race for the consumer home market. Sprout is a bipedal robot designed specifically for the "messy reality" of shared human spaces.

🚨 BREAKING: Amazon has officially acquired New York-based Fauna Robotics, the startup behind the soft-bodied Sprout humanoid. While Amazon has aggressively pursued automation in its fulfillment centers, this acquisition signals a massive escalation in the race for the consumer home market. Sprout is a bipedal robot designed specifically for the "messy reality" of shared human spaces.

Humanoids daily

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In the future, it might just be humanoid robots doing the refueling!🤖⛽️ Sinopec plans to introduce humanoid robot workers across its gas stations. They will handle tasks like fueling, picking up items, restocking, and inspections,working alongside human staff, especially during peak holiday periods in China to ease service pressure. With more than 30,000 gas stations across the country (most of them equipped with convenience stores), this implies a deployment of at least 30,000 humanoid robots. The robot is a wheeled humanoid developed by Beijing-based company FIVEAGES.

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A Chinese delivery robot couldn’t keep its balance during a snowstorm and started drifting Looks like it’s an irresistible urge for every creature in the universe😄

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🚨BREAKING Unitree's IPO application on the Science and Technology Innovation Board has been formally accepted by the Shanghai Stock Exchange, with a planned fundraising of 4.202 billion yuan. Of this, the intelligent robot model R&D project accounts for the majority, amounting to 2 billion yuan. In other words: For Unitree, hardware is no longer the problem,the real bottleneck that urgently needs to be overcome is the development of intelligent robot models. Notably, Unitree reports that it has sold over 5,500 humanoid robots,ranking first globally,making them the growth engine of its robotics business.

🚨BREAKING Unitree's IPO application on the Science and Technology Innovation Board has been formally accepted by the Shanghai Stock Exchange, with a planned fundraising of 4.202 billion yuan. Of this, the intelligent robot model R&D project accounts for the majority, amounting to 2 billion yuan. In other words: For Unitree, hardware is no longer the problem,the real bottleneck that urgently needs to be overcome is the development of intelligent robot models. Notably, Unitree reports that it has sold over 5,500 humanoid robots,ranking first globally,making them the growth engine of its robotics business.

CyberRobo

90,612 views • 3 months ago

I've gotten a mujoco sim RL training loop for a unitree robot at 200k SPS. I'm looking into the physics for friction, contact dynamics. My goal: can I reproduce & beat the mujoco playground RL baselines This is running in my web browser with raylib. Its the baseline

I've gotten a mujoco sim RL training loop for a unitree robot at 200k SPS. I'm looking into the physics for friction, contact dynamics. My goal: can I reproduce & beat the mujoco playground RL baselines This is running in my web browser with raylib. Its the baseline

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29,728 views • 1 month ago

OPTIMUS V3 UNVEILING Q1 2026 - "WON'T EVEN SEEM LIKE A ROBOT" Elon: "Optimus V3 is something special. It won't even seem like a robot. It'll seem like a person in a robot suit." Tesla's targeting early 2026 for the reveal - probably Q1. Production line with 1M unit annual capacity starts construction end of 2025. Actual production ramp will take time because there's no humanoid robot supply chain. 10,000 unique components. Vertically integrated production - Tesla will make most parts themselves. First batch: 5,000-12,000 units in 2025 (target is 10K, success is 5K). Next year: 50,000 units. Elon calls it "the biggest product of all time by far." The robot can fold laundry, wipe tables, shake hands. Tactile hands with human-like dexterity. Already walking around Palo Alto offices 24/7. If he's right, Optimus will be worth more than Tesla's entire vehicle business. Source: Tesla Oracle, Motley Fool, XRoboHub on YT

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Mario Nawfal

399,544 views • 8 months ago

When will we see the first accidental death caused by a robot? There was a close call: the Unitree H1 lost control and started throwing punches because of a bug in its code that put it into a "maintain balance at all costs" loop. It happened in China.

When will we see the first accidental death caused by a robot? There was a close call: the Unitree H1 lost control and started throwing punches because of a bug in its code that put it into a "maintain balance at all costs" loop. It happened in China.

Javi Lopez ⛩️

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OpenAI is set to unveil new Codex hardware on July 15..... The company teased a custom macro pad (in collaboration with mechanical keyboard maker Work Louder) designed as a physical control panel for its AI coding assistant. It features programmable buttons and shortcuts to streamline developer workflows with Codex.

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Korean robotics leader ROBOTIS has unveiled the 'AI Sapiens' humanoid, a direct challenge to Unitree’s G1 and R1 models. - 4'3" (130 cm) tall and weighing 34 kg. - Features 23 DOF, powered by the brand-new Dynamixel-Q actuators. The robot is a fully open-source hardware system designed to serve as a reliable hardware platform for advanced Physical AI research. AI Sapiens is slated for an H1 2026 launch, with a price point expected in the mid-to-low 10 million KRW range (~$7,000 – $8,700 USD).

The Humanoid Hub

95,469 views • 2 months ago

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Shenzhen Channel

14,978 views • 6 months ago

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ENGINEAI just opened registration for URKL, a global humanoid fighting league with an insane ¥10,000,000 (approx. $1.39 million) top prize. 🤖🥊 This is a massive engineering challenge focused on motion control and balance using the "T800" humanoid as the standard bot. The rules are strictly "non-violent," meaning no destructive mods are allowed. You win through better code and smarter protective gear. Here is the breakdown for teams looking to jump in: ➤ Massive Payouts: The winner takes ¥10,000,000 (approx. $1.39 million), second gets ¥2,000,000 (approx. $278,000), and third takes ¥1,000,000 (approx. $139,000). ➤ Hardware Perks: Every team that makes it into the Top 16 officially owns their T800 robot. ➤ Career Fast-Track: Top 8 finalists get a "Green Channel" straight to the final interview for job offers at ENGINEAI. ➤ Registration: Open from March 1 to April 30. Teams need at least 3 members with skills in control, electronics, or mechanical design. ➤ Global Finals: After the qualifiers, the world championship is set for December 2026 through January 2027. Once you are in, the committee hands over the simulation platform and T800 models to start training your boxing algorithms. Full Info: #Robot #Humanoid #Robotics #AI #EmbodiedAI #PhysicalAI #URKL #ENGINEAI #RobotFighting

RoboHub🤖

30,637 views • 4 months ago

The same day U.S. humanoid startup KScale shuts down, Let's deal, a major EV maker, released their new generation humanoid robot IRON It's mind-blowing: - Targeted mass production: 2026 - 3x XPeng home made Turning AI chip with 2250 TOPS - Human-like spine with full cover soft skin - Powered by Physical World Large Model - Early user pilot in industrial areas Is XPeng going to be the next TSLA + NVDA? Potentially time to long NYSE: XPEV.

The same day U.S. humanoid startup KScale shuts down, Let's deal, a major EV maker, released their new generation humanoid robot IRON It's mind-blowing: - Targeted mass production: 2026 - 3x XPeng home made Turning AI chip with 2250 TOPS - Human-like spine with full cover soft skin - Powered by Physical World Large Model - Early user pilot in industrial areas Is XPeng going to be the next TSLA + NVDA? Potentially time to long NYSE: XPEV.

Tiezhen WANG

173,628 views • 8 months ago

Mondo is the most adorable companion robot. It’s safe around kids, can track and follow a person, and capture high-resolution action videos. Mondo is also doing frontier research in humanoid Video-Action models built on a world model backbone: I have no doubt we’ll be hearing this name a lot in consumer robotics. Thanks Mondo Robotics Shuo Yang for the tour.

Mondo is the most adorable companion robot. It’s safe around kids, can track and follow a person, and capture high-resolution action videos. Mondo is also doing frontier research in humanoid Video-Action models built on a world model backbone: I have no doubt we’ll be hearing this name a lot in consumer robotics. Thanks Mondo Robotics Shuo Yang for the tour.

The Humanoid Hub

27,447 views • 26 days ago

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 views • 4 months ago

While everybody is talking about #OpenAI , this is what the #CCP is developing. The first robot that can do somersaults is dressed in a "police" outfit (The two Chinese words mean "police"), while the second one has a machine gun on its back. Who are they going to fight against? The video was filmed on April 3 in #Yunnan, #CCPChinam #China.

While everybody is talking about #OpenAI , this is what the #CCP is developing. The first robot that can do somersaults is dressed in a "police" outfit (The two Chinese words mean "police"), while the second one has a machine gun on its back. Who are they going to fight against? The video was filmed on April 3 in #Yunnan, #CCPChinam #China.

Inconvenient Truths — Jennifer Zeng Reports

36,244 views • 3 years ago

For the first time ever, robot musicians will perform live in Las Vegas tonight, as part of a 4-act "cybernetic opera" at the Sphere. This marks the beginning of the end for human cellists on the Strip.

For the first time ever, robot musicians will perform live in Las Vegas tonight, as part of a 4-act "cybernetic opera" at the Sphere. This marks the beginning of the end for human cellists on the Strip.

Las Vegas Locally 🌴

123,123 views • 1 year ago

$BOOM! Humanoid Robots Just Performed Surgery for the First Time! REAL VIDEO! In a groundbreaking preclinical breakthrough, researchers at UC San Diego have achieved what many thought was years away: teleoperated humanoid robots successfully completing live surgeries. Published in Nature, the study marks the world’s first use of humanoid robots for in-vivo laparoscopic procedures on large animals (pigs). Two separate surgeries were completed: Key Details •. Procedure: Laparoscopic gallbladder removal (cholecystectomy) •. Team 1: Human surgeon + one humanoid robot (the robot performed core tasks while the human assisted) •. Team 2: Two humanoid robots working together with no human at the operating table •. Robots: Custom “Surgie” humanoids (~5 ft tall, ~60 lbs) using standard surgical tools •. Control: Fully teleoperated by surgeons (remote human control, not autonomous) •. Significance: First demonstration of humanoid robots handling real surgical workflows in a live setting, proving compatibility with existing OR tools and spaces This proof shows humanoid robots could one day help address surgeon shortages, enable remote procedures in rural areas, battlefields, or even space all at a fraction of the cost and space of traditional surgical robots like da Vinci. Read the full publication here: Project page with video: The future of surgery just got a whole lot more interesting. And medical cost for the first time in decades will be scheduled to go down, much further down.$

BOOM! Humanoid Robots Just Performed Surgery for the First Time! REAL VIDEO! In a groundbreaking preclinical breakthrough, researchers at UC San Diego have achieved what many thought was years away: teleoperated humanoid robots successfully completing live surgeries. Published in Nature, the study marks the world’s first use of humanoid robots for in-vivo laparoscopic procedures on large animals (pigs). Two separate surgeries were completed: Key Details •. Procedure: Laparoscopic gallbladder removal (cholecystectomy) •. Team 1: Human surgeon + one humanoid robot (the robot performed core tasks while the human assisted) •. Team 2: Two humanoid robots working together with no human at the operating table •. Robots: Custom “Surgie” humanoids (~5 ft tall, ~60 lbs) using standard surgical tools •. Control: Fully teleoperated by surgeons (remote human control, not autonomous) •. Significance: First demonstration of humanoid robots handling real surgical workflows in a live setting, proving compatibility with existing OR tools and spaces This proof shows humanoid robots could one day help address surgeon shortages, enable remote procedures in rural areas, battlefields, or even space all at a fraction of the cost and space of traditional surgical robots like da Vinci. Read the full publication here: Project page with video: The future of surgery just got a whole lot more interesting. And medical cost for the first time in decades will be scheduled to go down, much further down.

Brian Roemmele

105,668 views • 5 days ago