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X Square ran a fully autonomous logistics livestream: sorting parcels and flipping the barcode side up for the scanner. - 1,816 parcels/hour (~2 seconds per parcel) - 98% accuracy - ~45% higher throughput than Figure's sub-3 seconds per parcel pace from its multiday livestream in May. It's driven by... show more

The Humanoid Hub

116,177 subscribers

72,067 просмотров • 1 месяц назад •via X (Twitter)

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Комментарии: 14

Фото профиля PrismaX

PrismaX1 месяц назад

1,816 per hour is a real throughput number 🦾

Фото профиля Krafters Robotics

Krafters Robotics1 месяц назад

1,816 parcels/hour is useful. What made up the failures, and did any require a person to reset the line? That tells operators how much of the hour ran without help.

Фото профиля NexoraAI

NexoraAI1 месяц назад

Would be interesting to see how it handles damaged boxes, weird shapes, and reflective packaging

Фото профиля Remcon Equipment

Remcon Equipment1 месяц назад

Every conveyor guy watching this is looking at the table, not the robots.

Фото профиля cetusian

cetusian1 месяц назад

98 percent at 1,816 an hour is about 36 parcels going the wrong way every hour. the throughput number only means something next to what recovery costs. does a miss get caught downstream or does it just arrive somewhere wrong?

Фото профиля Frontier Signal

Frontier Signal1 месяц назад

Useful, but not matched: two fixed arms vs a rotating three-humanoid fleet; 1 hour vs 200. Buyers need cost per successful parcel, changeover, exception recovery, floor space and sustained uptime. Near term, arms/grippers/vision may monetize before humanoid bodies.

Фото профиля Ben Silone

Ben Silone1 месяц назад

@aizorr0 A specialized machine isn’t really comparable to a humanoid robot

Фото профиля ヒカル

ヒカル1 месяц назад

ついに２足ロボットは作業に向かないのに気付いたか

Фото профиля Alexander Dixon

Alexander Dixon1 месяц назад

It’s coming, start becoming interesting now

Фото профиля SEAR

SEAR1 месяц назад

Fast sorting is nice

Фото профиля COCOBOY

COCOBOY1 месяц назад

피규어보다 훨빠르노

Фото профиля Stephan Jaeckel

Stephan Jaeckel1 месяц назад

Obviously much better performance by design, than a humanoid offers. One knows without seeing the data. But the process as such is still broken by design. Whether a human, a humanoid or two robotic arms are applied to it doesn't change that.

Фото профиля Mirrorworld AI

Mirrorworld AI1 месяц назад

2 seconds per parcel with recovery logic. That's where sim-to-real transfer actually shows.

Фото профиля Benjamin Peng

Benjamin Peng1 месяц назад

The recovery behavior may be more important than the raw speed. Real-world robotics gets valuable when it can handle messy inputs, failed grasps, and jams without constant human intervention.

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This robot just beat Figure's package sorting speed. Robotic arms powered by X Square Robot's WALL-B embodied AI sorted 10K parcels in 5 hours 14 minutes. That's 1.88 sec per parcel, ~35% faster than Figure's reported 2.88 seconds per parcel. Figure's 9-day continuous demo in May this year was sustained by 5 unique Figure 03 robots taking turns. The same WALL-B model also runs household tasks and fine manipulation across dexterous hands, arms, and mobile manipulators. The highlight is fascinating to watch. The task is to flip the packages label-side up and slide them down the conveyor. Some unusual packages, like soft toys, get routed to a separate lane.

This robot just beat Figure's package sorting speed. Robotic arms powered by X Square Robot's WALL-B embodied AI sorted 10K parcels in 5 hours 14 minutes. That's 1.88 sec per parcel, ~35% faster than Figure's reported 2.88 seconds per parcel. Figure's 9-day continuous demo in May this year was sustained by 5 unique Figure 03 robots taking turns. The same WALL-B model also runs household tasks and fine manipulation across dexterous hands, arms, and mobile manipulators. The highlight is fascinating to watch. The task is to flip the packages label-side up and slide them down the conveyor. Some unusual packages, like soft toys, get routed to a separate lane.

The Humanoid Hub

40,041 просмотров • 1 месяц назад

$X Square just beat Figure’s package-sorting pace by ~45%—without a humanoid. In a 1-hour autonomous livestream, two WALL-B-powered 6-axis arms handled 1,816 mixed parcels at 98%+ accuracy. Figure’s 200-hour humanoid run averaged 1,248/hour. That’s 1.98 seconds per parcel vs. 2.88 seconds for Figure. Nearly a full second faster on every package. China processed nearly 199B express parcels in 2025. At that scale, every fraction of a second adds up. Figure is betting on the general-purpose humanoid: one body, eventually many jobs. X Square builds humanoids too, but went pragmatic here—pairing WALL-B with purpose-built arms and grippers for a faster, simpler, more economical logistics system. RobotEra made a similar choice. Its M7 at China Post skips the legs too, using an upper-body humanoid at the sorting line. This is one big difference I keep seeing between U.S. and Chinese robotics: U.S. teams like Figure are making a massive bet on the universal humanoid. Chinese teams are often more willing to change the body if it makes the economics work today. Back in June, I called logistics sorting the right first job for humanoids. X Square is making me rethink the “humanoid” part. If the job doesn’t need legs—or five fingers—why pay for them?$

X Square just beat Figure’s package-sorting pace by ~45%—without a humanoid. In a 1-hour autonomous livestream, two WALL-B-powered 6-axis arms handled 1,816 mixed parcels at 98%+ accuracy. Figure’s 200-hour humanoid run averaged 1,248/hour. That’s 1.98 seconds per parcel vs. 2.88 seconds for Figure. Nearly a full second faster on every package. China processed nearly 199B express parcels in 2025. At that scale, every fraction of a second adds up. Figure is betting on the general-purpose humanoid: one body, eventually many jobs. X Square builds humanoids too, but went pragmatic here—pairing WALL-B with purpose-built arms and grippers for a faster, simpler, more economical logistics system. RobotEra made a similar choice. Its M7 at China Post skips the legs too, using an upper-body humanoid at the sorting line. This is one big difference I keep seeing between U.S. and Chinese robotics: U.S. teams like Figure are making a massive bet on the universal humanoid. Chinese teams are often more willing to change the body if it makes the economics work today. Back in June, I called logistics sorting the right first job for humanoids. X Square is making me rethink the “humanoid” part. If the job doesn’t need legs—or five fingers—why pay for them?

RoboHub🤖

86,083 просмотров • 1 месяц назад

Humanoid logistics sorters are starting real shifts in both the U.S. and China 🤖 Figure is entering Catalyst Brands’ Reno logistics center, inside the retail network behind JCPenney, Aéropostale, and Brooks Brothers. RobotEra’s M7 is working at China Post’s Guangzhou logistics hub, feeding and sorting parcels on live lines. This is the right first job for humanoids: repetitive, physical, structured, high-volume, and easy to measure. Figure’s F.03 ran a 200-hour public sorting test and handled nearly 250,000 parcels. RobotEra’s system is being used for parcel feeding, package orientation, and exception handling, with peak throughput reported around 1,200 parcels per hour. The demand side is obvious. China handled nearly 199 billion express parcels in 2025. Guangzhou alone processed about 21.9 billion parcels, more than enough to turn sorting into a brutal labor and throughput problem. The U.S. has a different pressure point. Parcel volume is smaller, but warehouse labor is much more expensive, so a robot that can work long repetitive shifts has a cleaner ROI story if uptime, maintenance, and deployment cost hold up. The hard part is not the demo. It is barcode orientation, soft bags, crushed boxes, recovery after errors, battery swaps, fleet coordination, and keeping the line moving when nobody is filming. Sorting is still only one link in logistics. The bigger test is whether these robots can move from conveyor work into loading, unloading, picking, exception handling, and eventually the last mile — where the environment stops being friendly. That is the real question now. Not whether humanoids can sort packages, but whether they can earn the next job after sorting.

Humanoid logistics sorters are starting real shifts in both the U.S. and China 🤖 Figure is entering Catalyst Brands’ Reno logistics center, inside the retail network behind JCPenney, Aéropostale, and Brooks Brothers. RobotEra’s M7 is working at China Post’s Guangzhou logistics hub, feeding and sorting parcels on live lines. This is the right first job for humanoids: repetitive, physical, structured, high-volume, and easy to measure. Figure’s F.03 ran a 200-hour public sorting test and handled nearly 250,000 parcels. RobotEra’s system is being used for parcel feeding, package orientation, and exception handling, with peak throughput reported around 1,200 parcels per hour. The demand side is obvious. China handled nearly 199 billion express parcels in 2025. Guangzhou alone processed about 21.9 billion parcels, more than enough to turn sorting into a brutal labor and throughput problem. The U.S. has a different pressure point. Parcel volume is smaller, but warehouse labor is much more expensive, so a robot that can work long repetitive shifts has a cleaner ROI story if uptime, maintenance, and deployment cost hold up. The hard part is not the demo. It is barcode orientation, soft bags, crushed boxes, recovery after errors, battery swaps, fleet coordination, and keeping the line moving when nobody is filming. Sorting is still only one link in logistics. The bigger test is whether these robots can move from conveyor work into loading, unloading, picking, exception handling, and eventually the last mile — where the environment stops being friendly. That is the real question now. Not whether humanoids can sort packages, but whether they can earn the next job after sorting.

RoboHub🤖

37,493 просмотров • 4 месяцев назад

Our livestream has wrapped—and the final result is in: 1,816 randomly selected parcels sorted per hour, with a success rate of over 98%. Since the beginning of this year, we’ve worked through the entire loop—from collecting real-world data and training the model to continuously testing and refining the system. We often ask ourselves why we remain committed to a purpose-built gripper. The answer is simple: not for hype, and not for a demo, but for real-world deployment. Our goal is to deliver high efficiency at a lower cost. Some jobs are dirty, dull, and dangerous. We want robots to take on more of that work, so people can focus on what is safer, more creative, and more meaningful. We’ll showcase the complete logistics sorting line live at WRC. Visit us in Hall C, Booth 107, and see it in action!

Our livestream has wrapped—and the final result is in: 1,816 randomly selected parcels sorted per hour, with a success rate of over 98%. Since the beginning of this year, we’ve worked through the entire loop—from collecting real-world data and training the model to continuously testing and refining the system. We often ask ourselves why we remain committed to a purpose-built gripper. The answer is simple: not for hype, and not for a demo, but for real-world deployment. Our goal is to deliver high efficiency at a lower cost. Some jobs are dirty, dull, and dangerous. We want robots to take on more of that work, so people can focus on what is safer, more creative, and more meaningful. We’ll showcase the complete logistics sorting line live at WRC. Visit us in Hall C, Booth 107, and see it in action!

X Square Robot

729,669 просмотров • 1 месяц назад

ROYAL MAIL WORKER JAILED AFTER SKIMMING DRUG PARCELS AND STASHING £1.2M CASH A Slough Royal Mail worker has been locked up after using his sorting-office job to nick suspected cannabis parcels and cash in. Amjad Ali, 50, of Olivia Drive, Slough, got six years and nine months at Reading Crown Court today (3 September). He had already admitted being concerned in the supply of cannabis, theft of parcels, possessing criminal property and having an offensive weapon in a private place. Cops from Thames Valley’s Berkshire East Disruptions Team hit his home, car and a storage locker on 12 December last year. In the locker: £1,185,420 in cash. At home: another £42,290. Charged the next day. The trick was simple. At the Slough logistics centre Ali spotted parcels likely to be X-rayed for drugs, lifted them, and relabelled them to other addresses — including his own. He did it again and again from 2024 into 2025. The mountain of cash is said to be from selling the cannabis on. PC Filippo Brancato called it the force’s biggest cash seizure and said the money grabbed under proceeds of crime laws will go back into policing. He thought he’d found a goldmine in the mailbags. Court says otherwise.

ROYAL MAIL WORKER JAILED AFTER SKIMMING DRUG PARCELS AND STASHING £1.2M CASH A Slough Royal Mail worker has been locked up after using his sorting-office job to nick suspected cannabis parcels and cash in. Amjad Ali, 50, of Olivia Drive, Slough, got six years and nine months at Reading Crown Court today (3 September). He had already admitted being concerned in the supply of cannabis, theft of parcels, possessing criminal property and having an offensive weapon in a private place. Cops from Thames Valley’s Berkshire East Disruptions Team hit his home, car and a storage locker on 12 December last year. In the locker: £1,185,420 in cash. At home: another £42,290. Charged the next day. The trick was simple. At the Slough logistics centre Ali spotted parcels likely to be X-rayed for drugs, lifted them, and relabelled them to other addresses — including his own. He did it again and again from 2024 into 2025. The mountain of cash is said to be from selling the cannabis on. PC Filippo Brancato called it the force’s biggest cash seizure and said the money grabbed under proceeds of crime laws will go back into policing. He thought he’d found a goldmine in the mailbags. Court says otherwise.

Not Guilty TV

98,379 просмотров • 1 месяц назад

Yesterday The Sameer Project did a special initiative. We delivered 150 food parcels, some including fresh vegetables, to families that have severely ill members and need nutritious food to fight their diseases and survive. The Ensan camp in Deir Al Balah homes cancer patients and those experiencing kidney failure. These individuals must remain physically strong to endure their treatments, when they are even available in Gaza. Each parcel was $52 after commission, while the toughest cases received parcels that were an additional $125 after commission, demonstrating just how expensive fresh food is now. Each $52 parcel contained: 2 cans of green peas, 2 cans of chickpeas, 2 cans of beans, 1 bottle of sauce, 1 kilo of lentils, 1 kilo of rice, 1 liter of cooking oil. We sourced: tomatoes, cucumbers, eggplant, courgettes, peppers, lemons, potatoes, spinach, and cauliflower for the 10 most serious cases. Bringing the total for these parcels up to $125. But this distribution was extra special to us because it was to honor the memory of two of our volunteers’ mother who passed away from cancer. She is so proud of her M boys that work tirelessly to support Gaza and contribute so much to the operations of The Sameer Project. Rest in beautiful Paradise, Shaheen ❤️

Yesterday The Sameer Project did a special initiative. We delivered 150 food parcels, some including fresh vegetables, to families that have severely ill members and need nutritious food to fight their diseases and survive. The Ensan camp in Deir Al Balah homes cancer patients and those experiencing kidney failure. These individuals must remain physically strong to endure their treatments, when they are even available in Gaza. Each parcel was $52 after commission, while the toughest cases received parcels that were an additional $125 after commission, demonstrating just how expensive fresh food is now. Each $52 parcel contained: 2 cans of green peas, 2 cans of chickpeas, 2 cans of beans, 1 bottle of sauce, 1 kilo of lentils, 1 kilo of rice, 1 liter of cooking oil. We sourced: tomatoes, cucumbers, eggplant, courgettes, peppers, lemons, potatoes, spinach, and cauliflower for the 10 most serious cases. Bringing the total for these parcels up to $125. But this distribution was extra special to us because it was to honor the memory of two of our volunteers’ mother who passed away from cancer. She is so proud of her M boys that work tirelessly to support Gaza and contribute so much to the operations of The Sameer Project. Rest in beautiful Paradise, Shaheen ❤️

The Sameer Project

65,506 просмотров • 1 год назад

I posted that I built a land acquisition intelligence platform that looks at 1.5M parcels of land across the I-85 corridor for data center and industrial conversion potential. My DMs blew up, had over 130 real estate folks reach out. So I wanted to walk through some of my favorite features in the product, and show you the UI we built. ALL of this was done with Claude code. 1/ A full-screen map explorer rendering 1.5M parcels as vector tiles across 14 North Carolina counties. Click any parcel and get zoning, ownership, tax history, and acreage instantly. 2/ Proximity scoring to every I-85 interchange, power substation, transmission line, and gas pipeline. The parcels closest to infrastructure light up first. 3/ A farmland confidence score (0-100) that cross-references tax programs, land use codes, and acreage heuristics so you're not wasting time on parcels that look like farmland but aren't. 4/ A motivated seller detection engine that flags out-of-state owners, estates and trusts, tax delinquency, long hold periods, and declining assessed values. The sellers most likely to pick up the phone. 5/ Conversion readiness scoring that measures how likely a parcel is to get rezoned for industrial use based on what's already been approved around it. 6/ A composite acquisition score (0-100) with configurable weights. Every fund has different criteria. Drag the sliders and the entire map re-ranks in real time. 7/ Active listing integration pulling 2,100 listings from public sources so you can see what's already on the market alongside off-market opportunities. 8/ A document generation suite that produces institutional-grade investment memos, slide decks, and automated intelligence briefs. Click a parcel, click export, hand it to your investment committee. 9/ Alert monitoring for zoning changes, ownership transfers, and new listings that match your criteria. The platform watches the corridor so your team doesn't have to. Happy to record a longer video when I'm done.

I posted that I built a land acquisition intelligence platform that looks at 1.5M parcels of land across the I-85 corridor for data center and industrial conversion potential. My DMs blew up, had over 130 real estate folks reach out. So I wanted to walk through some of my favorite features in the product, and show you the UI we built. ALL of this was done with Claude code. 1/ A full-screen map explorer rendering 1.5M parcels as vector tiles across 14 North Carolina counties. Click any parcel and get zoning, ownership, tax history, and acreage instantly. 2/ Proximity scoring to every I-85 interchange, power substation, transmission line, and gas pipeline. The parcels closest to infrastructure light up first. 3/ A farmland confidence score (0-100) that cross-references tax programs, land use codes, and acreage heuristics so you're not wasting time on parcels that look like farmland but aren't. 4/ A motivated seller detection engine that flags out-of-state owners, estates and trusts, tax delinquency, long hold periods, and declining assessed values. The sellers most likely to pick up the phone. 5/ Conversion readiness scoring that measures how likely a parcel is to get rezoned for industrial use based on what's already been approved around it. 6/ A composite acquisition score (0-100) with configurable weights. Every fund has different criteria. Drag the sliders and the entire map re-ranks in real time. 7/ Active listing integration pulling 2,100 listings from public sources so you can see what's already on the market alongside off-market opportunities. 8/ A document generation suite that produces institutional-grade investment memos, slide decks, and automated intelligence briefs. Click a parcel, click export, hand it to your investment committee. 9/ Alert monitoring for zoning changes, ownership transfers, and new listings that match your criteria. The platform watches the corridor so your team doesn't have to. Happy to record a longer video when I'm done.

Todd Saunders

86,956 просмотров • 6 месяцев назад

Figure AI, a 🇺🇸US humanoid robot startup, has ignited debate over robot commercialisation on industrial sites by livestreaming on YouTube a humanoid robot deployed at a logistics warehouse sorting packages non-stop for more than 81 hours, while it processed more than 100,000 packages. “Jim” visually recognizes boxes, identifies the orientation of labels, and moves them to designated locations—making all judgments using only its internal computer. It works autonomously without remote control. Expert opinions are divided. One expert described the demonstration as "closer to a science project than a fully commercial service." She cited accuracy as the biggest challenge, noting that scenes throughout the video showed the robot failing to place parcels in precise locations. Some point out that in actual logistics environments, precision matters more than speed, and areas such as handling exceptions or communication between workers remain difficult for robots at this stage. While the robot's sustainability in simple, repetitive tasks has been confirmed, additional verification remains before broad commercialization, observers said. When commercialised, Figure AI robots are expected to cost from $30,000 per unit.

Figure AI, a 🇺🇸US humanoid robot startup, has ignited debate over robot commercialisation on industrial sites by livestreaming on YouTube a humanoid robot deployed at a logistics warehouse sorting packages non-stop for more than 81 hours, while it processed more than 100,000 packages. “Jim” visually recognizes boxes, identifies the orientation of labels, and moves them to designated locations—making all judgments using only its internal computer. It works autonomously without remote control. Expert opinions are divided. One expert described the demonstration as "closer to a science project than a fully commercial service." She cited accuracy as the biggest challenge, noting that scenes throughout the video showed the robot failing to place parcels in precise locations. Some point out that in actual logistics environments, precision matters more than speed, and areas such as handling exceptions or communication between workers remain difficult for robots at this stage. While the robot's sustainability in simple, repetitive tasks has been confirmed, additional verification remains before broad commercialization, observers said. When commercialised, Figure AI robots are expected to cost from $30,000 per unit.

Dovydas Vitkauskas

21,911 просмотров • 4 месяцев назад

X Square Robot Unveils New Embodied AI Model, Says Robots Will Arrive in Homes in 35 Days Backed by Alibaba, ByteDance, Xiaomi and Meituan, X Square Robot unveiled a next-generation embodied AI foundation model for home robots and said its first deployments in everyday households will begin within 35 days. X Square Robot on Tuesday unveiled WALL-B, a new embodied AI foundation model designed for deployment in real-world homes, marking what the company described as a major step toward bringing general-purpose robots into daily family life. At a launch event themed "Born to Bot, Bot to Family," the company also introduced its World Unified Model (WUM) architecture, a training framework that combines vision, language, action and physical prediction within a single system from the outset. X Square said the model is intended to help robots operate in the far more unpredictable setting of a home, where tasks, layouts and interactions vary from moment to moment. "Robots in factories and in homes are completely different. In factories, they repeat the same action 10,000 times without variation. In a home, however, they need to perform 10,000 different actions, each unique and non-repetitive. Therefore, the challenge of a truly intelligent robot lies not in repeating a single action, but in the ability to execute new, untrained movements within unstructured environments. Deploying robots in the home is one of the most significant technical hurdles of our time," said Qian Wang, founder and CEO of X Square Robot. WALL-B is the first real-world implementation of the World Unified Model architecture. Unlike modular systems that train perception, language and control separately, X Square Robot said World Unified Model optimizes those capabilities jointly from the very beginning. The company said that allows physical prediction — including force, friction and collision dynamics — to emerge as part of the model itself, rather than being layered on afterward. "We train all capabilities—vision, language, action, and prediction—within the same network from day one. Much like infants, who do not learn to see, move and speak in isolated, sequential stages, but instead see, move listen and act simultaneously while receiving feedback, we have integrated all these capabilities into a unified whole," said Wang Hao, CTO of X Square. X Square Robot said the development of WALL-B rests on two pillars. The first is a data strategy that prioritizes training on authentic, non-staged home environments to cover the “long-tail” distribution of real-world scenarios, such as misplaced objects and temporary occlusions. Unlike models primarily trained on synthetic data or laboratory datasets, this strategy exposes WALL-B to the natural clutter of lived-in spaces—misplaced items, unexpected obstacles, and spontaneous human activity—ensuring that the training data reflects real-world conditions rather than a simplified version. The second is a physics-aware predictive mechanism that anticipates physical outcomes before an action is taken, enabling the model to respond to contact dynamics instead of just reacting. The development of the self-developed WUM architecture on physical robotic platforms highlights the company’s accumlated experience in bridging sim-to-real gaps across varied operational contexts. Wang commented that the current AI model is still in an "intern" stage, subject to errors requiring remote assistance. For instance, it may mistakenly place slippers in the kitchen or pause while wiping a table to "think". However, the model operates nonstop 24 hours a day, becoming increasingly "intelligent" as each day of operation generates new data. In 35 days, on May 25, X Square Robot will officially bring its robots into everyday homes, underscoring the company’s long-term commitment to the home robotics sector.

X Square Robot Unveils New Embodied AI Model, Says Robots Will Arrive in Homes in 35 Days Backed by Alibaba, ByteDance, Xiaomi and Meituan, X Square Robot unveiled a next-generation embodied AI foundation model for home robots and said its first deployments in everyday households will begin within 35 days. X Square Robot on Tuesday unveiled WALL-B, a new embodied AI foundation model designed for deployment in real-world homes, marking what the company described as a major step toward bringing general-purpose robots into daily family life. At a launch event themed "Born to Bot, Bot to Family," the company also introduced its World Unified Model (WUM) architecture, a training framework that combines vision, language, action and physical prediction within a single system from the outset. X Square said the model is intended to help robots operate in the far more unpredictable setting of a home, where tasks, layouts and interactions vary from moment to moment. "Robots in factories and in homes are completely different. In factories, they repeat the same action 10,000 times without variation. In a home, however, they need to perform 10,000 different actions, each unique and non-repetitive. Therefore, the challenge of a truly intelligent robot lies not in repeating a single action, but in the ability to execute new, untrained movements within unstructured environments. Deploying robots in the home is one of the most significant technical hurdles of our time," said Qian Wang, founder and CEO of X Square Robot. WALL-B is the first real-world implementation of the World Unified Model architecture. Unlike modular systems that train perception, language and control separately, X Square Robot said World Unified Model optimizes those capabilities jointly from the very beginning. The company said that allows physical prediction — including force, friction and collision dynamics — to emerge as part of the model itself, rather than being layered on afterward. "We train all capabilities—vision, language, action, and prediction—within the same network from day one. Much like infants, who do not learn to see, move and speak in isolated, sequential stages, but instead see, move listen and act simultaneously while receiving feedback, we have integrated all these capabilities into a unified whole," said Wang Hao, CTO of X Square. X Square Robot said the development of WALL-B rests on two pillars. The first is a data strategy that prioritizes training on authentic, non-staged home environments to cover the “long-tail” distribution of real-world scenarios, such as misplaced objects and temporary occlusions. Unlike models primarily trained on synthetic data or laboratory datasets, this strategy exposes WALL-B to the natural clutter of lived-in spaces—misplaced items, unexpected obstacles, and spontaneous human activity—ensuring that the training data reflects real-world conditions rather than a simplified version. The second is a physics-aware predictive mechanism that anticipates physical outcomes before an action is taken, enabling the model to respond to contact dynamics instead of just reacting. The development of the self-developed WUM architecture on physical robotic platforms highlights the company’s accumlated experience in bridging sim-to-real gaps across varied operational contexts. Wang commented that the current AI model is still in an "intern" stage, subject to errors requiring remote assistance. For instance, it may mistakenly place slippers in the kitchen or pause while wiping a table to "think". However, the model operates nonstop 24 hours a day, becoming increasingly "intelligent" as each day of operation generates new data. In 35 days, on May 25, X Square Robot will officially bring its robots into everyday homes, underscoring the company’s long-term commitment to the home robotics sector.

X Square Robot

52,968 просмотров • 5 месяцев назад

Eliud Kipchoge’s 1:59:40 marathon run is truly insane when you break down the numbers: ▫️4:35 per mile pace (the record for one mile is 3:43 and he kept the pace 26x) ▫️OR 2:50 per KM pace (he did it 42x and each kilometre was within 2:48 to 2:52) ▫️The average men’s marathon time for 5km is ~30 mins (Kipchoge’s 5km pace was 14:13 mins, which he did ~8x) ▫️The world record 10km run is 26:11 (Kipchoge’s 5km pace was 28:26 which he did ~4x) ▫️His 100m pace was 17 seconds, which he did 422x ▫️The 21km per hour pace (or 13 miles per hour) isn’t even available on some treadmills The sub-2 hour run — which was staged in Vienna in 2019 — is unreal but doesn’t count for marathon record purposes. Why? Because the event was optimized for Kipchoge: coaches brought him water and he had pacemakers (including a car laying down a laser beam). The human pacemakers might be my favourite part. They were 41 of the world’s top runners with >50 combined medals at Olympics and World Championships. All knew Kipchoge was the GOAT and chipped in. Kipchoge’s pace was so punishing that the pacemakers swapped in and out at 5-minute intervals. The best part — shown below — is when Kipchoge waves them off at the end and they cheer him on as he goes HAM to the finish line.

Eliud Kipchoge’s 1:59:40 marathon run is truly insane when you break down the numbers: ▫️4:35 per mile pace (the record for one mile is 3:43 and he kept the pace 26x) ▫️OR 2:50 per KM pace (he did it 42x and each kilometre was within 2:48 to 2:52) ▫️The average men’s marathon time for 5km is ~30 mins (Kipchoge’s 5km pace was 14:13 mins, which he did ~8x) ▫️The world record 10km run is 26:11 (Kipchoge’s 5km pace was 28:26 which he did ~4x) ▫️His 100m pace was 17 seconds, which he did 422x ▫️The 21km per hour pace (or 13 miles per hour) isn’t even available on some treadmills The sub-2 hour run — which was staged in Vienna in 2019 — is unreal but doesn’t count for marathon record purposes. Why? Because the event was optimized for Kipchoge: coaches brought him water and he had pacemakers (including a car laying down a laser beam). The human pacemakers might be my favourite part. They were 41 of the world’s top runners with >50 combined medals at Olympics and World Championships. All knew Kipchoge was the GOAT and chipped in. Kipchoge’s pace was so punishing that the pacemakers swapped in and out at 5-minute intervals. The best part — shown below — is when Kipchoge waves them off at the end and they cheer him on as he goes HAM to the finish line.

Trung Phan

3,089,518 просмотров • 3 лет назад

The future of home cleaning just landed in Shenzhen and it is walking right into your living room. 🤖🏠 X Square Robot and officially launched China’s first robot home service, moving embodied AI from the lab to your front door. When you book a cleaning on the app, a professional cleaner now shows up with an X Square robot partner to tag team the house. The human handles the tricky stuff that needs real judgment while the robot takes over repetitive tasks like wiping tables and tidying up surfaces. X Square is using an end to end foundation model which means the robot actually perceives and plans its own moves instead of just following a script. By testing in the messy reality of a real home, they are proving that if a robot can master a living room, it can handle almost any physical space. This pilot is part of a massive push to turn these machines into reliable partners that can actually assist in our daily lives.

The future of home cleaning just landed in Shenzhen and it is walking right into your living room. 🤖🏠 X Square Robot and officially launched China’s first robot home service, moving embodied AI from the lab to your front door. When you book a cleaning on the app, a professional cleaner now shows up with an X Square robot partner to tag team the house. The human handles the tricky stuff that needs real judgment while the robot takes over repetitive tasks like wiping tables and tidying up surfaces. X Square is using an end to end foundation model which means the robot actually perceives and plans its own moves instead of just following a script. By testing in the messy reality of a real home, they are proving that if a robot can master a living room, it can handle almost any physical space. This pilot is part of a massive push to turn these machines into reliable partners that can actually assist in our daily lives.

RoboHub🤖

101,350 просмотров • 6 месяцев назад

Figure 03 just finished an 8-hour work livestream, imperfect, but already good enough to replace a lot of repetitive warehouse labor. 🤖 Brett Adcock put a team of F.03 robots on a factory-style package sorting task for a full shift. The job was simple and brutal: detect the barcode, pick the package, flip it label-side down, place it on the conveyor, repeat. Soft poly bags, rigid boxes, moving belts, messy orientations. That is exactly the kind of boring physical work factories pay humans to do all day. Early in the stream, the system handled 230 packages in 10 minutes. That is roughly 2.6 seconds per item — already in human-speed territory for this narrow workflow. The more important part: it was not one robot pretending to work all day. It was a team of Figure 03 robots keeping the line running. When one robot ran low on battery, it left the station and another robot stepped in. That is the real factory signal: not just autonomy, but shift continuity. F.03 is rated for about 5 hours of runtime, so the 8-hour result depends on fleet orchestration, charging, and handoff. That matters more than a single clean demo. The stream was not perfect. There were pauses, hesitations, missed orientations, and small recovery moments. Good. A perfect short clip hides failure. An 8-hour livestream exposes the parts that actually matter: endurance, recovery, throughput, and whether the robot can stay useful after the novelty wears off. Figure says this was fully autonomous on Helix-02, with zero human intervention. For logistics and manufacturing, that is the threshold worth watching. Not “can it do one impressive task?” Can it keep doing the boring task for an entire shift? Figure is not showing a general human replacement yet. But for structured, repetitive factory work, the gap just got much smaller. The timing is also interesting: Figure says BotQ has already delivered 350+ F.03 units and reached a 1 robot/hour production cadence. And F.04 is now in full design lock, with parts starting to ship. The next test is obvious. 8 hours was the proof of endurance. 24/7 is the proof of labor economics.

Figure 03 just finished an 8-hour work livestream, imperfect, but already good enough to replace a lot of repetitive warehouse labor. 🤖 Brett Adcock put a team of F.03 robots on a factory-style package sorting task for a full shift. The job was simple and brutal: detect the barcode, pick the package, flip it label-side down, place it on the conveyor, repeat. Soft poly bags, rigid boxes, moving belts, messy orientations. That is exactly the kind of boring physical work factories pay humans to do all day. Early in the stream, the system handled 230 packages in 10 minutes. That is roughly 2.6 seconds per item — already in human-speed territory for this narrow workflow. The more important part: it was not one robot pretending to work all day. It was a team of Figure 03 robots keeping the line running. When one robot ran low on battery, it left the station and another robot stepped in. That is the real factory signal: not just autonomy, but shift continuity. F.03 is rated for about 5 hours of runtime, so the 8-hour result depends on fleet orchestration, charging, and handoff. That matters more than a single clean demo. The stream was not perfect. There were pauses, hesitations, missed orientations, and small recovery moments. Good. A perfect short clip hides failure. An 8-hour livestream exposes the parts that actually matter: endurance, recovery, throughput, and whether the robot can stay useful after the novelty wears off. Figure says this was fully autonomous on Helix-02, with zero human intervention. For logistics and manufacturing, that is the threshold worth watching. Not “can it do one impressive task?” Can it keep doing the boring task for an entire shift? Figure is not showing a general human replacement yet. But for structured, repetitive factory work, the gap just got much smaller. The timing is also interesting: Figure says BotQ has already delivered 350+ F.03 units and reached a 1 robot/hour production cadence. And F.04 is now in full design lock, with parts starting to ship. The next test is obvious. 8 hours was the proof of endurance. 24/7 is the proof of labor economics.

RoboHub🤖

16,818 просмотров • 4 месяцев назад

💥 The Future of Postal Services is Here! Last Thursday, October 30, 2025, @NIPOSTNigeria took a bold leap forward, unveiling a new digital postal era that puts citizens first and makes public service simpler, faster, and smarter. 🇳🇬 Under the visionary leadership of President Bola Ahmed Tinubu, GCFR, Bola Ahmed Tinubu and the dynamic guidance of Dr. ‘Bosun Tijani, Dr. 'Bosun Tijani Honourable Minister of Fed. Min. of Comms, Innovation & Digital Economy we’re reimagining postal services for a Nigeria that thrives on innovation and trust. 🌍💫 Through this groundbreaking collaboration, we’re integrating technology and logistics to remove every old frustration: 💳 Paystack : Instant, secure online payment for customs duties. 📦 sendbox_ng : Real-time tracking so you know exactly where your parcel is. 🚚 Messenger.ng : Seamless doorstep delivery, no more post office queues. For the customer, this means: ✅ No hidden charges, you get notified instantly when duties are assessed. ✅ No delays, pay online from anywhere and get your parcel faster. ✅ Full transparency, track your item every step of the way. ✅ More trust, less stress, because government service should work for you. This is more than convenience. It’s about restoring confidence, improving transparency, and delivering renewed hope to every Nigerian. As Postmaster General, I’m proud to lead this transformation, where legacy meets innovation, and public service meets fintech efficiency. @NIPOSTNigeria is evolving, from letters to logistics to a digitally-driven ecosystem that connects Nigeria and empowers its people. 🚀 Together, we’re not just delivering parcels. We’re delivering trust, innovation, and a smarter future. #RenewedHope #NIPOST

💥 The Future of Postal Services is Here! Last Thursday, October 30, 2025, @NIPOSTNigeria took a bold leap forward, unveiling a new digital postal era that puts citizens first and makes public service simpler, faster, and smarter. 🇳🇬 Under the visionary leadership of President Bola Ahmed Tinubu, GCFR, Bola Ahmed Tinubu and the dynamic guidance of Dr. ‘Bosun Tijani, Dr. 'Bosun Tijani Honourable Minister of Fed. Min. of Comms, Innovation & Digital Economy we’re reimagining postal services for a Nigeria that thrives on innovation and trust. 🌍💫 Through this groundbreaking collaboration, we’re integrating technology and logistics to remove every old frustration: 💳 Paystack : Instant, secure online payment for customs duties. 📦 sendbox_ng : Real-time tracking so you know exactly where your parcel is. 🚚 Messenger.ng : Seamless doorstep delivery, no more post office queues. For the customer, this means: ✅ No hidden charges, you get notified instantly when duties are assessed. ✅ No delays, pay online from anywhere and get your parcel faster. ✅ Full transparency, track your item every step of the way. ✅ More trust, less stress, because government service should work for you. This is more than convenience. It’s about restoring confidence, improving transparency, and delivering renewed hope to every Nigerian. As Postmaster General, I’m proud to lead this transformation, where legacy meets innovation, and public service meets fintech efficiency. @NIPOSTNigeria is evolving, from letters to logistics to a digitally-driven ecosystem that connects Nigeria and empowers its people. 🚀 Together, we’re not just delivering parcels. We’re delivering trust, innovation, and a smarter future. #RenewedHope #NIPOST

Tola Odeyemi

147,363 просмотров • 11 месяцев назад

Vietnam cut poverty from 70% to under 2% while the Communist Party stayed in total control. After reunification they ran a fully centralized economy and got famine. In 1986 the Party launched Đổi Mới, broke up the collective farms, and let households keep what they grew. They opened the country to foreign investment and private business. GDP per capita went from under $700 to nearly $4,500 and growth averaged over 6% a year for more than 3 decades. One of the fastest poverty reductions in modern history came from reducing central planning, not expanding it. Commies can prevent starvation simply by not doing commie things. Every poor country that still refuses to do this is choosing the famine.

Vietnam cut poverty from 70% to under 2% while the Communist Party stayed in total control. After reunification they ran a fully centralized economy and got famine. In 1986 the Party launched Đổi Mới, broke up the collective farms, and let households keep what they grew. They opened the country to foreign investment and private business. GDP per capita went from under $700 to nearly $4,500 and growth averaged over 6% a year for more than 3 decades. One of the fastest poverty reductions in modern history came from reducing central planning, not expanding it. Commies can prevent starvation simply by not doing commie things. Every poor country that still refuses to do this is choosing the famine.

Rothmus 🏴

233,445 просмотров • 2 месяцев назад

X Square Robot just closed its Series C at a valuation above RMB 20 billion, about $2.8 billion 🤖 IDG came into this round. The bigger signal is the cap table. HongShan and Xiaomi were already in across earlier rounds, while Meituan, Alibaba, ByteDance, and Xiaomi have each led rounds at different stages. That puts X Square in a rare position for an embodied AI company: top-tier financial capital on one side, and four of China’s biggest tech platforms on the other. This is not just a money story. Meituan, Alibaba, ByteDance, and Xiaomi bring very different strategic assets: real-world scenarios, cloud infrastructure, consumer traffic, supply chains, and hardware ecosystems. The deployment side is already moving: robot home-cleaning services first, then a “Robots Into Homes” program with the first batch entering real households. The model stack is worth watching too. X Square has open-sourced WALL-OSS-0.5 for robot manipulation and WALL-WM for world modeling. WALL-OSS-0.5 showed strong real-robot performance without post-training, while WALL-WM uses event-level prediction to align language, vision, and action around meaningful physical-world events. They are also building a model-driven data pipeline for large-scale collection, cleaning, annotation, quality control, and augmentation. That matters because home robotics dies in the long tail: weird rooms, messy objects, bad lighting, and tasks that never look the same twice. Founded in 2023, X Square is building general-purpose embodied AI robots and foundation models for real-world environments, tying models, robot hardware, high-precision manipulation, data, and deployment into one system.

X Square Robot just closed its Series C at a valuation above RMB 20 billion, about $2.8 billion 🤖 IDG came into this round. The bigger signal is the cap table. HongShan and Xiaomi were already in across earlier rounds, while Meituan, Alibaba, ByteDance, and Xiaomi have each led rounds at different stages. That puts X Square in a rare position for an embodied AI company: top-tier financial capital on one side, and four of China’s biggest tech platforms on the other. This is not just a money story. Meituan, Alibaba, ByteDance, and Xiaomi bring very different strategic assets: real-world scenarios, cloud infrastructure, consumer traffic, supply chains, and hardware ecosystems. The deployment side is already moving: robot home-cleaning services first, then a “Robots Into Homes” program with the first batch entering real households. The model stack is worth watching too. X Square has open-sourced WALL-OSS-0.5 for robot manipulation and WALL-WM for world modeling. WALL-OSS-0.5 showed strong real-robot performance without post-training, while WALL-WM uses event-level prediction to align language, vision, and action around meaningful physical-world events. They are also building a model-driven data pipeline for large-scale collection, cleaning, annotation, quality control, and augmentation. That matters because home robotics dies in the long tail: weird rooms, messy objects, bad lighting, and tasks that never look the same twice. Founded in 2023, X Square is building general-purpose embodied AI robots and foundation models for real-world environments, tying models, robot hardware, high-precision manipulation, data, and deployment into one system.

RoboHub🤖

12,975 просмотров • 3 месяцев назад

Maricopa County Election Supervisor admits that election workers can remotely access the EMS election system from home, with escalated privileges, and remotely verify ballot signatures, with ZERO oversight, which is a massive security breach. They didn't even know who was verifying ballot signatures from places outside the election precincts. Anyone could be accessing the systems and we would never know, On top of this, Maricopa County alone in the 2020 election was found to have over 400,000 failed ballot signatures, which is well over Biden's margin of victory in Arizona of 10,457 votes, flipping the state to Trump. When ballot signature verification election employees were watched on camera, they were just flipping through signatures as fast as the screen could reload, comparing signatures for only 1 to 3 seconds, when it should take around 45 seconds per ballot. How many other states and counties experienced the same issues that got away with this? This is a huge problem and security issue that needs to be fixed.

Maricopa County Election Supervisor admits that election workers can remotely access the EMS election system from home, with escalated privileges, and remotely verify ballot signatures, with ZERO oversight, which is a massive security breach. They didn't even know who was verifying ballot signatures from places outside the election precincts. Anyone could be accessing the systems and we would never know, On top of this, Maricopa County alone in the 2020 election was found to have over 400,000 failed ballot signatures, which is well over Biden's margin of victory in Arizona of 10,457 votes, flipping the state to Trump. When ballot signature verification election employees were watched on camera, they were just flipping through signatures as fast as the screen could reload, comparing signatures for only 1 to 3 seconds, when it should take around 45 seconds per ballot. How many other states and counties experienced the same issues that got away with this? This is a huge problem and security issue that needs to be fixed.

The SCIF

16,422 просмотров • 10 дней назад

Russia's national postal service, "Russian Post" has reached a breaking point. Deliveries are no longer being made or taking 2-3 times longer due to a shortage of employees. People are waiting at least a month for letters and parcels, which are piling up in branches, there's no one to deliver them. According to Russia's Mash outlet, drivers are massively leaving the company, following operators and supervisors. The reasons are the same, long 12-hour shifts + fines + overtime + unlibable salary levels. Boxes are gathering dust in branches for weeks — there's no one to transport them to sorting centers. Vehicles don't go on routes, and deliveries are often canceled or rescheduled. The situation is even worse in regions, after switching to a reduced work schedule, workers' salaries were cut to 11–24k rubles. Nobody wants to work for such money. Employees across Russia are leaving for private companies and marketplaces with salaries two to three times higher.

Russia's national postal service, "Russian Post" has reached a breaking point. Deliveries are no longer being made or taking 2-3 times longer due to a shortage of employees. People are waiting at least a month for letters and parcels, which are piling up in branches, there's no one to deliver them. According to Russia's Mash outlet, drivers are massively leaving the company, following operators and supervisors. The reasons are the same, long 12-hour shifts + fines + overtime + unlibable salary levels. Boxes are gathering dust in branches for weeks — there's no one to transport them to sorting centers. Vehicles don't go on routes, and deliveries are often canceled or rescheduled. The situation is even worse in regions, after switching to a reduced work schedule, workers' salaries were cut to 11–24k rubles. Nobody wants to work for such money. Employees across Russia are leaving for private companies and marketplaces with salaries two to three times higher.

Jay in Kyiv

29,796 просмотров • 7 месяцев назад

TERAFAB: Grimes County, TX - September 5th, 2026 Happy Labor Day! Here is my first flyover of the joint Tesla and SpaceX TERAFAB project in Grimes County, Texas. It was a gorgeous day for a flyover. The scattered showers made for a beautiful backdrop. I took this trip a learning expedition to find spots to fly from and how to get as close as possible. I was able to get some amazing footage. The video is in 4 parts. PART I: EARTHWORKS The first maps show the current land acquisitions by WIT TECH LLC, a Musk-linked / SpaceX-adjacent buyer. Compared to the TERAFAB scale I give you an idea of where the current clearing is taking place on the southeastern side of Gibbons Creek Reservoir. There is also a clearing further east with a substantial lake that will eventually need to be drained. PART II: 348.59 ACRE MILLENNIUM POWER PARCEL This is the tract on the west side of the reservoir, directly south of and next to the Grimes County Substation. SpaceX has said it will use natural-gas generators and Megapacks, so it is not clear what this area will be used for. There was a No Drone Video sign, so I only took photos. PART III: SUBSTATION & INTAKE Far to the west on the Navasota River, WIT TECH LLC acquired two parcels. One is a 3.83-acre plot with an 11,000 gal/min pump station. The second is a 1-acre plot on and over the river that includes an intake and low dam. SpaceX says this will be used to divert stormwater into the reservoir. PART IV: 433.79 ACRE ENERGY PARCEL This site sits northwest of the reservoir, between the old, removed coal plant and the 210 MW Grimes County Solar Farm. Tesla and SpaceX have not said what the site will be used for. As always, there is an X Subscriber photo-thread. So please subscribe take a look and support the flyovers. Referral links are at the end of the thread. Thanks everyone!

TERAFAB: Grimes County, TX - September 5th, 2026 Happy Labor Day! Here is my first flyover of the joint Tesla and SpaceX TERAFAB project in Grimes County, Texas. It was a gorgeous day for a flyover. The scattered showers made for a beautiful backdrop. I took this trip a learning expedition to find spots to fly from and how to get as close as possible. I was able to get some amazing footage. The video is in 4 parts. PART I: EARTHWORKS The first maps show the current land acquisitions by WIT TECH LLC, a Musk-linked / SpaceX-adjacent buyer. Compared to the TERAFAB scale I give you an idea of where the current clearing is taking place on the southeastern side of Gibbons Creek Reservoir. There is also a clearing further east with a substantial lake that will eventually need to be drained. PART II: 348.59 ACRE MILLENNIUM POWER PARCEL This is the tract on the west side of the reservoir, directly south of and next to the Grimes County Substation. SpaceX has said it will use natural-gas generators and Megapacks, so it is not clear what this area will be used for. There was a No Drone Video sign, so I only took photos. PART III: SUBSTATION & INTAKE Far to the west on the Navasota River, WIT TECH LLC acquired two parcels. One is a 3.83-acre plot with an 11,000 gal/min pump station. The second is a 1-acre plot on and over the river that includes an intake and low dam. SpaceX says this will be used to divert stormwater into the reservoir. PART IV: 433.79 ACRE ENERGY PARCEL This site sits northwest of the reservoir, between the old, removed coal plant and the 210 MW Grimes County Solar Farm. Tesla and SpaceX have not said what the site will be used for. As always, there is an X Subscriber photo-thread. So please subscribe take a look and support the flyovers. Referral links are at the end of the thread. Thanks everyone!

S.E. Robinson, Jr.

71,884 просмотров • 27 дней назад

One of the patients that The Sameer Project had supported continuously was little Saadallah who sadly passed away last December from malnourishment. Eight months later, and in more dire times, his only brother is also malnourished. Help us support malnutrition cases: This mother had the pain of losing her baby, and now the stress and fear of seeing her older son suffer from the lack of food. The Sameer Project visited the now family of 3 to provide nutritional support. We gave a vegetable parcel for $114 including 10% bank transfer fees, tuna for $15 per can after 45% cash commission, and red and green nutritional suppliants ranging from $2.5-$12 each. And we will of course be back to supply this family with more as one visit does not help a child get out of the grips of malnutrition caused by a man-made famine. We miss Saadallah and will support his family who are still mourning his loss. Thank you for allowing us to assist through our Medical Campaign. Other ways to donate include: (Paypal option, please make sure to add a message saying "Medical") (Venmo option, please make sure to add a message saying "Medical")

One of the patients that The Sameer Project had supported continuously was little Saadallah who sadly passed away last December from malnourishment. Eight months later, and in more dire times, his only brother is also malnourished. Help us support malnutrition cases: This mother had the pain of losing her baby, and now the stress and fear of seeing her older son suffer from the lack of food. The Sameer Project visited the now family of 3 to provide nutritional support. We gave a vegetable parcel for $114 including 10% bank transfer fees, tuna for $15 per can after 45% cash commission, and red and green nutritional suppliants ranging from $2.5-$12 each. And we will of course be back to supply this family with more as one visit does not help a child get out of the grips of malnutrition caused by a man-made famine. We miss Saadallah and will support his family who are still mourning his loss. Thank you for allowing us to assist through our Medical Campaign. Other ways to donate include: (Paypal option, please make sure to add a message saying "Medical") (Venmo option, please make sure to add a message saying "Medical")

The Sameer Project

25,928 просмотров • 1 год назад