Vishal

Construction_and_Engineering

Controlling DJI Romo vacuum with a ps5 controller

NVIDIA Robotics just released SONIC (Supersizing Motion Tracking for Natural Humanoid Whole-Body Control), a foundation model for humanoid control trained on 100M+ frames of motion data (700 hours) using 9,000 GPU hours.

Instead of manual reward engineering for each skill, use dense supervision from diverse motion-capture data to acquire human motion priors.

They scaled along three axes: network size (1.2M to 42M parameters), dataset volume (100M+ frames), and compute (9k GPU hours). Performance improves steadily with all three.

VR teleoperation with just three tracking points (head and hands) for upper body plus kinematic planner for lower body. Video teleoperation tracking kung fu and crawling motions in real-time. Text-to-motion commands like "walk backward" or "move like a monkey."  

They connected it to NVIDIA's GR00T N1.5 VLA foundation model, achieving 95% success rate on mobile manipulation tasks. This combines high-level reasoning with fast, reactive whole-body control.

The scaling properties are what matter. Unlike prior humanoid controllers (modest size, limited behaviors, days of training), SONIC shows that bigger models + more data + more compute = better generalist control. Learned representations generalize to unseen motions.

Train one large model on diverse motion data, then interface it with multiple input modalities through a universal token space. 


![](https://m.stacker.news/131040)

Crawling robots are here!

The reflexes are far superior to those of a human.

![](https://m.stacker.news/130933)

Autonomous driving saved a child's life.

Tesla's new Cybercab has received FCC permission to use a long-wave (UWB) charging system for its fully autonomous model.

This is how the charging system works.

![](https://m.stacker.news/130931)

Tesla receives FCC approval to charge Cybercab via UWB.

- 100% Autonomous
- Should cost ONLY $25,000
- Will be available by the end of the year

The idea is that you can buy it and make it available in your spare time, so that it acts as a "taxi driver" for you and generates passive income.

![](https://m.stacker.news/130853)

![](https://m.stacker.news/130855)

![](https://m.stacker.news/130856)

Elon Musk announced his new project: the Cybercab.

Hyundai Glovis faced a problem common to warehouse automation: charging downtime was killing efficiency.

Their fleet of AGVs operated with a 6.75:1 work-to-charge ratio. Every seventh robot was charging at any given moment. 

This meant 15% operational efficiency loss, or the need to purchase 15% extra robots just to compensate for charging downtime.


 solution is wireless power transfer while robots work! 🛜

The Genesis platform uses capacitive charging pads placed in the floor where robots naturally stop during operations, in this case, at picking stations. No docking required, no deviation from routes, no excavation needed.

The test compared two identical setups. 

Section A used three robots with traditional charging (operate until 40% battery, charge to 95%). 

Section B used three robots with CaPow's system, charging at the picking station while operators picked items from bins.

Traditional robots lost 8.3% battery per hour and suffered 33% operational inefficiency (150 minutes downtime out of 447 minutes). CaPowered robots gained 1% battery per hour on average and achieved 100% uptime for the entire 8-hour shift.

The math on a 100-robot fleet is clear. Traditional charging means only 85 robots working at any time. To maintain full throughput, you need to buy 15 extra robots plus 15 extra chargers. 

Those chargers consume valuable warehouse space and add extra downtime as robots travel to and from charging zones.

CaPow eliminates all of it. No extra robots, no chargers taking up floor space, no charging routes, no fleet management complexity.

![](https://m.stacker.news/130466)

Hyundai Glovis achieves 100% robot uptime with wireless charging!

The team consists of alumni from NASA, Google X, and United Airlines who have shipped moonshot-scale autonomy and run ramp operations at major U.S. hubs.

Their product, ARC 1, the world's first fully-mobile baggage manipulator cobot. Vision-guided robots that move bags between belts, carts, ULDs (unit load devices), and containers.

Load and unload operations, automated sortation with tag/barcode read and real-time validation, collaborative motion and e-stops designed for ramp safety rules. 🧳

The value proposition is clear: 3x speed, zero lost or damaged bags, 24/7 nonstop operations, >98% bags transferable.

Benefits for airports is improved D:00 performance (no more delayed flights from late-arriving bags), real-time bag tracking powered by AI (no more lost bags), worker safety (no more strains or stress injuries from manual lifting), flexible deployment that scales up or down with operations.

This is a perfect robotics application. Structured environment, repetitive task, clear success metrics, major pain points (worker injuries, lost bags, flight delays), and willingness to pay for solutions.

![](https://m.stacker.news/130444)

Azalea Robotics automates airport baggage handling!

3D printer built a boat stronger and faster than any human could

Robots navigate through dm-drogerie markt Deutschland stores at night to create a digital replica of the store's layout, known as a "digital twin."

Developed Ubica Robotics GmbH, these autonomous robots scan shelves to provide real-time information about item positions, pricing, stock gaps, and store layouts. 🏪

This data serves multiple purposes, such as improving staff routes, enhancing inventory management, and informing the creation of planograms for more efficient store layouts.

It combines digital twin with robotics and it's really cool use case. 

![](https://m.stacker.news/130381)

When robots take the night shift shopping spree!

The company said the latest software update to its driverless hardware suite will enable its trucks to drive nonstop from Phoenix to Fort Worth. That trip is roughly 1,000 miles long and takes 15 hours to complete. By contrast, a human driver would legally have to take a 30 minute break after 11 hours of driving.

The company currently has five autonomous trucks carrying cargo without safety monitors between Dallas, Houston, Fort Worth and El Paso, Texas. By the end of 2026, the startup expects to have over 200 driverless trucks in operation.

![](https://m.stacker.news/130177)

Aurora’s driverless trucks now run longer than humans can legally

deleted by author

Stacker_Sports

Self-driving car race.

Chinese humanoid robotics company 
LimX Dynamics
  just raised about $200 million in Series B funding as capital continues flowing into embodied robotics.\

The round included Stone Venture, JD, Oriental Fortune Capital, CoStone Capital, Shangqi Capital (backed by SAIC Motor), NIO Capital, Future Capital, and several existing shareholders who increased their stakes.

The funding will advance three core areas: humanoid robot hardware design and manufacturing, motion-control foundation models, and a proprietary agentic operating system designed for physical-world operation. 

LimX is positioning this full-stack approach as a way to improve reliability and reduce the cost and complexity of deploying robots outside controlled environments.

LimX recently introduced two products aimed at real-world validation. TRON 2 is a modular robotic platform that can be reconfigured across multiple physical forms, allowing developers and enterprise users to adapt a single system to different tasks without redesigning hardware. 

The company also unveiled COSA, its in-house operating system that coordinates perception, planning, and whole-body motion control. 

The full-stack strategy is smart. When you control the hardware, the motion control models, and the operating system, you can optimize the entire stack for performance and reliability. 

![](https://m.stacker.news/129382)

LimX Dynamics raises $200M Series B for humanoid robots!

This robot from KUKA performs an incredibly technology-heavy process. 

It assembles the seats in the car.

And it's so hard? Well, when the car moves along with the production line, things get more complicated.

The robot also moves on a special additional axis, so it synchronizes with the production line.

The gripper (EOAT) must is also impressive. Love watching the OG robotics applications.

![](https://m.stacker.news/128558)

Seat assembling robots!

Robbyant just released LingBot-VA, a robot control system that predicts what the world will look like after taking those actions, then checks if reality matches its prediction.

The approach works in three steps: predict future video frames based on current observations and language instructions, decode actions from the predicted video, then replace predictions with real observations after execution.

This creates a closed-loop where the robot continuously grounds itself in reality.

LingBot-VA excels across diverse tasks: long-horizon manipulation (make breakfast, unpack delivery), precision control (insert tubes, pick screws), and deformable objects (fold clothes, open drawer). Results on RoboTwin 2.0 and LIBERO benchmarks show consistent improvements over state-of-the-art methods.

What makes this powerful is long-term memory. Traditional models only see the current observation and get confused by repeated states. 

For example, if a robot needs to open the right box, close it, then open the left box, a memoryless model sees the closed right box twice and gets stuck in loops. LingBot-VA remembers the full sequence and completes the task correctly.

![](https://m.stacker.news/128430)

Video world models for robot control! 🎬

SpaceX is requesting authorization to launch and operate a constellation of 1 million satellites with unprecedented computing capacity (orbital data centers) to power advanced AI systems, according to a new document filed with the FCC. 🚀🚀🚀

SpaceX: “Launching one million satellites that function as orbital data centers is the first step toward becoming a Kardashev II-level civilization—capable of harnessing all the energy of the Sun—while supporting AI applications used by billions of people today and ensuring humanity’s multiplanetary future among the stars.”

In the SpaceX document:
• SpaceX intends to deploy a system with up to one million satellites, operating in narrow orbital shells of up to 50 km each (leaving enough space to avoid conflicts with other systems with similar ambitions).

•The system will operate between 500 km and 2,000 km altitude, with orbital inclinations of 30 degrees and a sun-synchronous orbit.
•SpaceX plans to design and operate different versions of the satellite hardware, optimized for each orbital shell.

•The system will rely almost exclusively on high-bandwidth optical links for communication. These optical links will route it within the network and with satellites in the Starlink constellation, using its high-capacity (petabit) and high-reliability laser mesh, which in turn will transmit the traffic to authorized ground stations.


SpaceX added:
“With Starship’s ability to deliver unprecedented tonnage into orbit for AI computing, intelligence processing in space could surpass the electricity consumption of the entire U.S. economy — without the immense cost and enormous disruption of rebuilding the already overburdened terrestrial power grid to meet the explosion in demand for data centers. Thus, satellites functioning as solar-powered orbital data centers are the most economical, efficient, and environmentally responsible way to build the infrastructure needed to meet the growing demand for AI-enabled goods and services.”

“With the inherent efficiency of solar data centers in orbit and the rapidly falling launch costs thanks to the development of Starship, SpaceX will be able to scale its constellation in an economically viable way as demand increases and computing capacity evolves. For example, launching 1 million tons per year of satellites generating 100 kW of computing power per ton would add 100 gigawatts of AI capacity annually, with minimal operation or maintenance needs.”

![](https://m.stacker.news/128297)

SpaceX proposes orbital data centers to scale AI beyond Earth.

Stacker_Stocks

Another European robotics company steals the show.

RobCo, a Munich-based robotics company, just raised $100 million in Series C funding co-led by Lightspeed and Lingotto Innovation (an Exor investment company), with participation from Sequoia Capital, Greenfield Partners, Kindred Capital VC, Leitmotif, and The Friedkin Group.

The funding will advance RobCo's physical AI roadmap, expand enterprise deployments, and deepen the company's presence in the U.S. market. RobCo expanded into the United States in 2025 and now operates in San Francisco and Austin. 🇺🇸

Founded in 2020, RobCo enables increasingly autonomous robot operations inside real production environments through Physical AI. By combining perception, motion planning, and self-learning methods, the platform reduces friction between today's processes and end-to-end automation. Teams can focus less on setting up and maintaining systems and more on their core business.

What makes RobCo different is the full-stack approach. The company has been vertically integrated from day one, developing hardware and software as a single platform. 

Their robots can acquire task-specific skills through demonstration and self-learning rather than manual programming. This enables faster deployment, rapid iteration, and easier adaptation to complex or variable processes.

I can confirm that because I had a chance to visit their HQ couple of times, and it was always an awesome experience in the heart of Munich! 

RobCo's robots are deployed across a range of industrial environments. The U.S. has become both a strategic priority and a major growth market.

![](https://m.stacker.news/128001)

Read more here: https://finance.yahoo.com/news/robco-raises-100-million-scale-130000452.html

RobCo raises $100M Series C to build scalable robotics!

Brain-computer interfaces (BCI) & Robotics lack large-scale datasets. 

Fourier Robots is developing BCI-driven robotic rehabilitation training. 

Imagine a stroke patient thinks of moving a hand, and the robot detects the intent to guide the motion.

![](https://m.stacker.news/127992)

BCI + Robotics: Training movements directly from the brain.

Micro-dispensing at the picoliter scale is incredible when you compare it to everyday numbers: a single raindrop is about 50 microliters, roughly 50 million times larger than a picoliter.  

Being able to place droplets this small without touching the surface is key for biotech, diagnostics, and micro-electronics, where tiny volumes matter.  

And at this scale, two basics become critical: 
→ Accuracy = how close you are to the real value. 
→ Precision = how repeatable each droplet is.  

I could watch it all day long!

![](https://m.stacker.news/127890)

The absurd engineering of picoliters.

A robot that looks like a hamster ball and can fly over obstacles on its own.

Revolute Robotics created a machine called the Hybrid Mobility Robot. I had a chance to meet their team in Boston earlier this year.

Two special rings allow this robot to roll in any direction and whirl like a helicopter.

A lightweight exoskeleton absorbs shock during landing and prevents vibrations from damaging electronics. Typically, the HMR rolls on the ground, but can also fly to overcome obstacles or climb steep inclines.

This robot can go places that humans might not be able to reach, including confined spaces, performing security tasks, and even performing search and rescue missions.

![](https://m.stacker.news/127751)

Hamster-powered robot!

This is a fully autonomous tractor from Dutch company AgXeed, designed to work on fields without any human supervision. 

It's powered by a diesel engine that drives a generator, which then powers electric motors driving the tracks. The fuel tank allows for 24 hours of continuous operation. (nice!)

The rear hitch has an 8-ton lift capacity, the front has 3 tons. It's equipped with electric PTO, hydraulic pump, and all the connections you'd find on a traditional tractor, meaning you can attach standard farm implements.

Safety and navigation are handled by a LiDAR sensor on top, ultrasonic and radar sensors, and contact-sensitive bumpers. RTK GNSS receiver provides positioning accuracy down to 2.5 cm, with a module for bidirectional data transmission and RTK correction.

Love seeing that so many companies are trying to make farmer's life easier! 🚜

![](https://m.stacker.news/127724)