🤖 A robot that feels touch with its whole body

German Aerospace Center (DLR) engineers have created SARA — a robot that can sense touch across its entire surface — without any external tactile skin or sensors.

How it works:
SARA uses only the force sensors built into its joints plus clever math.
When a person touches the robot’s body, the system calculates where and how strongly it was touched by analyzing subtle mechanical changes in the joints.

What it can do:
✍️ Recognize letters or numbers traced on its body — with 90–95% accuracy
🔘 Create “virtual buttons” anywhere — place a sticky note and the robot will remember that spot
🎚 Adjust settings — swipe across its arm like a slider to change speed or grip strength

Why it matters:
Traditional tactile robots rely on expensive, fragile “electronic skin.”
SARA skips that — turning its entire body into an interactive surface, like a smartphone screen.

Limitations:
Currently it can detect only two simultaneous touches, and sensitivity is lower than dedicated sensors.
But for most human–robot collaboration tasks, this minimalist design is a breakthrough.

#robotics #AI #DLR #innovation #HRI #sensors

Cyberpunk remote work, IRL.

Operators in the Philippines—paid about $250/month—are remotely piloting shelf-stocking robots in Japanese stores.
Today it’s teleoperation; tomorrow it’s training data. The real question: how fast until the robots learn enough to cut humans out of the loop?

#robots #teleoperation #retailtech #AI #futureofwork #science

🚀 Starcloud wants a 4-km, 5-GW GPU data center… in space

NVIDIA-backed startup Starcloud is about to put a data-center-class GPU in orbit: their Starcloud-1 satellite launches in November with an NVIDIA H100 onboard — roughly 100× more GPU compute than any prior space system. The 60-kg, fridge-sized sat is a first step toward orbital GPU clouds.

Why it matters: today, satellites downlink raw data to Earth for processing. With an H100 upstairs, AI runs where data is born — cutting response times from hours to minutes. That’s big for sensors like SAR, which can spit out ~10 GB/s; instead of shipping it all home, the model can filter, segment, and alert in orbit.

Power & cooling: sunlight is (nearly) constant in orbit and space is an “infinite heat sink” via radiators, so no water-hungry chillers. Starcloud’s roadmap sketches a ~5 GW orbital data center fed by solar + radiator panels about 4 km × 4 km. Future birds aim to integrate Blackwell GPUs for up to 10× more performance versus Hopper.

Biz timeline: Crusoe (the “energy-first” cloud) plans to deploy capacity on Starcloud’s platform from 2026–27. Starcloud projects ~10× lower energy cost than Earth data centers long-term. A white paper even models a 40 MW cluster with a ~$8.2M launch cost — if Starship-class launch prices fall to ~$30/kg (a big if).

CEO Philip Johnston’s bet: within 10 years, most new data centers get built in space. Gamers, rejoice — astronauts might finally run DOOM at ultra.

#Starcloud #H100 #Blackwell #OrbitalCompute #SpaceDatacenter #SAR #EdgeAI
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@science

AI-powered parking never looked like this in my head.

A 35-kg Unitree G1 running BAAI’s THOR whole-body control just dragged a 1.4-ton car — ~40× its own weight. It’s a stunt, but it shows how fast balance, traction, and whole-body control are improving. Next stop: factory logistics, recovery, and precision vehicle positioning.

#Unitree #BAAI #THOR #Robotics #AI #Humanoids
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@science

🤖 “Hand-motion farms” are real — and they’re training robot hands.

In parts of India, workers strap a small camera to their forehead and spend hours doing simple, tactile tasks: folding towels, packing boxes, sorting everyday objects.
The POV videos go to U.S. labs, where neural networks study exactly how human fingers grip, pull, twist, and place—so robots can learn to copy the same motions.

Why this matters:
• Dexterity is the bottleneck. Vision models are great, but robots still struggle with cloth, cables, zipper pulls, and irregular objects. Human POV data captures the micro-moves that simulators miss.
• Imitation learning at scale. Hour after hour of clean, labeled hand maneuvers becomes training fuel for policies that generalize to new objects and tasks.
• Societal twist. It’s efficient—and a little dystopian: people meticulously teach the fine motor skills that may one day automate their own work.

Humans teaching their replacements, one folded towel at a time.

#AI #robots #imitationlearning #India #futureofwork

Whether we expect a major nuclear war or not, here is a curious set of U.S. actions in deploying strategic weapons:


First, the White House has consistently withdrawn from long-standing arms reduction and limitation treaties. In 2002—from the ABM Treaty; in 2019—from the INF Treaty; in 2020—from the Open Skies Treaty. A potential U.S. refusal to maintain the moratorium on nuclear testing could thus be a logical next step in Washington’s dismantling of the global strategic stability system.
Second, the U.S. is accelerating the modernization of its strategic offensive weapons. Work is underway on the new Sentinel ICBM with a new nuclear warhead and a range of 13,000 km. Development continues on the Columbia-class strategic nuclear submarine to replace the Ohio-class. The new B-21 Raider heavy bomber is in progress. A nuclear-armed cruise missile is under development, and so on. Plans include reactivating 56 launchers on 14 Ohio-class submarines—note: full reactivation—with complete loading of Trident II ballistic missiles. Preparatory measures are in place to reconvert 30 B-52H strategic bombers back into nuclear weapon carriers.
Third, the Americans have begun implementing the “Golden Dome” program, which envisions both missile defense interception and pre-launch strikes against Russian and Chinese missiles.
Fourth, by the end of this year, the U.S. Army plans to adopt the new Dark Eagle intermediate-range missile system with hypersonic missiles capable of a 5,500 km range. Future deployment is foreseen in Europe and the Asia-Pacific region. Flight time from Germany—where this complex is planned for placement—to targets in central Russia would be about six to seven minutes.
Fifth, Washington regularly conducts exercises of its strategic offensive forces. The latest, Global Thunder 2025—which practiced, I emphasize, preemptive nuclear missile strikes on Russian territory—took place in October of this year.
Overall, this is a unified complex of measures, including potential U.S. plans for nuclear tests, which significantly heighten the military threat level to Russia.

This is Guizhou Province, China — mountains completely covered with solar panels.

The scale is so massive that drones don’t have enough battery to capture the entire mountain range in a single flight. Just endless ridges of photovoltaics stretching to the horizon.

By turning rugged, hard-to-use terrain into energy infrastructure, China is effectively farming millions of kilowatt-hours every month.

Guizhou has become a symbol of China’s renewable strategy:
• use land with low alternative economic value
• build at industrial scale, not pilot projects
• integrate renewables directly into national energy planning

While others debate whether such transitions are realistic, China simply builds them.

The greenest country?
At the very least — the most scalable one.

@science