The world’s LARGEST Tesla Supercharger is now fully operational in Lost Hills, CA!

• 164 Stalls
• 16 Pull-Thru Stalls
• 11 MW Solar Capacity
• 10 Megapacks (39 MWh)
• Open to ALL EVs!

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Neuralink helps monkey play ping-pong

The Neuralink project, which involved implanting a device into the brain to control external gadgets, has shown promising results.

A 9-year-old monkey named Pager learned to play ping-pong just a few weeks after the operation. This suggests that Neuralink could simplify device interaction and enable people with paralysis to interact with the world.

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GigaAI unveiled its first wheeled humanoid robot: Maker H01.

While the video showcases its potential for home use, this 88 kg robot may have even earlier applications in industrial manufacturing and warehousing, as well as commercial services, such as Huawei's hardware manufacturing plants, companies within Huawei's automotive ecosystem, and Huawei consumer electronics stores.

Working height of 0-2 meters, a 4 hour battery life, speed of 1.5 m/s, and amaximum single-arm load of 5 kg.

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A robot balancing a full glass with flawless stabilization.

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🤖 A robotic arm shaping purple designs underwater with liquid 3D printing.

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A robot vacuum cleaning up a huge spill in second

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🚁 Spectacular 5,000 drone light show of Baby Jesus.

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🤖 China just turned the humble lawn mower into a full-fledged robotic caretaker

At IFA, Dreame unveiled the NexLawn Master X, a smart outdoor assistant that does far more than cut grass.

• It can play with your dog by tossing a ball.
• It carefully collects fruits and vegetables from your garden.
• Its robotic arm tidies up the yard and works with multiple attachments, including a circular saw for trimming branches.
• Essentially, it’s no longer just a mower, it’s a versatile outdoor home assistant.

The NexLawn Master X is expected to hit the market next year, though pricing has not yet been announced.

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PHYBOT M1 is the first full-size electric humanoid to pull off a human-like backflip.

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The ABB IRB robot in concrete printing acts as a precise, programmable nozzle, depositing concrete layer by layer according to the design in an automated way.

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🦾The next step in human robot integration: an extra thumb you didn’t know you needed.

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From the creators of the chastity belt, Japan now has a bra with Touch ID

This cyber-bra unhooks only with a fingerprint. The creator has been working on his invention for years. He says the new version of this anti-cheating device is much more compact and comfortable than the previous ones.

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💥 Meta published their UI/UX prototyping process for the Meta Ray-Ban Display!

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Teslas’s Robovan looks pretty cool.

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A new era of firefighting

Drones putting out towering building fires.

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🔥 China’s humanoid robots are leveling up

An AgiBot Lingxi X2 robot pulled off a silky-smooth dance to a Chinese pop hit in Guangzhou, China. From tech to rhythm, innovation meets fun.

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Triangle robots building structures bigger than themselves with ease.

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Elon Musk says working will be 'optional' in less than 20 years because of AI and robotics.

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Checked out the Sanitation Robot Competition in Shenzhen last week.

It was amazing to see so many types of cleaning robots for streets and roads, a perfect use case for service robots.

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Multi-robot learning is getting a serious boost! 📚

Researchers have extended Isaac Lab to train heterogeneous multi-agent robotic policies at scale. The new framework supports high-resolution physics, GPU-accelerated simulation, and both homogeneous and heterogeneous agents working together on coordination tasks.

They benchmarked different approaches (MAPPO: Multi-Agent Proximal Policy Optimization and HAPPO: Heterogeneous Agent PPO) across six challenging scenarios and showed that large-scale multi-robot training is not only feasible, but efficient. It’s an important step for real-world robotic collaboration, where teams of robots need to coordinate, split tasks, adapt roles, and interact dynamically, not just operate as identical clones.

The code is open-source, and it pushes Isaac Lab closer to what robotics actually needs: scalable, physics-driven environments where many different robots can learn to work together.

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