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⚡️ 𝘈𝘭𝘭 𝘛𝘩𝘪𝘯𝘨𝘴 𝘛𝘦𝘤𝘩𝘺 𝘍𝘳𝘦𝘴𝘩 🤖 𝘙𝘖𝘉𝘖𝘛 𝘕𝘌𝘞𝘚 ☞ ➜ IRL headlines from the Robot World. ➜ Delivered by your favourite robotic reporter - Ohbot. 🚨 Robot News is generated with AI, using our GPT block in the Ohbot app.

Ohbot Robot

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15,720 views • 1 year ago •via X (Twitter)

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🤖 Meet the UniX AI Panther: a humanoid robot designed to cook meals, prep food, and make your bed using advanced AI and robotic arms. We’ve officially reached the point where robots are moving into our homes to handle daily chores. The future is here but would you actually feel comfortable sleeping in the same house as one of these things?

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13,783 views • 7 months ago

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.

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RoboHub🤖

101,350 views • 4 months ago

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OpenMind

23,954 views • 3 months ago

Watch: 🤖A robot passes by casually from behind as Mr Ahmed Hefnawy, AI Governance Expert from the Government of Egypt, discusses Egypt looking forward to collaborating with Bharat on AI. 📍at the Regional AI Impact Summit 2025, Odisha, held today. Odisha is the first state in India to have an approved *AI Policy*

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29,028 views • 7 months ago

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14,696 views • 6 days ago

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367,264 views • 1 year ago

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298,226 views • 1 year ago

Wow. This is crazy. A developer trained an AI agent in simulation and deployed it onto a real robotic air hockey table using reinforcement learning. This robot can track the puck with millimeter-level accuracy and react in roughly 20 milliseconds, fast enough to challenge even skilled human players. We’re moving from robots that follow programmed rules to machines that learn strategies in simulation and execute them in the physical world.

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SciTech Era

1,584,468 views • 2 months ago

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JUST IN: Figure has gone from producing 1 humanoid robot per day to 1 per hour, a 24x throughput improvement in under 120 days. This data is from their manufacturing facility BotQ update (link below) Here's what's happening inside BotQ: → Over 350 Figure 03 robots delivered and counting → End-of-line first-pass yield now above 80% and improving weekly → Battery line at 99.3% first-pass yield with 500+ battery packs shipped → Over 9,000 actuators produced across 10+ distinct SKUs → Every robot put through 80+ functional verification tests before sign-off Their Helix AI model can now SEE the environment it's moving through, not just feel it. Stairs, ramps, uneven terrain, navigated zero-shot, trained entirely in simulation, deployed directly to hardware with no real-world fine-tuning. Brett Adcock has been clear about the plan: every robot that rolls off the line is a data-collection engine. The bigger the fleet, the faster the AI improves. The faster the AI improves, the more deployable the robot becomes. This is the flywheel. And it is now spinning. The humanoid robot race just got very serious. VERY INTERESTING. Alright fam, what are your thoughts on Figure? 👀 Link: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

38,067 views • 3 months ago

⚡️MEET THE THIS HEAD-TURNER ROBOT Agile One stole the spotlight at Hannover Messe 2026, assembling mini robots live on the factory floor. Built by Agile Robots, it can work with humans, talk to visitors, and adapt in real time. Physical AI is ready to be your colleague.

⚡️MEET THE THIS HEAD-TURNER ROBOT Agile One stole the spotlight at Hannover Messe 2026, assembling mini robots live on the factory floor. Built by Agile Robots, it can work with humans, talk to visitors, and adapt in real time. Physical AI is ready to be your colleague.

Coin Bureau

12,805 views • 2 months ago

Where the Robots Grow, from AiMation Studios, is one of the first fully AI-animated feature films. It was created by just 9 people in 90 days with lead actor Taylor Clarke-Hill voicing multiple characters using our voice changer and with our AI-generated sound effects bringing the world to life. We spoke with founder Tom Paton about their process and plans for 25 more AI films. Check out the trailer below and hear more from our conversation with Tom Paton here:

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ElevenLabs

48,507 views • 1 year ago

Learning from robot data? Standard. Direct Video-Action Models (DVA) is different: treat robot control as video generation, then translate the generated video into actions. Built by , the system pre-trains causal video models from scratch and can run complex production tasks for hours using only ~10 hours of robot data. • hundreds of frames of visual context • real-time control via causal video prediction More: The team behind it just exited 18 months of stealth with a $450M Series A at a $1.7B valuation. Founded by Jagdeep Singh (ex-QuantumScape) with a Stanford-heavy science team: CSO Eric Ryan Chan (ex-WorldLabs) and Prof. Gordon Wetzstein. Already running in large-scale automotive production environments. Backed by Vinod Khosla Ventures, Temasek, Premji Invest, and John Doerr. Thanks for sharing, Tongzhou Mu 🤖🦾🦿 👋

Learning from robot data? Standard. Direct Video-Action Models (DVA) is different: treat robot control as video generation, then translate the generated video into actions. Built by , the system pre-trains causal video models from scratch and can run complex production tasks for hours using only ~10 hours of robot data. • hundreds of frames of visual context • real-time control via causal video prediction More: The team behind it just exited 18 months of stealth with a $450M Series A at a $1.7B valuation. Founded by Jagdeep Singh (ex-QuantumScape) with a Stanford-heavy science team: CSO Eric Ryan Chan (ex-WorldLabs) and Prof. Gordon Wetzstein. Already running in large-scale automotive production environments. Backed by Vinod Khosla Ventures, Temasek, Premji Invest, and John Doerr. Thanks for sharing, Tongzhou Mu 🤖🦾🦿 👋

Ilir Aliu

26,391 views • 4 months ago

This robot assistant from the NVIDIA CES Keynote on Monday is going viral. Nader Khalil🍊 explains all the hottest emerging AI trends in one demo: AI applications in 2026 will be multi-model, multi-modal, hybrid cloud/local, use open source models as well as proprietary models, control robots and embedded devices in the physical world, and have voice interfaces. (And the demo had a cute robot *and* a cute dog. Gold.) The demo was built with Pipecat AI. NVIDIA posted a really nice technical walk-through and complete code. The Reachy Mini robot from Hugging Face is open source hardware. (You can order it now, I have one!). You can run the assistant locally on your own hardware, in the cloud, or both.

This robot assistant from the NVIDIA CES Keynote on Monday is going viral. Nader Khalil🍊 explains all the hottest emerging AI trends in one demo: AI applications in 2026 will be multi-model, multi-modal, hybrid cloud/local, use open source models as well as proprietary models, control robots and embedded devices in the physical world, and have voice interfaces. (And the demo had a cute robot and a cute dog. Gold.) The demo was built with Pipecat AI. NVIDIA posted a really nice technical walk-through and complete code. The Reachy Mini robot from Hugging Face is open source hardware. (You can order it now, I have one!). You can run the assistant locally on your own hardware, in the cloud, or both.

kwindla

49,010 views • 6 months ago