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Open-sourcing three repos from our CoRL paper LocoTouch ( 1. Perceptive Learning in IsaacLab ( 2. Policy Deployment (MoCap or onboard sensors) ( 3. Mac Mini for Onboard Robotics ( Yuxiang Yang and I have used the compact Mac Mini and stable deployment pipeline across several legged robot projects (

Changyi Lin

1,010 subscribers

20,087 次观看 • 1 年前 •via X (Twitter)

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Xiatao Sun 的头像

Xiatao Sun1 年前

Amazing work and thank you for open-sourcing everything! The Mac Mini deployment pipeline looks incredibly practical for on-board inference, especially given that we can leverage the unified memory for loading large policies.

Madison Vuong 的头像

Madison Vuong1 年前

Great contribution to open source, and as a layman it's really exciting to see how tactile sensing can improve robotics.

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After mapping locations using phones (1-3 hours for convenience stores, 1-2 days for larger supermarkets), you can bring robot deployment time from 4-6 weeks down to under a minute. That's why the real world web will onboard the next 100 billion robots and AI.

After mapping locations using phones (1-3 hours for convenience stores, 1-2 days for larger supermarkets), you can bring robot deployment time from 4-6 weeks down to under a minute. That's why the real world web will onboard the next 100 billion robots and AI.

Auki

15,515 次观看 • 7 个月前

We're asking for your help to spread the joy. ✨ The proceeds from the gifts will be used to support help alliance projects across several countries. Where: Munich Airport Christmas and Winter Market, MAC between Terminal 1 and Terminal 2 When: December 2nd – January 7th 2024

We're asking for your help to spread the joy. ✨ The proceeds from the gifts will be used to support help alliance projects across several countries. Where: Munich Airport Christmas and Winter Market, MAC between Terminal 1 and Terminal 2 When: December 2nd – January 7th 2024

Lufthansa

16,912 次观看 • 2 年前

A 23-year-old runs 3 businesses from a $550 Mac mini and his phone: no team, no office, no employees. He used to pay $15,000/month for a dev team of 5 people. What's running on that mac mini: > 38 specialized agents doing what 5 juniors used to do > 156 skills that fire automatically > One security scanner watching everything 24/7 > A system that learns his coding style over time Claude now writes in his voice automatically and formats outputs his way. The mac mini runs overnight, he checks the results on his phone in the morning. Three businesses, one machine, $20/month, not $15k.

A 23-year-old runs 3 businesses from a $550 Mac mini and his phone: no team, no office, no employees. He used to pay $15,000/month for a dev team of 5 people. What's running on that mac mini: > 38 specialized agents doing what 5 juniors used to do > 156 skills that fire automatically > One security scanner watching everything 24/7 > A system that learns his coding style over time Claude now writes in his voice automatically and formats outputs his way. The mac mini runs overnight, he checks the results on his phone in the morning. Three businesses, one machine, $20/month, not $15k.

Defileo🔮

87,090 次观看 • 5 个月前

Acasis 8-in-1 40Gbps dock turns a Mac Mini into a 2,765 MB/s workstation with one 2TB SSD slot. Hands open the silver case. A Samsung 990 Pro 2TB drops into the single M.2 bay. Lid screws down. The Mac Mini slides in from the side. Two USB4 ports. Three 10Gbps USB-A. HDMI. DisplayPort. SD 4.0. TF 4.0. Power Delivery. Blackmagic Disk Speed Test hits 2,765 MB/s write and 2,812 MB/s read. Every ProRes and H.265 checkbox turns green. Card slots appear as separate drives. 2.45 GB copies in about 4 seconds. Infrared thermometer reads 27.3°C under load. The dock sits on the desk with three monitors running and the original Mac Mini case still closed.

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HodlReaper

13,316 次观看 • 1 个月前

Acasis 8-in-1 40Gbps dock turns a Mac Mini into a 2,910 MB/s workstation with one 4TB SSD slot. Hands open the silver case. A Samsung 990 Pro 4TB drops into the single M.2 bay. Lid screws down. The Mac Mini slides in from the side. Two USB4 ports. Three 10Gbps USB-A. HDMI. DisplayPort. SD 4.0. TF 4.0. Power Delivery. Blackmagic Disk Speed Test hits 2,910 MB/s write and 2,945 MB/s read. Every ProRes and H.265 checkbox turns green. Card slots appear as separate drives. 3.82 GB copies in about 5 seconds. Infrared thermometer reads 25.8°C under load. The dock sits on the desk with three monitors running and the original Mac Mini case still closed.

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HodlReaper

16,198 次观看 • 1 个月前

Video on how to set up a pre release #Toccata $KAS node for Mac users. It is so simple to do we should have 10,000 nodes running… IzioDev -Download the software for Mac at the link in Michael’s tweet -Open the folder. Copy the file path for Kaspad -Paste it in a terminal window, press space, then type “- - utxoindex” (no space between the two dashes). -Press enter and let it run. Use a mini pc or something without a display that can run 24/7. I am using an M1 Mac Mini.

Video on how to set up a pre release #Toccata $KAS node for Mac users. It is so simple to do we should have 10,000 nodes running… IzioDev -Download the software for Mac at the link in Michael’s tweet -Open the folder. Copy the file path for Kaspad -Paste it in a terminal window, press space, then type “- - utxoindex” (no space between the two dashes). -Press enter and let it run. Use a mini pc or something without a display that can run 24/7. I am using an M1 Mac Mini.

₿RT 𐤊 🐈📈

12,904 次观看 • 3 个月前

HAO WANG BUILT AN AI SERVER FARM OUT OF 100 MAC MINIS. ONE $599 BOX KILLS A $200/MONTH CLAUDE CODE BILL FOR $3 IN ELECTRICITY a developer posted his $170 claude code bill from 10 days on reddit. someone replied "i bought a mac mini m4. haven't paid anthropic since" the m4 chip has 120 gb/s memory bandwidth and unified memory. a $599 mac mini runs ai faster than a $1,500 windows pc with a discrete gpu ollama now supports the anthropic messages api. claude code connects to your local mac mini with one environment variable. zero api costs, same interface a heavy developer pays $459 a month across claude code, chatgpt pro, gemini, cursor and copilot. the mac mini pays off in 3 months and runs on $3 after that uber rolled out claude code to 5,000 engineers and burned $3.4 billion in 4 months. the people who own the hardware in 2026 will look very far ahead in 2028 bookmark this and read the article below

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starmex

50,756 次观看 • 3 个月前

Excited to introduce COLA: Learning Human–Humanoid Coordination for Collaborative Object Carrying 🤝🤖 COLA makes humanoids truly helpful in human collaboration — capable of carrying objects, pushing carts, or responding to human push commands. It provides a proprioception-only policy for compliant human–humanoid coordination across diverse movement patterns. The core idea is simple yet effective: 👉 Fine-tune a collaborative policy from a locomotion policy using a residual teacher. 👉 Train in simulation and distill to a real-world student policy for deployment. Paper: Project:

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Siyuan Huang

22,019 次观看 • 11 个月前

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X Square Robot

1,342,798 次观看 • 18 天前

Deployment is only the first step. You need to learn from it and take the next steps toward positive ROI. Our journey: Step 1. Nine month ago, our robot already assembled a complex real product for our customer, from start to finish. But it wasn’t reliable. Step 2. Our robot performed a complex benchmark task reliably 100 times in a row. Step 3. (Completing) Our robot assembling a complex real product from start to finish 100+ times in a row.

Deployment is only the first step. You need to learn from it and take the next steps toward positive ROI. Our journey: Step 1. Nine month ago, our robot already assembled a complex real product for our customer, from start to finish. But it wasn’t reliable. Step 2. Our robot performed a complex benchmark task reliably 100 times in a row. Step 3. (Completing) Our robot assembling a complex real product from start to finish 100+ times in a row.

Igor Kulakov (MicroFactory)

11,428 次观看 • 1 个月前

Historically, RL policies for robots have been trained in synthetic, untextured environments, limiting perceptive policies to depth images where the sim-to-real gap is manageable. RGB has always had more potential, but leveraging it to train policies in simulation remained an open problem. Partnering with Niantic Spatial 🌎 and NVIDIA Robotics, we built a pipeline that addresses exactly that. We can now scan a real deployment site with off-the-shelf hardware, reconstruct it into a photorealistic Gaussian splat, and run massively parallel RL training. The policies trained in our Gym environment then transfer zero-shot to the real robot and environments they were trained for. This enables faster deployment of more capable and robust policies for the end user. The new resulting capabilities are a big step towards solving sim-to-real and also apply well beyond navigation. Read the full technical breakdown on our blog; link in the comments. #HumanoidRobots #Flexion #NianticSpatial #NVIDIA

Historically, RL policies for robots have been trained in synthetic, untextured environments, limiting perceptive policies to depth images where the sim-to-real gap is manageable. RGB has always had more potential, but leveraging it to train policies in simulation remained an open problem. Partnering with Niantic Spatial 🌎 and NVIDIA Robotics, we built a pipeline that addresses exactly that. We can now scan a real deployment site with off-the-shelf hardware, reconstruct it into a photorealistic Gaussian splat, and run massively parallel RL training. The policies trained in our Gym environment then transfer zero-shot to the real robot and environments they were trained for. This enables faster deployment of more capable and robust policies for the end user. The new resulting capabilities are a big step towards solving sim-to-real and also apply well beyond navigation. Read the full technical breakdown on our blog; link in the comments. #HumanoidRobots #Flexion #NianticSpatial #NVIDIA

Flexion

72,719 次观看 • 2 个月前

THE $599 MAC MINI GETS A $49 DOCK AND TURNS FROM A DESK COMPUTER INTO A TINY 24/7 AI WORKFLOW SERVER 00:19 he clips the dock onto the back of the mac mini, adds extra ports, ethernet, storage and turns one small silver box into a workflow hub that can stay online for 700+ hours a month a base mac mini can sit online all day, pulling light power while scripts watch folders, move files, process notes and keep boring workflows running in the background paired with claude, it becomes a small home automation box: 2-hour lectures get transcribed, 30-page articles get summarized, reports get drafted, and research gets cleaned before you even open the laptop the difference is the loop. trigger, process, verify, save, repeat. the same workflow that costs $40-100/month across cloud tools can run locally from one machine on your desk that is why this tiny upgrade matters. the dock is cheap, but it gives the mac mini enough expansion to act like a quiet server instead of another computer waiting for you to use it bookmark this before your desk setup realizes it became infrastructure.

THE $599 MAC MINI GETS A $49 DOCK AND TURNS FROM A DESK COMPUTER INTO A TINY 24/7 AI WORKFLOW SERVER 00:19 he clips the dock onto the back of the mac mini, adds extra ports, ethernet, storage and turns one small silver box into a workflow hub that can stay online for 700+ hours a month a base mac mini can sit online all day, pulling light power while scripts watch folders, move files, process notes and keep boring workflows running in the background paired with claude, it becomes a small home automation box: 2-hour lectures get transcribed, 30-page articles get summarized, reports get drafted, and research gets cleaned before you even open the laptop the difference is the loop. trigger, process, verify, save, repeat. the same workflow that costs $40-100/month across cloud tools can run locally from one machine on your desk that is why this tiny upgrade matters. the dock is cheap, but it gives the mac mini enough expansion to act like a quiet server instead of another computer waiting for you to use it bookmark this before your desk setup realizes it became infrastructure.

Gipp 🦅

73,740 次观看 • 2 个月前

Reachy Mini just got a new Brain! We released a fully open-source backend for talking to Reachy Mini. In the last 48 hours, 3,000+ robots have already hit the version deployed on Hugging Face's infra. Until today, if you wanted a real-time voice agent in your robot, you were looking at $20+ a day. Realtime APIs are expensive because every second the connection is up, you are being charged! But with our approach, you can run the audio models locally and use your OpenAI or Claude subscription for the LLM, at no extra costs. The audio pipeline is very efficient; in the video, it's running on the cheapest Mac mini, 16GB of RAM (the one that sold out a couple of months back when people were buying them up for openclaws setups). Tutorials coming in the next few weeks: how to run your robot fully locally, or with your favorite agent. Stay tuned!

Reachy Mini just got a new Brain! We released a fully open-source backend for talking to Reachy Mini. In the last 48 hours, 3,000+ robots have already hit the version deployed on Hugging Face's infra. Until today, if you wanted a real-time voice agent in your robot, you were looking at $20+ a day. Realtime APIs are expensive because every second the connection is up, you are being charged! But with our approach, you can run the audio models locally and use your OpenAI or Claude subscription for the LLM, at no extra costs. The audio pipeline is very efficient; in the video, it's running on the cheapest Mac mini, 16GB of RAM (the one that sold out a couple of months back when people were buying them up for openclaws setups). Tutorials coming in the next few weeks: how to run your robot fully locally, or with your favorite agent. Stay tuned!

Andi Marafioti

56,158 次观看 • 4 个月前

"President Bola Ahmed Tinubu's administration is implementing Nigeria's first comprehensive, data-driven national electrification plan, designed to provide electricity access to 17.5 million Nigerians through renewable energy solutions under the Distributed Access through Renewable Energy Scale-up (DARES) programme." - REA Boss, Abba Aliyu Update: - The Tinubu administration is implementing the Distributed Access through Renewable Energy Scale-up (DARES) programme, Nigeria's first structured nationwide electrification initiative targeting underserved communities. - The programme aims to provide electricity access to 17.5 million Nigerians through renewable energy solutions. - The initiative includes the deployment of 1,350 solar mini-grids, including 250 interconnected mini-grids. - Nigeria has now deployed over 1,000 mini-grids nationwide, marking the largest rollout of renewable energy mini-grids in the country's history. - Mini-grid projects are currently being implemented across multiple states, including Plateau, Adamawa, Kano, Anambra, the FCT, Kogi, Oyo, Lagos, Ondo, Bayelsa, Ebonyi, Yobe, and others. - In Plateau State, the REA recently performed the groundbreaking for 1.5 megawatts of mini-grid projects. - In Adamawa State, three interconnected mini-grids are being deployed to serve communities including Pufore and Saminaka. - In Anambra State, the REA is developing an 8.5-megawatt interconnected mini-grid for Oko Community. - In Kano State, the agency is deploying 10 megawatts of interconnected mini-grids across Bichi, Tarauni Civic Centre, Singer Market, and Dawakin Kudu. - In the Federal Capital Territory, close to 30 megawatts of interconnected mini-grids are being developed to serve Gwagwa I, Gwagwa II, Pegi, Dei-Dei, and Orozo. - Additional interconnected mini-grid projects are ongoing in Dekina, Anyigba I, Anyigba II, and Olamaboro in Kogi State, as well as communities in Oyo State. - The DARES programme is expected to be completed by the end of 2027, ahead of its original implementation timeline. - As part of implementation planning, the REA has digitally mapped more than 700,000 communities across Nigeria.

"President Bola Ahmed Tinubu's administration is implementing Nigeria's first comprehensive, data-driven national electrification plan, designed to provide electricity access to 17.5 million Nigerians through renewable energy solutions under the Distributed Access through Renewable Energy Scale-up (DARES) programme." - REA Boss, Abba Aliyu Update: - The Tinubu administration is implementing the Distributed Access through Renewable Energy Scale-up (DARES) programme, Nigeria's first structured nationwide electrification initiative targeting underserved communities. - The programme aims to provide electricity access to 17.5 million Nigerians through renewable energy solutions. - The initiative includes the deployment of 1,350 solar mini-grids, including 250 interconnected mini-grids. - Nigeria has now deployed over 1,000 mini-grids nationwide, marking the largest rollout of renewable energy mini-grids in the country's history. - Mini-grid projects are currently being implemented across multiple states, including Plateau, Adamawa, Kano, Anambra, the FCT, Kogi, Oyo, Lagos, Ondo, Bayelsa, Ebonyi, Yobe, and others. - In Plateau State, the REA recently performed the groundbreaking for 1.5 megawatts of mini-grid projects. - In Adamawa State, three interconnected mini-grids are being deployed to serve communities including Pufore and Saminaka. - In Anambra State, the REA is developing an 8.5-megawatt interconnected mini-grid for Oko Community. - In Kano State, the agency is deploying 10 megawatts of interconnected mini-grids across Bichi, Tarauni Civic Centre, Singer Market, and Dawakin Kudu. - In the Federal Capital Territory, close to 30 megawatts of interconnected mini-grids are being developed to serve Gwagwa I, Gwagwa II, Pegi, Dei-Dei, and Orozo. - Additional interconnected mini-grid projects are ongoing in Dekina, Anyigba I, Anyigba II, and Olamaboro in Kogi State, as well as communities in Oyo State. - The DARES programme is expected to be completed by the end of 2027, ahead of its original implementation timeline. - As part of implementation planning, the REA has digitally mapped more than 700,000 communities across Nigeria.

Daddy D.O🇳🇬

25,631 次观看 • 1 个月前

𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂 𝗰𝗼𝘂𝗹𝗱 𝗴𝗼 𝗳𝗿𝗼𝗺 𝘁𝗲𝗹𝗲𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗮 𝗿𝗼𝗯𝗼𝘁 𝘁𝗼 𝗱𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗮 𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗔𝗜 𝗽𝗼𝗹𝗶𝗰𝘆 𝗶𝗻 𝗹𝗲𝘀𝘀 𝘁𝗶𝗺𝗲 𝘁𝗵𝗮𝗻 𝗶𝘁 𝘁𝗮𝗸𝗲𝘀 𝘁𝗼 𝘄𝗮𝘁𝗰𝗵 𝗮 𝗺𝗼𝘃𝗶𝗲? Today, we're excited to open source our complete example showing exactly that: using Neuracore with the Piper robot from AgileX Robotics. What’s included: • 𝗠𝗲𝘁𝗮 𝗤𝘂𝗲𝘀𝘁 𝘁𝗲𝗹𝗲𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 – Control your robot with VR • 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 – Demo collection to model training to policy deployment • 𝗥𝗢𝗦 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗲𝗿 – See your headset data with a single command • 𝗢𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 𝗠𝗲𝘁𝗮 𝗤𝘂𝗲𝘀𝘁 𝘁𝗲𝗹𝗲𝗼𝗽 𝗽𝗮𝗰𝗸𝗮𝗴𝗲 – Works with any ROS-enabled robot If you have a Piper robot, grab the example, sign up for Neuracore, and show us what you build. Repo: Learn more: Open Robotics Meta Quest

𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂 𝗰𝗼𝘂𝗹𝗱 𝗴𝗼 𝗳𝗿𝗼𝗺 𝘁𝗲𝗹𝗲𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗮 𝗿𝗼𝗯𝗼𝘁 𝘁𝗼 𝗱𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗮 𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗔𝗜 𝗽𝗼𝗹𝗶𝗰𝘆 𝗶𝗻 𝗹𝗲𝘀𝘀 𝘁𝗶𝗺𝗲 𝘁𝗵𝗮𝗻 𝗶𝘁 𝘁𝗮𝗸𝗲𝘀 𝘁𝗼 𝘄𝗮𝘁𝗰𝗵 𝗮 𝗺𝗼𝘃𝗶𝗲? Today, we're excited to open source our complete example showing exactly that: using Neuracore with the Piper robot from AgileX Robotics. What’s included: • 𝗠𝗲𝘁𝗮 𝗤𝘂𝗲𝘀𝘁 𝘁𝗲𝗹𝗲𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 – Control your robot with VR • 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 – Demo collection to model training to policy deployment • 𝗥𝗢𝗦 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗲𝗿 – See your headset data with a single command • 𝗢𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 𝗠𝗲𝘁𝗮 𝗤𝘂𝗲𝘀𝘁 𝘁𝗲𝗹𝗲𝗼𝗽 𝗽𝗮𝗰𝗸𝗮𝗴𝗲 – Works with any ROS-enabled robot If you have a Piper robot, grab the example, sign up for Neuracore, and show us what you build. Repo: Learn more: Open Robotics Meta Quest

Neuracore

21,894 次观看 • 8 个月前

This is what open robotics actually looks like! 🔓 I was in Bordeaux, sitting inside Pollen Robotics, and had a chance to play around with their humanoid robot Reachy 2. It’s expressive, modular, and can even bring you coffee, and of course runs Python or Rust. I was talking with Reachy in 3 different languages, tele-operating it and manipulating kitchen stuff, and make it even mimic my gestures. The best part is that there are no locked APIs, or hidden stuff, just an open platform that you can build upon. The connection with Hugging Face makes it super easy to start, as the open source approach allows everyone to contribute, experiment and add their own things. I already ordered his little brother Reachy Mini, let's see what a robotics rookie can do with that robot! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

This is what open robotics actually looks like! 🔓 I was in Bordeaux, sitting inside Pollen Robotics, and had a chance to play around with their humanoid robot Reachy 2. It’s expressive, modular, and can even bring you coffee, and of course runs Python or Rust. I was talking with Reachy in 3 different languages, tele-operating it and manipulating kitchen stuff, and make it even mimic my gestures. The best part is that there are no locked APIs, or hidden stuff, just an open platform that you can build upon. The connection with Hugging Face makes it super easy to start, as the open source approach allows everyone to contribute, experiment and add their own things. I already ordered his little brother Reachy Mini, let's see what a robotics rookie can do with that robot! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

19,433 次观看 • 8 个月前

🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. 🇨🇳 Learn more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. 🇨🇳 Learn more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

40,583 次观看 • 5 个月前

The first open-source unified world model for scalable robot manipulation: 5B-parameter open-source unified video-action world model that combines policy and world modeling to generate robot actions, predict future visuals, and evaluate task progress from observations, language, and state. The model is trained on 27.3K hours of heterogeneous data (17.8K real-robot teleop, 6.5K UMI demos, 3K egocentric human videos), enabling it to perform complex manipulation tasks like faucet connecting, bag packing, and toolbox storing as shown in demo videos. The approach supports test-time action refinement and points toward deployment-driven continuous improvement via fleet data. Thanks for sharing, Jianlan Luo (Jianlan Luo)! 📌 Resource links for τ0-WM: • Project page: • GitHub (code): • Hugging Face (model weights): • Paper (PDF): ——- Weekly robotics and AI insights. Subscribe free:

The first open-source unified world model for scalable robot manipulation: 5B-parameter open-source unified video-action world model that combines policy and world modeling to generate robot actions, predict future visuals, and evaluate task progress from observations, language, and state. The model is trained on 27.3K hours of heterogeneous data (17.8K real-robot teleop, 6.5K UMI demos, 3K egocentric human videos), enabling it to perform complex manipulation tasks like faucet connecting, bag packing, and toolbox storing as shown in demo videos. The approach supports test-time action refinement and points toward deployment-driven continuous improvement via fleet data. Thanks for sharing, Jianlan Luo (Jianlan Luo)! 📌 Resource links for τ0-WM: • Project page: • GitHub (code): • Hugging Face (model weights): • Paper (PDF): ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

28,276 次观看 • 3 个月前

THIS GUY POWERED A $599 MAC MINI WITH A LAWN MOWER BATTERY AND TURNED HIS TESLA MODEL Y INTO A MOBILE AI OFFICE 00:44 he plugs the mac mini into a green EGO battery through a portable inverter, giving the entire setup its own power source instead of pulling everything from the car. the weird battery is the smartest part. it is normally used for lawn mowers and workshop tools, but here it runs the computer, cables and portable display while the tesla handles the internet connection and cabin. open obsidian, claude code and 4 small agents, and the car becomes a private work pod that can sort 140 links, summarize a 55 minute call and prepare project notes before the next charging stop. the extra setup costs roughly $250 to $350 depending on the battery size. add the inverter, tray, display and cables, and the complete mobile desk lands near $950 before counting the tesla. a larger 56v battery could keep the mac mini running for around 3 to 5 hours during research and writing, or closer to 2 hours with transcription, local models and multiple agents working together. bookmark this before lawn mower batteries start powering better offices than coworking spaces.

THIS GUY POWERED A $599 MAC MINI WITH A LAWN MOWER BATTERY AND TURNED HIS TESLA MODEL Y INTO A MOBILE AI OFFICE 00:44 he plugs the mac mini into a green EGO battery through a portable inverter, giving the entire setup its own power source instead of pulling everything from the car. the weird battery is the smartest part. it is normally used for lawn mowers and workshop tools, but here it runs the computer, cables and portable display while the tesla handles the internet connection and cabin. open obsidian, claude code and 4 small agents, and the car becomes a private work pod that can sort 140 links, summarize a 55 minute call and prepare project notes before the next charging stop. the extra setup costs roughly $250 to $350 depending on the battery size. add the inverter, tray, display and cables, and the complete mobile desk lands near $950 before counting the tesla. a larger 56v battery could keep the mac mini running for around 3 to 5 hours during research and writing, or closer to 2 hours with transcription, local models and multiple agents working together. bookmark this before lawn mower batteries start powering better offices than coworking spaces.

Gipp 🦅

51,881 次观看 • 2 个月前