a sunny day with blue skies. an apple orchard. a rusty humanoid robot holds an apple. a wooden sign says “Robots” –chaos 40 –ar 4:3 –style raw –personalize 9zxyhz8
Brett Adcock on X: “CMU Robotics introduced OmniH2O, a learning-based system for whole-body humanoid teleoperation/autonomy Using a ‘universal control interface’, OmniH2O allows humans to control full-sized humanoids using VR headsets, verbal instructions, and RGB cameras https://t.co/JfbWz6HZJh” / X – https://x.com/adcock_brett/status/1799834824955359475
Stanford HumanPlus
“Power On: Apple’s AI push isn’t so much about its current devices, but enabling its next wave of hardware from AR glasses to AirPods with cameras to potentially humanoid robots and more.
“With @Harvard, we built a ‘virtual rodent’ powered by AI to help us better understand how the brain controls movement. 🧠 With deep RL, it learned to operate a biomechanically accurate rat model – allowing us to compare real & virtual neural activity. →
Train a prosthetic limb by thinking about moving your phantom limb, until it works.
“AI and robotics is on the verge of transforming prosthetic limbs. Watch @AtomLimbs’ tech in action.
“Atom Limbs is combining AI and robotics to create a much more advanced form of prosthetics The startup covers a patient’s stump in electrodes and tells a patient to move their ‘fingers’, essentially training an AI model using their minds
Tesla claims it has 2 Optimus humanoid robots working autonomously in factory | Electrek
“Our paper presented at Robotics and Automation Magazine is now on arXiv and YouTube! Toward Autonomous Driving by Musculoskeletal Humanoids: A Study of Developed Hardware and Learning-Based Software arxiv:
Humanoid tourist: Watch AI-powered robot climb the Great Wall of China
“RobotEra, another Chinese startup, released a new video of its humanoid. XBot-L just became the first humanoid robot to walk the Great Wall of China
Want to make robots more agile? Take a lesson from a rat. — Harvard Gazette
“Yale Faboratory presented VSRS, a concept that integrates stiffness-changing capabilities, sensing, and actuation into a thin design for robots “Reconfiguring, reconnecting, and reshaping VSRSs allows them to achieve new functions both on and in the absence of a host body”
“CMU Robotics introduced OmniH2O, a learning-based system for whole-body humanoid teleoperation/autonomy Using a ‘universal control interface’, OmniH2O allows humans to control full-sized humanoids using VR headsets, verbal instructions, and RGB cameras
“Hugging Face and Pollen Robotics demo’d “Reachy2”, a humanoid robot from Hugging Face’s new ‘Le Robot’ program The demo shows the robot doing chores autonomously, with the dataset and the model trained all open-sourced on HF
“OpenVLA An Open-Source Vision-Language-Action Model Large policies pretrained on a combination of Internet-scale vision-language data and diverse robot demonstrations have the potential to change how we teach robots new skills: rather than training new behaviors from
“Introduce HumanPlus – Shadowing part Humanoids are born for using human data. We build a real-time shadowing system using a single RGB camera and a whole-body policy for cloning human motion. Examples: – boxing🥊 – playing the piano🎹/ping pong – tossing – typing Open-sourced!
1X
“You can now tell EVE to do multiple autonomous tasks back-to-back. Watch a team of EVEs work together to clean up our office.

Heads up! You’ve scrolled to the end of this category. There may have been just one or two links (above), so go back up and double check to be sure you didn’t quickly scroll down past it.
Be Sure To Read This Week’s Main Post:
This week’s executive overview and top links are here:
AI News #37: Week Ending 06/14/2024 with Executive Summary and Top 7 Must-Read Links
The post you just read is an deep dive extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.
- Agents/Copilots
- Amazon
- Apple
- Artificial General Intelligence (AGI)
- Augmented and Virtual Reality (AR/VR)
- Autonomous Vehicles
- AI Audio
- Business and Enterprise AI
- Chips and Hardware
- Consumer Products
- Education
- Ethics/Legal Security
- Images/Photos
- International AI News
- Locally Run AI Models
- Mobile
- Meta
- Microsoft
- OpenAI
- Open Source
- Podcasts/YouTube
- Publishing and News
- Retrieval-Augmented Generation (RAG) News
- Robots and Embodiment
- Science and Medicine
- Video
- Vision/Multimodality
- X/Twitter/Grok
- Tech and Development
Credits/Sources

Most of these weekly links come from just a few prolific oversharing sources. Please follow them, as they work hard to find the news each week and they make it a lot easier for me to compile.
- Robert Scoble: https://x.com/Scobleizer
- Ethan Mollick: https://www.linkedin.com/in/emollick/
- Alan Thompson: https://lifearchitect.ai/
- Theoretically Media: https://www.youtube.com/@TheoreticallyMedia
- The Rundown: https://www.therundown.ai/
- Bilawal Sidhu: https://twitter.com/bilawalsidhu/
- TLDR: https://tldr.tech/ai
- Jeremiah Owyang: https://twitter.com/jowyang
- Nick St. Pierre: https://twitter.com/nickfloats
- Dr. Jim Fan: https://twitter.com/DrJimFan
- All About AI: https://www.youtube.com/@AllAboutAI
- Marshall Kirkpatrick: https://aitimetoimpact.com/
- AI News (Smol Talk): https://buttondown.email/ainews/archive/
- Andrej Karpathy: https://x.com/karpathy
- Brett Adcock: https://x.com/adcock_brett
- Florent Daudens: https://x.com/fdaudens
- Ate-a-Pi: https://x.com/8teAPi
- Francesco Marconi: https://x.com/fpmarconi
- Charlie Beckett: https://x.com/CharlieBeckett
For previous issues, please visit the archives!

Thanks for reading!





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