Humanoid Robots RSS

Join Scott Walter, Gustav Andersson, Prof John Gibbs @DrKnowitallKnows and Royden D’Souza for a live, expert breakdown of the Figure 03 humanoid bot reveal - the most anticipated moment in robotics this year. 🤖 We’ll cut through the hype to expose what’s real, what’s cinematic, and what it means for the future of humanoid AI. #Figure03 #FigureAI #HumanoidRobot #AI #Robotics #TeslaOptimus #ScottWalter #GustavAndersson #DrKnowitallKnows #RoydenDSouza #OverTheHorizon #HumanoidAI #RobotReveal #ArtificialIntelligence #FutureTech #Engineering #Mach33 #RobotAnalysis #LiveStream

🚨 EXPERT ANALYSIS | FIGURE 03 REVEAL 🤖 The trailer is out, and the hype is real. But what really lies beneath Figure 03’s glossy trailer? Scott Walter and Gustav Andersson join me for an unfiltered, expert-led deep dive into the humanoid bot everyone’s talking about. ⚙️ We break down 👇🏽 ‼️The inductive charging system stamped on its heel ‼️New palm-eye cameras and fingertip sensors ‼️That mysterious thermal design and exoskeleton cooling #Figure03 #HumanoidRobots #AI #Engineering #OverTheHorizon #ScottWalter #GustavAndersson

Sergey Levine is one of the world’s top robotics researchers and co-founder of Physical Intelligence. He thinks we’re on the cusp of a “self-improvement flywheel” for general-purpose robots. His median estimate for when robots will be able to run households entirely autonomously? 2030. If Sergey’s right, the world 5 years from now will be an *insanely* different place than it is today. This conversation focuses on understanding how we get there: we dive into foundation models for robotics, and how we scale both the data and the hardware necessary to enable a full-blown robotics explosion. 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 * Transcript: https://www.dwarkesh.com/p/sergey-levine * Apple Podcasts: https://podcasts.apple.com/us/podcast/fully-autonomous-robots-are-much-closer-than-you-think/id1516093381?i=1000726524050 * Spotify: https://open.spotify.com/episode/1WpOKLN3vSvvWjrVDIJAyy?si=DPxf6K5BSBy5R4OYIqk8pQ 𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒 * Labelbox provides high-quality robotics training data across a wide range of platforms and tasks. From simple object handling to complex workflows, Labelbox can get you the data you need to scale your robotics research. Learn more at https://labelbox.com/dwarkesh * Hudson River Trading uses cutting-edge ML and terabytes of historical market data to predict future prices. I got to try my hand at this fascinating prediction problem with help from one of HRT’s senior researchers. If you’re curious about how it all works, go to https://hudson-trading.com/dwarkesh * Gemini 2.5 Flash Image (aka nano banana) isn’t just for generating fun images — it’s also a powerful tool for restoring old photos and digitizing documents. Test it yourself in the Gemini App or in Google’s AI Studio: https://ai.studio/banana To sponsor a future episode, visit https://dwarkesh.com/advertise 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00:00) – Timeline to widely deployed autonomous robots (00:17:25) – Why robotics will scale faster than self-driving cars (00:27:28) – How vision-language-action models work (00:45:37) – Changes needed for brainlike efficiency in robots (00:57:59) – Learning from simulation (01:09:18) – How much will robots speed up AI buildouts? (01:18:01) – If hardware’s the bottleneck, does China win by default?

Over The Horizon

Elon Musk considers developing a human-like hand for Tesla's Optimus robot to be the company's most challenging problem yet, due to the complexity of replicating human hand functionality, sensation, and fine motor skills   Questions to inspire discussion Hand Design Challenges 🤖 Q: Why is the hand the toughest problem for Tesla's Optimus robot? A: The human hand has 27-28 degrees of freedom, requiring 80% of engineering difficulty to replicate its versatility and dexterity in a robotic hand. ✋ Q: How many muscles control the human hand? A: The human hand is controlled by 20 muscles in the hand and...