The human hand is the product of 400 million years of evolution, carefully sculpted through countless generations of biological selection.
It’s the one design we know for sure works exceptionally well for the full spectrum of human affordances.
Genesis AI's brain + Wuji hands:
Figure has scaled humanoid robot production from 1 per day to 1 per hour, a 24x increase in under 120 days. Over 350 robots have shipped, battery yield reached 99.3%, and 9,000+ actuators were produced. Helix AI now navigates stairs, ramps, and uneven terrain using simulation-trained vision.
Video Credit: Figure
#robots #engineering #technology #robotics
Figure has finally unveiled its F.03 fleet.
This marks their first large-scale physical demonstration of their humanoid robots.
Brett states that a humanoid robot is now rolling off the assembly line every hour.
Introducing Vulcan - a new Al robot controller
This is an important safety feature that allows F.03 to lose up to 3 actuators in the lower body and still hobble around without falling
Check it out
Holy…S🤯 AGIBOT's upcoming A3 humanoid robot. I'm speechless…
Continuous mid-air side kicks, continuous side flips while touching the floor, mid-air backflips... Did they take all the Chinese Kungfu secrets for training?
🚨Breaking FSD update🚨
I am so exited and happy as one of the very early testers, that I just installed FSD 14.3.1 UNSUPERVISED!!!
Will setup all my gear and live stream first thing in the morning!
Get ready for some first hand experience, me getting driven around in the passenger seat.
It's unreal, the moment so many of us have been waiting for.
GOOD NEWS 📰 Tesla Cybercab was spotted navigating a multi-lane highway in Northern Virginia without side mirrors, showcasing unsupervised FSD capabilities during public road testing 🔥
Just in!
Unitree files for a ~$610M IPO after delivering 5,500+ humanoid robots, ~1.7B RMB in revenue, and gross margins above 60%, making it the only company in the category operating at scale with profitability.
This IPO sets the first public market benchmark for humanoid robotics and begins to define how the sector will be valued, funded, and expanded going forward.
'LATENT' learns tennis skills for humanoid robots from human motion data.
The robot can sustain multi-shot rallies, handle ball speeds of 15+ m/s, and showed a 90.9% success rate for the forehand.
No onboard cameras or vision models, relies on external MoCap for high-precision, low-latency ball tracking.
Paper: https://t.co/Ji96gaQUNx