Reportedly, the world's fastest high-DoF hand has been developed by LinkerBot, which also featured at the World Humanoid Robot Games finals. The Linker Hand L30 is a tendon-driven robot hand with 22 degrees of freedom, 18 of them actively driven and 4 passive. The company pitches it for research, medical assistance and precision industrial assembly. Cables act as tendons to pull the finger joints, the way tendons move a human hand. LinkerBot pairs them with high-resolution encoders and tendon-tension control, which it says gives the hand ±0.2 mm repeatability. Speed: full open or close in 0.2 s, finger flexion up to 363.6°/s, thumb flexion up to 450.35°/s Force: 9 N at each fingertip, 6.5 N at the thumb, 39 N five-finger grip, 15 kg maximum load Sensing: tactile sensor arrays in the fingertips Integration: CAN FD and Mini-USB, 500 Hz communication, 24 V DC, 1,192 g LinkerBot also makes the O6, a smaller linkage-driven hand with 6 active degrees of freedom, a 70 N grip and a listed weight of 360 g. Beijing-based LinkerBot closed a Series B+ round in April at a reported $3 billion valuation.

The first full body humanoid designed for children. This is the DoBot LUMO, positioned as hardware that brings embodied intelligence closer to everyday environments. First shown yesterday, LUMO boasts - Multimodal Emotional Perception to better react to human emotions - 3D Spatial awareness although this is arguably a non negotiable for the modern humanoid - Proactive human interaction training so that LUMO interacts with users without being prompted - Powered by DOBOT’s self-developed embodied intelligence model, LUMO can learn from real-world interactions and data feedback. The company has not released any technical specifications, but clearly, it knows how to mimic karate. Is anyone keeping count of how many humanoids are coming out of Shenzhen lately?

If an AI bubble does exist, it's not showing signs of popping. A new megaround was just announced by the company building the factories behind AI. @CrusoeAI has raised $3.9B at a $30B post-money valuation.

Nobody is expecting humanoids to reach the home until at least 2030. Every timeline still puts full deployment some time away. @Figure_robot might have just disrupted this way of thinking. Index pretraining achieved a 56% success rate on unseen homes, compared to just 9% without the training. Cost was thought to be a large barrier for the end customers, just a few years ago, a humanoid would have been closer to $100k than $10k. Not only is that now not the case, @adcock_brett's lease approach brings them into a home for "something like $600 a month" How close are we to seeing a humanoid in every kitchen, living room & bedroom?