Meta Unveils "Muse Gadgets" Open-Source Project for DIY AI Hardware
Meta has launched Muse Gadgets, an open-source initiative providing firmware and an SDK for DIY AI devices, alongside a limited release of its Muse Home Link smart home adapter.
Humanoid robots, industrial robotics, and autonomous systems.
Meta has launched Muse Gadgets, an open-source initiative providing firmware and an SDK for DIY AI devices, alongside a limited release of its Muse Home Link smart home adapter.
The International Federation of Robotics reports 5 million robots are now operating in global factories, dwarfing the roughly 7,000 humanoid units sold in 2025 and sparking calls for stricter machine access governance.
Dreame has discounted its obstacle-climbing X50 Ultra robot vacuum and mop hybrid down to $849.99, marking a steep drop from its original $1,599.99 launch price.
Philips has released its Sonicare Next-Generation DiamondClean 9900 Prestige in the US and Europe, using a third-generation AI model and a built-in touchscreen to guide and adjust brushing routines.
Wayve, Waymo, Aurora and others reveal new partnerships, fleet expansions, and IPO plans, highlighting how autonomous‑vehicle companies are choosing distinct paths to commercial scale.
Tesla’s push to churn out 20,000 Optimus units weekly stalls at a few hundred a week, with manual hand assembly and precision‑part challenges slowing progress.
Founded by former ExxonMobil engineer Lindsey Elliott, Nexterity has developed a compact, remote-controlled robot designed to tighten and loosen pipe flange bolts, aiming to reduce workplace injuries and ease labor shortages.
Alphabet's autonomous driving unit has released updated safety data showing substantial reductions in injury and severe collisions compared to human motorists across five major metropolitan markets.
A new guide from NVIDIA demonstrates how MuJoCo Warp leverages GPU kernel compilation to scale robotics environments like the SO-101 arm up to 2,048 parallel worlds for reinforcement learning.
Robotics developers face a major bottleneck due to the high cost of video data and inconsistent sensor inputs, according to Telus Digital AI lead Sce Pike. Unlike text-based AI models, physical robots require real-world sensory training to navigate gravity, physics, and public safety risks.
Pittsburgh startup Skild AI has deployed its S1 foundation model, which allows robots to master complex physical workflows from a single video demonstration, while reaching a $100 million revenue run rate.