How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows↗
How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows
Robotics and embodied AI developments.
How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows
Robots are getting smarter, but how can their hardware match that growth? New Microsoft Research findings show that moving AI inference beyond the robot can improve task success, boost efficiency, and support more advanced physical AI workloads. The post Offloaded inference for real-world physical AI robotics appeared first on Microsoft Research .

Despite challenges, Tesla aims for 1,000 Optimus robots per week by end of 2026.
Hitting its goal of making 20,000 Optimus robots per week is reportedly proving tricky for Tesla. The Information reports that Tesla produced "several hundred robots a week" last month, after it repurposed its Model S and Model X production lines for Optimus earlier this year. However, this strategy is reportedly creating manufacturing snags, like issues lining up parts precisely, as The Information notes: "Not only are the Optimus production lines new, but the Optimus parts are much smaller and have to fit together far more precisely than car parts." It reports that even in the "V3" Optimus r

Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […]

The warning shots will continue until civilization wakes up