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An AI-powered control system for robots with legs
Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...
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Physical AI’s $50 trillion opportunity requires long-term conviction, but the payoff is huge
Long capex cycles, safety constraints, and brownfield realities mean the biggest returns will go to companies that invest now ...
Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...
System integrator Hargrove Controls & Automation recommends a suitable IIoT network supported by cloud computing ...
Finland has hunkered down on its strengths in health, quantum and maths to nurture an industrial recovery that has been ...
Imagine a future where the same technology critics blame for massive energy use becomes the catalyst for a cleaner, more resilient world. That future is closer than we think.
Abstract: Model Predictive Control (MPC) method is widely used in autonomous vehicle control technology. The adjustment of MPC weights is crucial for optimizing its control performance, ensuring ...
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
Model-Free Predictive Current Control for PMSMs Based on a Physics-Informed Recurrent Neural Network
Abstract: Model-free predictive current control (MFPCC) based on the ultra-local model addresses the high parameter sensitivity characteristic of conventional model predictive current control (MPCC).
CE giant and leading Japanese telco reveal AI-powered radio access network optimisation service designed to deliver up to 52% improvement in 5G downlink throughput.
While vision and language are key parts of physical AI, physical state recovery will enable robots to interact with the world, says a columnist.
Rheumatologists and gastroenterologists don’t save their best drugs until last; neither should dermatologists.
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