Abstract: Transferring a controller from a simulated environment to a physical system is regarded as a challenging problem in robotics. We present a method for continuous improvement of modeling and ...

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 ...

Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...

Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

For years, digital twins were viewed as useful but optional. Digital twins are rapidly evolving into essential intelligence ...

Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...

AI inference infrastructure investment pulled $1.8 billion in 48 hours as Baseten’s $1.5B round at a $13B valuation and ...

World models are getting the kind of money that tells you investors are looking past chatbots. The bet is simple: the next valuable AI system won't only answer you, it will understand the room it's ...

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

Wave, recently announced its forthcoming gate-model quantum computing simulator, a move that expands its gate-model roadmap designed to accelerate the development of ...

In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...