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 controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems ...

To construct model predictive controllers (MPCs), we must first specify a plant model that is typically extracted from input-output data using system identification ...

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

The biopharmaceutical industry is rapidly moving from empirical, trial and error process development toward digitalized and ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

The current delivery environment is fragmented and dynamic. In this environment, the industry needs to shift its focus from trying to optimize a stable system to instead operate effectively within an ...

Attentive launches Brand Voice 2.0 to give marketers greater control over how AI-generated content reflects their brand ...

Schematic of the High-Sensitivity Inline Raman Measurement System: A high light-collection-efficiency probe and a Raman ...

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

The company was recognized for advancing AI-powered water monitoring technology that helps property owners detect leaks early ...