Abstract: We present an approach to address a multirobot persistent monitoring problem, where a team of agents must repeatedly survey specific points of interest (POIs) within a 2-D area. Our approach ...
Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.
Three LangChain flaws enable data theft across LLM apps, affecting millions of deployments, exposing secrets and files.
Abstract: Nonlinear model predictive control (NMPC) algorithms have been widely used in autonomous vehicle trajectory tracking, yet their performance is primarily limited by the accuracy of the ...
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