Continual robot learning is an emerging interdisciplinary field that integrates advances from machine learning, robotics, and cognitive science to build ...
Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Abstract: Motion planning for autonomous vision-based car racing is a challenging task in robotics. Classical racing systems divide the task into numerous submodules ...
Abstract: Adversarial phenomena have been widely observed in machine learning (ML) systems, especially those using deep neural networks. These phenomena describe situations where ML systems may ...
Background: Critical thinking is a crucial skill in the nursing profession and must be fostered through nursing education. Simulation-based learning (SBL) with technological modalities is a ...
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