Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, potentially allowing autonomous robots to select and use tools more ...

Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, potentially allowing autonomous robots to select and use tools more ...

Abstract: Based on analyzing the character of cascaded decoder architecture commonly adopted in existing DETR-like models, this paper proposes a new decoder architecture. The cascaded decoder ...

Este projeto implementa um sistema de detecção de objetos utilizando o modelo YOLOv8, com foco na identificação de "Wally" (ou "Waldo") em imagens. Desenvolvido para demonstrar a aplicação prática de ...

This dynamic three-day conference offers students the opportunity to debate critical issues facing the global community, as well as develop public speaking, researching and writing skills, in a ...

Abstract: The robot-based tracking of highly dynamic end point motions of deformable linear objects (DLO) remains challenging due to its non-linear behavior. Since simple feedback control is ...