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cs.RO2025
GRASPLAT: Enabling dexterous grasping through novel view synthesis
Matteo Bortolon, Nuno Ferreira Duarte, Plinio Moreno +3
Achieving dexterous robotic grasping with multi-fingered hands remains a significant challenge. While existing methods rely on complete 3D scans to predict grasp poses, these appro…
cs.CV2025
Estimating Object Physical Properties from RGB-D Vision and Depth Robot Sensors Using Deep Learning
Ricardo Cardoso, Plinio Moreno
Inertial mass plays a crucial role in robotic applications such as object grasping, manipulation, and simulation, providing a strong prior for planning and control. Accurately esti…