Dynamical models underpin our ability to understand and predict the behaviour of natural systems. Whether dynamical are developed from first-principles derivations or observational data, they predicated on choice state variables. The variables is driven by convenience intuition, and, in data-driven cases, observed often chosen be dimensionality these (and consequently models) can arbitrarily la...

Grasp synthesis for 3-D deformable objects remains a little-explored topic, most works aiming to minimize deformations. However, deformations are not necessarily harmful—humans are, example, able exploit generate new potential grasps. How achieve that on robot is though an open question. This letter proposes approach uses object stiffness information in addition depth images synthesizing high-q...

Climate change and the development of urban centers within flood-prone areas have significantly increased flood-related disasters worldwide. However, most flood risk categorization prediction efforts been focused on hydrologic features hazards, often not considering subsequent long-term losses recovery trajectories (i.e., community’s resilience). In this study, a two-stage Machine Learning (ML)...