Deep learning uses stacks of multiple processing layers to learn representations of data with different levels of abstraction. It enables machines to have the understanding of outer environment just like the human body, opening a path for diverse ...
In this dissertation we study the interactions between free bodies and unsteady viscous flows, with particular interest in locomotion and in particle transport in streaming flows.For self-propelling bodies, we present systems with two different me...
This thesis explores the extension of a state of the art dense RGBD SLAM system to include detected geometries as elements in the estimated global map. The existing approach leverages an algorithm for dense visual odometry, which is analyzed in de...
Vortices in optical beams have been the subject of extensive study since their status as a generic feature of light was established. They have found extensive use in optical trapping systems, astronomy, microscopy and are being investigated for fr...
