23 citations · 47 across the 25 of their papers we have counts for
3 papers · 1 filter
Vid2Param: Modelling of Dynamics Parameters from Video
Martin Asenov, Michael Burke, Daniel Angelov +3
Videos provide a rich source of information, but it is generally hard to extract dynamical parameters of interest. Inferring those parameters from a video stream would be beneficia…
To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions
Tatiana Lopez-Guevara, Rita Pucci, Nicholas Taylor +3
Our brains are able to exploit coarse physical models of fluids to solve everyday manipulation tasks. There has been considerable interest in developing such a capability in robots…
Active Localization of Gas Leaks using Fluid Simulation
Martin Asenov, Marius Rutkauskas, Derryck Reid +2
Sensors are routinely mounted on robots to acquire various forms of measurements in spatio-temporal fields. Locating features within these fields and reconstruction (mapping) of th…