4 accepted papers
We present a 3D seismic exploration and imaging survey conducted by robotic platforms in a hardware-in-the-loop system. To this end, we integrate the adapt-then-combine full waveform inversion (ATC-FWI) over a network of mobile rovers in the ROS2 framework. The ATC-FWI allows for distributed subsurf…
We propose a hybrid dictionary approach for distributed kernel-based adaptive learning of a nonlinear function by a network of nodes. The hybrid dictionary incorporates a local part to improve learning of high frequency components in the function within the local domain of each node and a global par…
In this paper, we address the problem of distributed state estimation, where a set of nodes are required to jointly estimate the state of a linear dynamic system based on sequential measurements. In our distributed scenario, all the nodes 1) are interested in the full state of the observed system an…
The sampling of neural signals plays an important role in modern neuroscience, especially for prosthetics. However, due to hardware and data rate constraints, only spike trains can get recovered reliably. State of the art prosthetics can still achieve impressive results, but to get higher resolution…