Autonomous navigation in the underwater environment is challenging due t...
Moving horizon estimation (MHE) is a widely studied state estimation app...
We study algorithms for detecting and including glass objects in an
opti...
Adaptive gradient methods have become popular in optimizing deep neural
...
This paper studies a distributed multi-agent convex optimization problem...
Accelerated gradient-based methods are being extensively used for solvin...
This paper considers the problem of multi-agent distributed linear regre...
In this paper, we study integrated estimation and control of soft robots...
This paper considers the multi-agent distributed linear least-squares
pr...
This paper considers the multi-agent linear least-squares problem in a
s...
We propose a distributed optimization algorithm that, additionally, pres...
Gradient-descent method is one of the most widely used and perhaps the m...
This paper proposes a privacy protocol for distributed average consensus...