Target detection and tracking encompasses a variety of decisional problems such as
coverage, surveillance, search, patrolling, observing and pursuit-evasion along with others …

We consider nondifferentiable dynamic optimization problems such as those arising in
robotics and subspace tracking. Given the computational constraints and the time-varying …

This paper considers the problem of distributed state estimation (DSE) using multirobot
systems. The robots have limited communication capabilities and, therefore, communicate …

Several interesting problems in multi-robot systems can be cast in the framework of
distributed optimization. Examples include multi-robot task allocation, vehicle routing, target …

Multiagent systems are being increasingly deployed in challenging environments for
performing complex tasks such as multitarget tracking, search-and-rescue, and intrusion …

In this paper, we consider a time-varying optimization approach to the problem of tracking a
moving target using noisy time-of-arrival (TOA) measurements. Specifically, we formulate the …

Real world Multi-Vehicle Motion Planning (MVMP) problems require the optimization of
suitable performance measures under an array of complex and challenging constraints …

We study numerical optimization algorithms that use zeroth-order information to minimize
time-varying geodesically convex cost functions on Riemannian manifolds. In the Euclidean …

This work considers the problem of decentralized online learning, where the goal is to track
the optimum of the sum of time-varying functions, distributed across several nodes in a …

In this paper, we address the problem of controlling a network of mobile sensors so that a set
of hidden states are estimated up to a user-specified accuracy. The sensors take …