When a natural or human disaster occurs, time is critical and often of vital importance. Data
from the incident area containing the information to guide search and rescue (SAR) …

Multi-UAV systems have shown immense potential in handling complex tasks in large-scale,
dynamic, and cold-start (ie, limited prior knowledge) scenarios, such as wildfire suppression …

This paper proposes a novel importance-based persistent coverage for environments with
hotspots. Multiple quadrotors are utilized to maintain coverage while acquiring high-quality …

The heightened autonomy and robust adaptability inherent in a multi-robot system have
proven pivotal in disaster search and rescue, agricultural irrigation, and environmental …

We study the problem of allocating many mobile robots for the execution of a pre-defined
sweep schedule in a known two-dimensional environment, with applications toward search …

This paper studies the problem of defending (1D and 2D) boundaries against a large
number of continuous attacks with a heterogeneous group of defenders. The defender team …

This paper proposes a new architecture for multi-agent systems to cover an unknowingly
distributed fast, safely, and decentralizedly. The inter-agent communication is organized by …

This paper presents Reduced State Value Iteration (RSVI), an algorithm to compute policies
for Markov Decision Processes (MDPs) that have natural checkpoints, allowing for a solution …

We study quantum advantage in one-step rendezvous games on simple graphs analytically,
numerically, and using noisy intermediate-scale quantum (NISQ) processors. Our protocols …

Weconsider learning the dynamics and measurement model parameters of a graph-based
Markov decision process (GMDP) given a history of measurements. Graph-based models …