This paper presents a novel multi-robot coverage path planning (CPP) algorithm-aka
SCoPP-that provides a time-efficient solution, with workload balanced plans for each robot …

This paper tackles a class of multi-robot task allocation (MRTA) problems called “Single-
Task Robots and Single-Robot Tasks” or SR–ST problems, subject to the following …

Active Position Estimation (APE) is the task of localizing one or more targets using one or
more sensing platforms. APE is a key task for search and rescue missions, wildlife …

Groups of robots can be tasked with identifying a location in an environment where a feature
cue is past a threshold, then disseminating this information throughout the group–such as …

To accomplish complex swarm robotic missions in the real world, one needs to plan and
execute a combination of single robot behaviors, group primitives such as task allocation …

Active learning is a subfield of machine learning that focuses on improving the data
collection efficiency in expensive-to-evaluate systems. Active learning-applied surrogate …

In various applications of multi-robotics in disaster response, warehouse management, and
manufacturing, tasks that are known a priori and tasks added during run time need to be …

Swarm-robotic approaches to search and target localization, where target sources emit a
spatially varying signal, promise unparalleled time efficiency and robustness. With most …

This paper introduces a novel approach to hyperparameter optimization (HPO), proposing a
methodology that balances exploration and exploitation to enhance optimization …

The collective operation of robots, such as unmanned aerial vehicles (UAVs) operating as a
team or swarm, is affected by their individual capabilities, which in turn is dependent on their …