4 citations · 5 across the 3 of their papers we have counts for
7 papers
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation
Peng Gao, Brian Reily, Rui Guo +3
Collaborative localization is an essential capability for a team of robots such as connected vehicles to collaboratively estimate object locations from multiple perspectives with r…
Decentralized and Communication-Free Multi-Robot Navigation through Distributed Games
Brian Reily, Terran Mott, Hao Zhang
Effective multi-robot teams require the ability to move to goals in complex environments in order to address real-world applications such as search and rescue. Multi-robot teams sh…
Adaptation to Team Composition Changes for Heterogeneous Multi-Robot Sensor Coverage
Brian Reily, Terran Mott, Hao Zhang
We consider the problem of multi-robot sensor coverage, which deals with deploying a multi-robot team in an environment and optimizing the sensing quality of the overall environmen…
Team Assignment for Heterogeneous Multi-Robot Sensor Coverage through Graph Representation Learning
Brian Reily, Hao Zhang
Sensor coverage is the critical multi-robot problem of maximizing the detection of events in an environment through the deployment of multiple robots. Large multi-robot systems are…
Simultaneous View and Feature Selection for Collaborative Multi-Robot Perception
Brian Reily, Hao Zhang
Collaborative multi-robot perception provides multiple views of an environment, offering varying perspectives to collaboratively understand the environment even when individual rob…
Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams
Brian Reily, Christopher Reardon, Hao Zhang
Multi-robot systems of increasing size and complexity are used to solve large-scale problems, such as area exploration and search and rescue. A key decision in human-robot teaming…