Brian Reily

According to our database, Brian Reily authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learned Sensor Fusion For Robust Human Activity Recognition in Challenging Environments.

Max Conway, Brian Reily, Christopher M. Reardon

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction.

Peng Gao, Ahmed Jaafar, Brian Reily, Christopher M. Reardon, Hao Zhang

CoRR, 2023

Defensive Configuration for Multi-Agent Perimeter Monitoring.

Brian Reily, Aaron Kraft, Mario A. Lopez, Christopher M. Reardon

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

2022

Real-time recognition of team behaviors by multisensory graph-embedded robot learning.

Brian Reily, Peng Gao, Fei Han, Hua Wang, Hao Zhang

Int. J. Robotics Res., 2022

Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation.

Peng Gao, Brian Reily, Rui Guo, Hongsheng Lu, Qingzhao Zhu, Hao Zhang

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Disruption of Connectivity Graphs in Uncertain Multi-Agent Systems.

Brian Reily, Caden Coniff, John G. Rogers, Christopher M. Reardon

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

2021

Robust Real-Time Group Activity Recognition of Robot Teams.

Lyujian Lu, Hua Wang, Brian Reily, Hao Zhang

IEEE Robotics Autom. Lett., 2021

Balancing Mission and Comprehensibility in Multi-Robot Systems for Disaster Response.

Brian Reily, John G. Rogers, Christopher M. Reardon

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2021

Role Discovery in Observed Multi-Agent Systems Over Time through Matrix Factorization.

Brian Reily, Michael Don, John G. Rogers, Christopher M. Reardon

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2021

Team Assignment for Heterogeneous Multi-Robot Sensor Coverage through Graph Representation Learning.

Brian Reily, Hao Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Adaptation to Team Composition Changes for Heterogeneous Multi-Robot Sensor Coverage.

Brian Reily, Terran Mott, Hao Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Game Theoretic Decentralized and Communication-Free Multi-Robot Navigation.

Brian Reily, Terran Mott, Hao Zhang

CoRR, 2020

Simultaneous View and Feature Selection for Collaborative Multi-Robot Recognition.

Brian Reily, Hao Zhang

CoRR, 2020

Leading Multi-Agent Teams to Multiple Goals While Maintaining Communication.

Brian Reily, Christopher M. Reardon, Hao Zhang

Proceedings of the Robotics: Science and Systems XVI, 2020

Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition.

Brian Reily, Qingzhao Zhu, Christopher M. Reardon, Hao Zhang

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams.

Brian Reily, Christopher M. Reardon, Hao Zhang

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Visual Reference of Ambiguous Objects for Augmented Reality-Powered Human-Robot Communication in a Shared Workspace.

Peng Gao, Brian Reily, Savannah Paul, Hao Zhang

Proceedings of the Virtual, Augmented and Mixed Reality. Design and Interaction, 2020

2018

Skeleton-based bio-inspired human activity prediction for real-time human-robot interaction.

Brian Reily, Fei Han, Lynne E. Parker, Hao Zhang

Auton. Robots, 2018

2017

Real-time gymnast detection and performance analysis with a portable 3D camera.

Brian Reily, Hao Zhang, William A. Hoff

Comput. Vis. Image Underst., 2017

Space-time representation of people based on 3D skeletal data: A review.

Fei Han, Brian Reily, William A. Hoff, Hao Zhang

Comput. Vis. Image Underst., 2017