28 citations · 33 across the 10 of their papers we have counts for
10 papers
Subteaming and Adaptive Formation Control for Coordinated Multi-Robot Navigation
Zihao Deng, Peng Gao, Williard Joshua Jose +5
Coordinated multi-robot navigation is essential for robots to operate as a team in diverse environments. During navigation, robot teams usually need to maintain specific formations…
Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction
Peng Gao, Ahmed Jaafar, Brian Reily +2
Language-enabled robots have been widely studied over the past years to enable natural human-robot interaction and teaming in various real-world applications. Language-enabled robo…
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…
Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition
Brian Reily, Qingzhao Zhu, Christopher Reardon +1
Real-time human activity recognition plays an essential role in real-world human-centered robotics applications, such as assisted living and human-robot collaboration. Although pre…
Space-Time Representation of People Based on 3D Skeletal Data: A Review
Fei Han, Brian Reily, William Hoff +1
Spatiotemporal human representation based on 3D visual perception data is a rapidly growing research area. Based on the information sources, these representations can be broadly ca…