Brian Reily

PhD Candidate
Human-Centered Robotics Lab
Department of Computer Science

About

Brian Reily is a PhD candidate with the Department of Computer Science, working for the Human-Centered Robotics Lab.  His research interests are human-robot teaming, multi-robot systems, and collaborative multi-sensory perception.

Education

  • MS in Computer Science, Colorado School of Mines, 2016
  • BA in Computer Science, University of Virginia, 2009

Publications

  • Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams. Brian Reily, Christopher Reardon, and Hao Zhang.  International Conference on Robotics and Automation (ICRA), 2020.
  • Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition. Brian Reily, Qingzhao Zhu, Christopher Reardon, and Hao Zhang.  International Conference on Robotics and Automation (ICRA), 2020.
  • Visual Reference of Ambiguous Objects for Augmented Reality-Powered Human-Robot Communication in a Shared Workspace. Peng Gao, Brian Reily, Savannah Paul, and Hao Zhang.  International Conference on Virtual, Augmented, and Mixed Reality (VAMR), 2020.
  • Graph Embedding for the Division of Robotic Swarms. Brian Reily, Christopher Reardon, and Hao Zhang.  2nd Robot Teammates Operating in Dynamic, Unstructured Environments (RT-DUNE) Workshop, International Conference on Robotics and Automation (ICRA), 2019.
  • Activity Recognition by Learning from Human and Object Attributes. Brian Reily, Qingzhao Zhu, and Hao Zhang. 2nd Robot Teammates Operating in Dynamic, Unstructured Environments (RT-DUNE) Workshop, International Conference on Robotics and Automation (ICRA), 2019.
  • Skeleton-Based Bio-Inspired Human Activity Prediction for Real-Time Human–Robot Interaction. Brian Reily, Fei Han, Lynne Parker, and Hao Zhang.  Autonomous Robots (AuRo) vol. 42, pp. 1281-1298, 2018.
  • Space-time Representation of People Based on 3D Skeletal Data: A Review. Fei Han*, Brian Reily*, William Hoff, and Hao Zhang.  Computer Vision and Image Understanding (CVIU) vol. 158, pp. 85-105, 2017. *Equal Contribution.
  • Real-Time Gymnast Detection and Performance Analysis with a Portable 3D Camera. Brian Reily, Hao Zhang, and William Hoff.  Computer Vision and Image Understanding (CVIU) vol. 159, pp. 154-163, 2017.
  • Human Activity Recognition and Gymnastics Analysis through Depth Imagery. Brian Reily.  Thesis, Colorado School of Mines, 2016.

 

Contact

Brown Hall 333
Colorado School of Mines
Golden, CO 80401

breily@gmail.com

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