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Christopher M. Reardon
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2020 – today
- 2023
- [c26]Brian Reily, Aaron Kraft, Mario A. Lopez, Christopher M. Reardon:
Defensive Configuration for Multi-Agent Perimeter Monitoring. MRS 2023: 135-141 - [i6]Peng Gao, Ahmed Jaafar, Brian Reily, Christopher M. Reardon, Hao Zhang:
Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction. CoRR abs/2312.13655 (2023) - 2022
- [c25]Brian Reily, Caden Coniff, John G. Rogers, Christopher M. Reardon:
Disruption of Connectivity Graphs in Uncertain Multi-Agent Systems. COINS 2022: 1-6 - 2021
- [j6]Maxim Pavliv, Fabrizio Schiano
, Christopher M. Reardon
, Dario Floreano
, Giuseppe Loianno
:
Tracking and Relative Localization of Drone Swarms With a Vision-Based Headset. IEEE Robotics Autom. Lett. 6(2): 1455-1462 (2021) - [c24]Brian Reily, Michael Don
, John G. Rogers, Christopher M. Reardon:
Role Discovery in Observed Multi-Agent Systems Over Time through Matrix Factorization. MRS 2021: 66-74 - [c23]Christopher M. Reardon, Kerstin Sophie Haring
, Jason M. Gregory, John G. Rogers:
Evaluating Human Understanding of a Mixed Reality Interface for Autonomous Robot-Based Change Detection. SSRR 2021: 132-137 - [c22]Brian Reily, John G. Rogers, Christopher M. Reardon:
Balancing Mission and Comprehensibility in Multi-Robot Systems for Disaster Response. SSRR 2021: 146-151 - 2020
- [c21]Christopher M. Reardon, Jason Gregory, Carlos Nieto-Granda, John G. Rogers:
Enabling Situational Awareness via Augmented Reality of Autonomous Robot-Based Environmental Change Detection. HCI (10) 2020: 611-628 - [c20]Brian Reily, Christopher M. Reardon, Hao Zhang:
Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams. ICRA 2020: 5576-5582 - [c19]Brian Reily, Qingzhao Zhu, Christopher M. Reardon, Hao Zhang:
Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition. ICRA 2020: 8006-8012 - [c18]Brian Reily, Christopher M. Reardon, Hao Zhang:
Leading Multi-Agent Teams to Multiple Goals While Maintaining Communication. Robotics: Science and Systems 2020 - [i5]Brian Reily, Christopher M. Reardon, Hao Zhang:
Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams. CoRR abs/2003.12164 (2020) - [i4]Brian Reily, Qingzhao Zhu, Christopher M. Reardon, Hao Zhang:
Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition. CoRR abs/2004.03453 (2020)
2010 – 2019
- 2019
- [j5]Liangzhe Yuan
, Christopher M. Reardon
, Garrett Warnell
, Giuseppe Loianno
:
Human Gaze-Driven Spatial Tasking of an Autonomous MAV. IEEE Robotics Autom. Lett. 4(2): 1343-1350 (2019) - [j4]Christopher M. Reardon
, Hao Zhang, Rachel Wright, Lynne E. Parker
:
Robots Can Teach Students With Intellectual Disabilities: Educational Benefits of Using Robotic and Augmented Reality Applications. IEEE Robotics Autom. Mag. 26(2): 79-93 (2019) - [c17]Christopher M. Reardon, Kevin Lee, John G. Rogers III, Jonathan Fink:
Augmented Reality for Human-Robot Teaming in Field Environments. HCI (10) 2019: 79-92 - [c16]Christopher M. Reardon, Kevin Lee, John G. Rogers, Jonathan Fink:
Communicating via Augmented Reality for Human-Robot Teaming in Field Environments. SSRR 2019: 94-101 - [i3]Jason M. Gregory, Christopher M. Reardon, Kevin Lee, Geoffrey White, Ki Ng, Caitlyn Sims:
Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control. CoRR abs/1909.06415 (2019) - 2018
- [j3]Christopher M. Reardon, Hao Zhang, Jonathan Fink:
Shaping of Shared Autonomous Solutions With Minimal Interaction. Frontiers Neurorobotics 12: 54 (2018) - [c15]Kevin Lee, Christopher M. Reardon, Jonathan Fink:
Augmented Reality in Human-Robot Cooperative Search. SSRR 2018: 1 - [c14]Christopher M. Reardon, Kevin Lee, Jonathan Fink:
Come See This! Augmented Reality to Enable Human-Robot Cooperative Search. SSRR 2018: 1-7 - 2017
- [c13]Christopher Michael Reardon, Jonathan Fink:
Towards Joint Human-Robotic Solutions to Surveillance Problems. FLAIRS 2017: 472-476 - [c12]Fei Han, Christopher M. Reardon, Lynne E. Parker
, Hao Zhang:
Minimum uncertainty latent variable models for robot recognition of sequential human activities. ICRA 2017: 2592-2599 - [c11]Fei Han, Xue Yang, Christopher M. Reardon, Yu Zhang, Hao Zhang:
Simultaneous Feature and Body-Part Learning for real-time robot awareness of human behaviors. ICRA 2017: 2621-2628 - [c10]Christopher M. Reardon, Fei Han, Hao Zhang, Jonathan Fink:
Optimizing autonomous surveillance route solutions from minimal human-robot interaction. SSRR 2017: 208-215 - [i2]Fei Han, Xue Yang, Christopher M. Reardon, Yu Zhang, Hao Zhang:
Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors. CoRR abs/1702.07474 (2017) - 2016
- [c9]Christopher M. Reardon, Rachel Wright, David F. Cihak, Lynne E. Parker:
Intelligent Context-Aware Augmented Reality to Teach Students with Intellectual and Developmental Disabilities. FLAIRS 2016: 505-509 - [c8]Hao Zhang, Christopher M. Reardon, Fei Han, Lynne E. Parker
:
SRAC: Self-Reflective Risk-Aware Artificial Cognitive models for robot response to human activities. ICRA 2016: 3301-3308 - [c7]Christopher M. Reardon, Jonathan Fink:
Air-ground robot team surveillance of complex 3D environments. SSRR 2016: 320-327 - [i1]Fei Han, Christopher M. Reardon, Lynne E. Parker, Hao Zhang:
Self-Reflective Risk-Aware Artificial Cognitive Modeling for Robot Response to Human Behaviors. CoRR abs/1605.04934 (2016) - 2015
- [c6]Hao Zhang, Christopher M. Reardon, Chi Zhang, Lynne E. Parker
:
Adaptive human-centered representation for activity recognition of multiple individuals from 3D point cloud sequences. ICRA 2015: 1991-1998 - [c5]Christopher M. Reardon, Hao Zhang, Rachel Wright, Lynne E. Parker
:
Response prompting for intelligent robot instruction of students with intellectual disabilities. RO-MAN 2015: 784-790 - [c4]Christopher M. Reardon, Huan Tan, Balajee Kannan, Lynn A. DeRose:
Towards safe robot-human collaboration systems using human pose detection. TePRA 2015: 1-6 - 2014
- [c3]Hao Zhang, Wenjun Zhou
, Christopher M. Reardon, Lynne E. Parker
:
Simplex-Based 3D Spatio-temporal Feature Description for Action Recognition. CVPR 2014: 2067-2074 - 2013
- [j2]Bhanu Rekepalli, Paul Giblock, Christopher M. Reardon:
PoPLAR: Portal for Petascale Lifescience Applications and Research. BMC Bioinform. 14(S-9): S3 (2013) - [j1]Hao Zhang, Christopher M. Reardon, Lynne E. Parker
:
Real-Time Multiple Human Perception With Color-Depth Cameras on a Mobile Robot. IEEE Trans. Cybern. 43(5): 1429-1441 (2013)
2000 – 2009
- 2009
- [c2]Lynne E. Parker
, Christopher M. Reardon, Heeten Choxi, Cortney Bolden:
Using critical junctures and environmentally-dependent information for management of tightly-coupled cooperation in heterogeneous robot teams. ICRA 2009: 2729-2736 - 2003
- [c1]Lynne E. Parker, Ben Birch, Christopher M. Reardon:
Indoor target intercept using an acoustic sensor network and dual wavefront path planning. IROS 2003: 278-283
Coauthor Index
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