papers

Publications (13)

cs.RO2020

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…

quant-ph2019

Hybrid plasmonic waveguide coupling of photons from a single molecule

Samuele Grandi, Michael P. Nielsen, Javier Cambiasso +7

We demonstrate the emission of photons from a single molecule into a hybrid gap plasmon waveguide (HGPW). Crystals of anthracene, doped with dibenzoterrylene (DBT), are grown on to…

cs.RO2016

Self-Reflective Risk-Aware Artificial Cognitive Modeling for Robot Response to Human Behaviors

Fei Han, Christopher Reardon, Lynne E. Parker +1

In order for cooperative robots ("co-robots") to respond to human behaviors accurately and efficiently in human-robot collaboration, interpretation of human actions, awareness of n…

cs.RO2024

Towards Human-Robot Teaming through Augmented Reality and Gaze-Based Attention Control

Yousra Shleibik, Elijah Alabi, Christopher Reardon

Robots are now increasingly integrated into various real world applications and domains. In these new domains, robots are mostly employed to improve, in some ways, the work done by…

cs.CV2020

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…

quant-ph2013

Integrated spatial multiplexing of heralded single photon sources

Matthew J. Collins, Chunle Xiong, Isabella H. Rey +8

The non-deterministic nature of photon sources is a key limitation for single photon quantum processors. Spatial multiplexing overcomes this by enhancing the heralded single photon…

cs.RO2023

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…

cs.RO2019

Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control

Jason M. Gregory, Christopher Reardon, Kevin Lee +3

Human-robot teaming offers great potential because of the opportunities to combine strengths of heterogeneous agents. However, one of the critical challenges in realizing an effect…

cond-mat.mes-hall2017

Effect of Notch Structure on Magnetic Domain Movement in Planar Nanowires

Hua Ling, Junlin Wang, Xianyang Lu +8

We present the direct observation of magnetic domain motion in permalloy nanowires with notches using a wide-field Kerr microscopy technique. The domain wall motion can be modulate…

cs.RO2025

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…

cs.RO2024

EVOLVE: Emotion and Visual Output Learning via LLM Evaluation

Jordan Sinclair, Christopher Reardon

Human acceptance of social robots is greatly effected by empathy and perceived understanding. This necessitates accurate and flexible responses to various input data from the user.…

cs.RO2025

Coordinated Multi-Robot Navigation with Formation Adaptation

Zihao Deng, Peng Gao, Williard Joshua Jose +4

Coordinated multi-robot navigation is an essential ability for a team of robots operating in diverse environments. Robot teams often need to maintain specific formations, such as w…

cs.CV2017

Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors

Fei Han, Xue Yang, Christopher Reardon +2

Robot awareness of human actions is an essential research problem in robotics with many important real-world applications, including human-robot collaboration and teaming. Over the…