12 citations · 15 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
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…
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…