activity
20162020
most citedSimultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors

1 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO20201 cited

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…

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…

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…

cs.CV20171 cited

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…

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…