Search Results for author: Christopher Reardon

Found 5 papers, 0 papers with code

Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition

no code implementations26 Mar 2020 Brian Reily, Qingzhao Zhu, Christopher Reardon, Hao Zhang

Real-time human activity recognition plays an essential role in real-world human-centered robotics applications, such as assisted living and human-robot collaboration.

Human Activity Recognition

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

no code implementations13 Sep 2019 Jason M. Gregory, Christopher Reardon, Kevin Lee, Geoffrey White, Ki Ng, Caitlyn Sims

Human-robot teaming offers great potential because of the opportunities to combine strengths of heterogeneous agents.

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

no code implementations24 Feb 2017 Fei Han, Xue Yang, Christopher Reardon, Yu Zhang, Hao Zhang

We formulate FABL as a regression-like optimization problem with structured sparsity-inducing norms to model interrelationships of body parts and features.

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

no code implementations16 May 2016 Fei Han, Christopher Reardon, Lynne E. Parker, Hao Zhang

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 new situations, and appropriate decision making are all crucial abilities for co-robots.

Decision Making

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