Search Results for author: Christopher Reardon

Found 6 papers, 0 papers with code

Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction

no code implementations21 Dec 2023 Peng Gao, Ahmed Jaafar, Brian Reily, Christopher Reardon, Hao Zhang

However, visual observations of an object may not be available when it is referred to, and the number of objects and attributes may also be unbounded in open worlds.

16k Attribute +3

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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