I am

Angelique.

Taylor

I am a PhD Candidate in the Healthcare Robotics Lab in the Computer Science and Engineering department at the University of California San Diego. I work under the direction of Dr. Laurel Riek. 

My research lies in the intersection of computer vision, robotics, healthcare, and artificial intelligence. My work aims to design algorithms that enable robots to interact and work with groups of people in safety-critical environments. I am also a National Science Foundation GRFP Fellow, Arthur J. Schmitt Presidential Fellow, GEM Fellow, Google Anita Borg Memorial Scholar, National Center for Women in Information Technology (NCWIT), Microsoft Dissertation Grant, and Grace Hopper Celebration of Women in Computing (GHC) Scholar. 

I received my BS in Electrical Engineering and Computer Engineering from the University of Missouri-Columbia in 2015 and my AS in Engineering Science from Saint Louis Community College in 2012.

PUBLICATIONS

Taylor, A., matsumoto, s., and Riek, L.D. (2020)

Situating Robots in the Emergency Department.

AAAI Spring Symposium on Applied AI in Healthcare: Safety, Community, and the Environment,  2020.

Taylor, A., Lee, H., Kubota, A., and Riek, L.D. (2019)

Coordinating Clinical Teams: Using Robots to empower nurses to Stop the Line.

*Best Paper Award Honorable mention (top 5% of submissions)* 

 Computer Supported Cooperative Work (CSCW), 2019.

[Acceptance Rate: 30%]

Taylor, A. and Riek, L.D. (2018).

Robot-Centric Human Group Detection.

In Proc. of Social Robots in the Wild, Workshop at the 13th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2018.

Taylor, A. and Riek, L.D. (2017)

Robot Perception of Social Engagement Using

Group Joint Action.

 In Proc. of the 7th Annual Joint Action Meeting (JAM).

 Taylor, A. and Riek, L.D. (2016)

 Robot Perception of Human Groups in the Real World: State of the Art

 In Proceedings of the AAAI Fall Symposium on Artificial Intelligence in Human-Robot Interaction (AI-HRI).

Lobzhanidze, A., Gentry, P., Taylor, A., Zeng, W., (2013)

Mainstream Media vs. Social Media for Trending Topic Prediction-An Experimental Study

IEEE Consumer Communications and Networking Conference (CCNC).

Taylor, A., Chan, D., and Riek, L.D. (2020)

Robot-Centric Perception of Human Groups.

 ACM Transactions on Human-Robot Interaction (THRI). In press,  2020.

Taylor, A. and Riek, L.D. (2019)

Group Perception Methods to Support Human-Robot Teaming

Southern California Robotics Symposium (SCR).

Chan, D., Taylor, A., and Riek, L.D. (2017)

Faster Robot Perception Using Salient Depth Partitioning

In Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Taylor, A. and Riek, L.D. (2017)

Robot Affiliation Perception for Social Interaction

In Proc. of Robots in Groups and Teams Workshop at CSCW 2017. pp. 1-4.

Taylor, A., Du, X., Chen, C., Zare, A. (2014) 

Context Dependent Target Detection

Computational Intelligence Society Poster Competition, University of Missouri, Columbia.

contact

Angelique Taylor

San Diego, CA 92092

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