Angelique.
Angelique.
I am
Angelique
TayloR,Ph.d.
ABOUT
ME!
Angelique Taylor is an Assistant Professor at Cornell Tech in the Information Science Department with a field membership in Computer Science. She directs the Artificial Intelligence & Robotics (AIR) Lab, which focuses on research in the field of human-robot interaction (HRI).
Angelique's work is at the intersection of robotics, computer vision, and artificial intelligence. Her research lab designs intelligent systems that work alongside groups of people in real-world, safety-critical environments. These systems are realized through community engagement with stakeholders to design multi-robot, robot vision, and AR/VR systems.
Before joining Cornell, she was a Visiting Research Scientist at Meta Reality Labs Research. She received her Ph.D. in Computer Science and Engineering from the University of California San Diego in 2021, B.S. in Electrical Engineering and Computer Engineering from the University of Missouri-Columbia in 2015, and her A.S. in Engineering Science from Saint Louis Community College in 2012.
Angelique has received the NSF GRFP, Microsoft Dissertation Award, the Google Anita Borg Memorial Fellowship, the Arthur J. Schmitt Presidential Fellowship, a GEM Fellowship, and an award from the National Center for Women in Information Technology (NCWIT) as well as Best Paper Honorable Mention at CSCW 2019 and Best Paper Award at HRI 2022.
[Nov 2021]: Paper accepted to HRI 2022!
[March 2022]: presented REGROUP at HRI 2022!
[July 2022]: Start appointment at Cornell Tech!
RECENT NEWS
2022
2022
2022
2021
2021
2021
2021
[Oct 2021]: Presented SafeDQN aT Facebook AI Organization!
[Nov 2021]: Accepted Job Offer at Cornell Tech!!
2022
[June 2021]: Successfully defended my dissertation!!
PUBLICATIONS
Taylor, A. and Riek, L.D. (2022)
REGROUP: A Robot-Centric Group Detection and Tracking System.
In Proc. of the 17th Annual ACM/IEEE Conference on Human Robot Interaction (HRI). [Acceptance rate: 24.8%]
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%][Video]
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
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., Murakami, M., Kim, S., Chu, R., and Riek, L.D. (2022)
Hospitals of the Future: Designing Interactive Robotic Systems for Resilient Emergency Departments.
In Proc. of the ACM Conference on Computer Supported Collaborative Work (CSCW) [Acceptance rate: <30%]
Taylor, A., Matsumoto, S., Xiao, W., and Riek, L.D. (2021)
Social Navigation for Mobile Robots in the Emergency Department.
In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2021. [Acceptance Rate: 48%]
Taylor, A., Chan, D., and Riek, L.D. (2020)
Robot-Centric Perception of Human Groups.
ACM Transactions on Human-Robot Interaction (THRI), 2020.
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.
PROJECTS
Hospitals of the Future: Designing Interactive Robotic Systems for Resilient Emergency Departments
The Emergency Department (ED) is a stressful, safety-critical environment, which is overcrowded, noisy, chaotic, and understaffed. The built environment plays a key role in patient outcomes, experiences, and the mental health of healthcare workers (HCWs). However, once a space is built it is difficult to change it; so the modularity and adaptability of new technologies such as robots could potentially help stakeholders mitigate some of these challenges; yet, there is a lack of research in this area, particularly in the ED. In this paper, we address this gap by engaging HCWs in a research-through-design process, utilizing design fiction, to envision a future resilient ED. Here, robots scurry along the ceiling, provide help at the bedside, and smart furniture and walls provide spaces for privacy and calm. We co-created design prototypes of future intelligent systems that can modify the built environment to support resilience, which we then used to co-create a Design Catalog with HCWs, which contains a collection of future technology prototypes contextualized within the ED. We found that HCWs envisioned many ways for intelligent systems to help them reimagine the built environment, including ways to enhance HCW-patient communication, improve patient experience, support both HCW and patient safety, and use reconfigurable spaces to support privacy. We hope our work inspires further exploration into using new technologies to reimagine and reconfigure the built environment to support resilient hospitals. [PDF][Design Catalog]
All Videos
ACKNOWLEDGEMENTS
I am thankful to have the support of the National Science Foundation Graduate Research Fellowship (NSF GRFP), Arthur J. Schmitt Presidential Fellowship, GEM National Consortium, Google Anita Borg Memorial Scholarship, National Center for Women in IT (NCWIT), Microsoft Research Dissertation Grant, and the Grace Hopper Celebration of Women in Computing (GHC) Scholarship.
