Angelique.
Angelique.
I am
Angelique
TayloR,Ph.d.
ABOUT
ME!
Angelique Taylor, Ph.D.
Andrew H. and Ann R. Tisch Assistant Professor, Cornell Tech
Information Science Department, Field membership in Computer Science
College of Computing & Information Science
Health Tech Hub, Cornell Tech ​​​
I direct the Artificial Intelligence & Robotics Lab (AIRLab), which focuses on research in the field of human-robot interaction (HRI). My research is at the intersection of robotics, computer vision, and artificial intelligence. AIRLab 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 develop robot vision and planning algorithms, and augmented reality systems that support multi-user interactions. I received my PhD from UC San Diego, advised by Laurel Riek.
I have received funding from the NSF Foundation Robotics Research program, Google Award for Inclusion Research, 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). Awards include Cornell Community-Engaged Practice & Innovation Award, Best Paper Honorable Mention at CSCW 2019, and Best Paper Award at HRI 2022.
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Visiting Research Scientist, Meta Reality Labs Research, (2021-22)
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Ph.D. Computer Science and Engineering, UC San Diego (2021)
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B.S. in Electrical Engineering, University of Missouri-Columbia (2015)
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B.S. in Computer Engineering, University of Missouri-Columbia (2015)
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A.S. in Engineering Science, Saint Louis Community College (2012)
Teaching
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[Spring 2025] Practical Applications in Machine Learning, Cornell Tech
[Fall 2024] Introduction to Human-Robot Interaction, Cornell Tech
[Spring 2024] Practical Applications in Machine Learning, Cornell Tech
[Spring 2023] Practical Applications in Machine Learning, Cornell Tech
[Fall 2022] Introduction to Human-Robot Interaction, Cornell Tech
AIRLab Recruitment: I am always looking for bright and motivated students and scholars with design, health sciences, robotics, engineering, machine learning, and/or computer and information science backgrounds to join the lab.
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If you are an interested prospective PhD student, include my name on your Cornell PhD application.
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Master's are encouraged to contact PhD students in the lab to seek collaborative research opportunities.​
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I may not reply to direct email requests. Apply online for inquiries on open positions.
[Nov 2023]: featured in the press titled, ‘Angelique Taylor Receives the Google Inclusion Research Award’
[March 2024]: Won Best paper award at HRI 2024!
[July 2024]: featured in the press titled, ‘Expanding Pathways into Tech: Angelique Taylor’s Journey’
RECENT NEWS
2024
2024
2022
2023
2023
2023
2023
[May 2023]: speaker at Data-Driven Urban Tech: How Machine Learning and Optimization Addresses Today’s Urban Challenges
[Nov 2023]: Won Google award for inclusion research
2023
[april 2023]: Guest Lecturer, Introduction to HRI Course, University of Virginia
PUBLICATIONS
Rapidly Built Medical Crash Cart! Lessons Learned and Impacts on High-Stakes Team Collaboration in the Emergency Room.
In Proc. of the 20th Annual ACM/IEEE Conference on Human Robot Interaction (HRI) [Acceptance rate: <25%] [PDF][GitHub][Tutorial Video][Supplemental Material]
Tran, N., Yang, E., Taylor, A., Davis, A. (2024)
Personal Time-Lapse.
UIST 2024: ACM Conference on User Interface Software and Technology [PDF][Project Page]
Suresh, A., Taylor, A., Riek, L.D., Martínez S. (2023)
Robot Navigation in Risky, Crowded Environments: Understanding Human Preferences
IEEE Robotics and Automation Letters, pp. 1-8, 10.1109/LRA.2023.3290533
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. (2021)
Human-Robot Teaming in Safety-Critical Environments: Perception of and Interaction with Groups.
University of California, San Diego [PDF]
Co-Designing Augmented Reality Tools for High-Stakes Clinical Teamwork.
arXiv.2502.17295[PDF]
Carlsen, P.A., Taylor, A. Chan, D.M., Uddin, M.Z., Riek, L.D., Torresen, J. (2024)
Real-Time Person Re-Identification to Improve Human-Robot Interaction.
In Proc. of the IEEE International Conference on Real-time Computing and Robotics [PDF]
Taylor, A., Tanjim, T., Cau, H, Lee, H. (2024)
Towards Collaborative Crash Cart Robots that Support Clinical Teamwork.
In Proc. of the 19th Annual ACM/IEEE Conference on Human Robot Interaction (HRI). [Acceptance rate: 24.9%][PDF][Catalog]
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., 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., 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., Chan, D., and Riek, L.D. (2020)
Robot-Centric Perception of Human Groups.
ACM Transactions on Human-Robot Interaction (THRI), 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]
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 Perception of Social Engagement Using
Group Joint Action.
In Proc. of the 7th Annual Joint Action Meeting (JAM).
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. and Riek, L.D. (2016)
Robot Perception of Human Groups in the Real World: State of the Art
Taylor, A., Du, X., Chen, C., Zare, A. (2014)
Context Dependent Target Detection
Computational Intelligence Society Poster Competition, University of Missouri, Columbia.
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).
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]
ACKNOWLEDGEMENTS
I am thankful to have the support of Google, National Science Foundation Foundational Research in Robotics and 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.
