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I am






Angelique Taylor

Assistant Professor, Cornell Tech

Information Science Department, Field membership in Computer Science

College of Computing & Information Science

  • Visiting Research Scientist, Meta Reality Labs Research, (2021-22)

  • Ph.D. Computer Science and Engineering, UC San Diego (2021)

  • B.S. in Electrical Engineering, University of Missouri-Columbia (2015)

  • B.S. in Computer Engineering, University of Missouri-Columbia (2015)

  • A.S. in Engineering Science, Saint Louis Community College (2012)


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 have received funding from 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 Best Paper Honorable Mention at CSCW 2019 and Best Paper Award at HRI 2022.


[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


[March 2024]: Won Best paper award at HRI 2024!

[July 2024]: featured in the press titled, ‘Expanding Pathways into Tech: Angelique Taylor’s Journey’



[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


[april 2023]: Guest Lecturer, Introduction to HRI Course,  University of Virginia


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%]

[PDF][Design Catalog]

Taylor, A. (2021)

Human-Robot Teaming in Safety-Critical Environments: Perception of and Interaction with Groups. 

University of California, San Diego [PDF]

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., Tanjim, T., Cau, H, Lee, H. (2024)

Towards Collaborative Crash Cart Robots that Support Clinical Teamwork. 

*Best Paper Nominee* 

In Proc. of the 19th Annual ACM/IEEE Conference on Human Robot Interaction (HRI). [Acceptance rate: 24.9%][PDF][Catalog]

Taylor, A. (2022)

AI Designed With Humans in Mind. 

Issues in Science and Technology. 38, no. 4, 93–95.

Taylor, A. and Riek, L.D. (2022)

REGROUP: A Robot-Centric Group Detection and Tracking System.

*Best Paper Award* 

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., Chan, D., and Riek, L.D. (2020)

Robot-Centric Perception of Human Groups.

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

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

Context Dependent Target Detection

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




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]

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Angelique Taylor, Ph.D.

2 W Loop Rd, New York, NY 10044

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