Angelique Taylor

According to our database, Angelique Taylor authored at least 28 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Generalized Nash Equilibrium-Seeking Scheme for Trauma Resuscitation.

Promise Ekpo, Angelique Taylor, Lekan P. Molu

CoRR, May, 2026

Towards Considerate Human-Robot Coexistence: A Dual-Space Framework of Robot Design and Human Perception in Healthcare.

Yuanchen Bai, Zijian Ding, Ruixiang Han, Niti Parikh, Wendy Ju, Angelique Taylor

CoRR, April, 2026

RFM-HRI : A Multimodal Dataset of Medical Robot Failure, User Reaction and Recovery Preferences for Item Retrieval Tasks.

Yashika Batra, Giuliano Pioldi, Promise Ekpo, Arman Sayatqyzy, Purnjay Maruur, Shalom Otieno, Kevin Ching, Angelique Taylor

CoRR, March, 2026

Designing Care-fully: Robots for Acute Cancer Care.

Sandhya Jayaraman, Pratyusha Ghosh, Soyon Kim, Soham Satyadharma, Angelique Taylor, Christopher Coyne, Laurel D. Riek

Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026

Robot-Assisted Medical Training for Safety-Critical Environments.

Huajie Jay Cao, Michael Joseph Sack, Lili Mkrtchyan, Kevin Ching, Tariq Iqbal, Hee Rin Lee, Angelique Taylor

Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026

Towards Considerate Embodied AI: Co-Designing Situated Multi-Site Healthcare Robots from Abstract Concepts to High-Fidelity Prototypes.

Yuanchen Bai, Ruixiang Han, Niti Parikh, Wendy Ju, Angelique Taylor

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Fair-GNE : Generalized Nash Equilibrium-Seeking Fairness in Multiagent Healthcare Automation.

Promise Ekpo, Saesha Agarwal, Felix Grimm, Lekan P. Molu, Angelique Taylor

CoRR, November, 2025

CARIS: A Context-Adaptable Robot Interface System for Personalized and Scalable Human-Robot Interaction.

Felipe Arias-Russi, Yuanchen Bai, Angelique Taylor

CoRR, September, 2025

Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare.

Promise Ekpo, Brian La, Thomas Wiener, Saesha Agarwal, Arshia Agrawal, Gonzalo Gonzalez-Pumariega, Lekan P. Molu, Angelique Taylor

CoRR, August, 2025

From MAS to MARS: Coordination Failures and Reasoning Trade-offs in Hierarchical Multi-Agent Robotic Systems within a Healthcare Scenario.

Yuanchen Bai, Zijian Ding, Shaoyue Wen, Xiang Chang, Angelique Taylor

CoRR, August, 2025

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context.

Yuanchen Bai, Zijian Ding, Angelique Taylor

CoRR, June, 2025

Co-Designing Augmented Reality Tools for High-Stakes Clinical Teamwork.

Angelique Taylor, Tauhid Tanjim, Huajie Cao, Jalynn Blu Nicoly, Jonathan I. Segal, Jonathan St. George, Soyon Kim, Kevin Ching, Francisco R. Ortega, Hee Rin Lee

CoRR, February, 2025

Help or Hindrance: Understanding the Impact of Robot Communication in Action Teams.

Tauhid Tanjim, Jonathan St. George, Kevin Ching, Angelique Taylor

Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication, 2025

Human-Robot Teaming Field Deployments: A Comparison Between Verbal and Non-verbal Communication.

Tauhid Tanjim, Promise Ekpo, Huajie Cao, Jonathan St. George, Kevin Ching, Hee Rin Lee, Angelique Taylor

Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication, 2025

Rapidly Built Medical Crash Cart! Lessons Learned and Impacts on High-Stakes Team Collaboration in the Emergency Room.

Angelique Taylor, Tauhid Tanjim, Michael Joseph Sack, Maia Hirsch, Kexin Cheng, Kevin Ching, Jonathan St. George, Thijs Roumen, Malte F. Jung, Hee Rin Lee

Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

2024

Personal Time-Lapse.

Nhan (Nathan) Tran, Ethan Yang, Angelique Taylor, Abe Davis

Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Real-Time Person Re-Identification to Improve Human-Robot Interaction.

Per Antoine Carlsen, Angelique M. Taylor, Darren M. Chan, Md. Zia Uddin, Laurel D. Riek, Jim Torresen

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2024

Towards Collaborative Crash Cart Robots that Support Clinical Teamwork.

Angelique Taylor, Tauhid Tanjim, Huajie Cao, Hee Rin Lee

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Robot Navigation in Risky, Crowded Environments: Understanding Human Preferences.

Aamodh Suresh, Angelique Taylor, Laurel D. Riek, Sonia Martínez

IEEE Robotics Autom. Lett., September, 2023

2022

Hospitals of the Future: Designing Interactive Robotic Systems for Resilient Emergency Departments.

Angelique Taylor, Michele Murakami, Soyon Kim, Ryan Chu, Laurel D. Riek

Proc. ACM Hum. Comput. Interact., 2022

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

Angelique Taylor, Laurel D. Riek

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

2021

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

Angelique Taylor

PhD thesis, 2021

Social Navigation for Mobile Robots in the Emergency Department.

Angelique M. Taylor, Sachiko Matsumoto, Wesley Xiao, Laurel D. Riek

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Robot-Centric Perception of Human Groups.

Angelique Taylor, Darren M. Chan, Laurel D. Riek

ACM Trans. Hum. Robot Interact., 2020

2019

Coordinating Clinical Teams: Using Robots to Empower Nurses to Stop the Line.

Angelique Taylor, Hee Rin Lee, Alyssa Kubota, Laurel D. Riek

Proc. ACM Hum. Comput. Interact., 2019

2017

Faster robot perception using Salient Depth Partitioning.

Darren M. Chan, Angelique Taylor, Laurel D. Riek

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

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

Angelique Taylor, Laurel D. Riek

Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2013

Mainstream media vs. social media for trending topic prediction - an experimental study.

Aleksandre Lobzhanidze, Wenjun Zeng, Paige Gentry, Angelique Taylor

Proceedings of the 10th IEEE Consumer Communications and Networking Conference, 2013