Select Projects

Multi-Robot Capability Tracking & Planning
Research

Designed a user interface to visualize information about multiple robots, enable users to specify multi-robot allocations on a map, and visualize generated robot navigation plans.

Overview Poster >
Capability-Level System for Tracking Robots
Research

Developed a visualization that displays a summary of the robot capabilities of a multi-robot system by dynamically tracking and reflecting on the status of components within a robot architecture.

Conference Paper >
Robot Control Challenges Faced by HRI Researchers & Teleoperators
Research

Interviewed HRI researchers to better understand the diversity of robot teleoperation needs across the HRI community.

Conference Paper >
Further Integrating Ethics into Computer Science Courses
Fellowship Project

Developed a resource for computer science (CS) educators that highlights the importance of including ethics-related discussion and activities within CS courses, and offers activities on how to further integrate ethics into CS.

Resource Link >
Storytelling Tech Literacy Game about Social Robots
Course Project

Designed and playtested a multiplayer interactive storytelling game that supports technology literacy about social robots.

Conference Paper >
Multi-Robot Identity & Speech Control
Research

Prototyped a user interface to enable the control of multiple robots’ speech and identity presentation in human-robot interaction. 

Late-Breaking Report >
Robot Group Identity Performance, Entitativity, & Trust Distribution
Research

Investigated how the identity presentation of a group of robots might influence the distribution of trust amongst group members and the perceived entitativity of the group.

Conference Paper >
Robot Group Identity Strategies & Mental Model Formation
Research

Explored how the identity presentation of a group of robots during an introduction might affect how human interactants mentally model the robots.

Conference Paper >
Counterfactuals in a Multi-Agent Domain
Research

Explored the use of counterfactuals in reinforcement learning to enhance the performance of agents within a simulated multi-agent rover domain.

Poster >

Contact

abejarano@vt.edu
Alexandra Bejarano

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