2024
- Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community
Casey Kennington, Malihe Alikhani, Heather Pon-Barry, …, Raj Korpan, et al.
arXiv preprint arXiv:2404.01158, 2024 - 3rd Workshop on Inclusive HRI: Equity and Diversity in Design, Application, Methods, and Community
Raj Korpan, Amy Eguchi, Zhao Han, Anastasia K. Ostrowski, Sindhu Ravindranath, and Ana Tanevska
ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2024 - Towards a Participatory and Social Justice-Oriented Measure of Human-Robot Trust
Raj Korpan
HRI Workshop on Trust in Human-Robot Interaction, 2024
2023
- Voice in the Machine: Ethical Considerations for Language-Capable Robots
Tom Williams, Cynthia Matuszek, Kristiina Jokinen, Raj Korpan, James Pustejovsky, and Brian Scassellati
Communications of the ACM, 2023 - Queer In AI: A Case Study in Community-Led Participatory AI (Best Paper Award)
Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, …, Raj Korpan, et al.
ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2023 - VBMO: Voting-Based Multi-Objective Path Planning
Raj Korpan
IJCAI First International Workshop on Search and Planning with Complex Objectives (WoSePCO), 2023 - Trust in Queer Human-Robot Interaction
Raj Korpan
RO-MAN Workshop on Trust, Acceptance and Social Cues in Human-Robot Interaction (SCRITA), 2023 - Inclusive HRI II: Equity and Diversity in Design, Application, Methods, and Community
Ana Tanevska, Shruti Chandra, Giulia Barbareschi, Amy Eguchi, Zhao Han, Raj Korpan, Anastasia K. Ostrowski, Giulia Perugia, Sindhu Ravindranath, Katie Seaborn, and Katie Winkle
ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2023
2021
- Hierarchical Freespace Planning for Navigation in Unfamiliar Worlds
Raj Korpan, and Susan L. Epstein
31st International Conference on Automated Planning and Scheduling (ICAPS), 2021 - Plan Explanations that Exploit a Cognitive Spatial Model
Raj Korpan, and Susan L. Epstein
ACL-IJCNLP Second International Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics, 2021 - Contrastive Natural Language Explanations for Multi-Objective Path Planning
Raj Korpan, and Susan L. Epstein
ICAPS International Workshop of Explainable AI PLanning (XAIP), 2021
2020
- Metareasoning and Path Planning for Autonomous Indoor Navigation
Susan L. Epstein, and Raj Korpan
ICAPS Workshop on Integrated Execution (IntEx) / Goal Reasoning (GR), 2020 - Deliberate Exploration Supports Navigation in Unfamiliar Worlds
Raj Korpan, and Susan L. Epstein
arXiv preprint arXiv:2007.00798, 2020
2019
- Planning and Explanations with a Learned Spatial Model
Susan L. Epstein, and Raj Korpan
Conference on Spatial Information Theory (COSIT), 2019
2018
- Online Learning for Crowd-sensitive Path Planning (Best Robotics Paper Award Nominee)
Anoop Aroor, Susan L. Epstein, and Raj Korpan
17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018 - Toward Natural Explanations for a Robot’s Navigation Plans
Raj Korpan, and Susan L. Epstein
HRI Workshop on Explainable Robotic Systems, 2018
2017
- WHY: Natural Explanations from a Robot Navigator
Raj Korpan, Susan L. Epstein, Anoop Aroor, and Gil Dekel
AAAI Fall Symposium on Natural Communication for Human-Robot Collaboration, 2017 - MengeROS: A Crowd Simulation Tool for Autonomous Robot Navigation
Anoop Aroor, Susan L. Epstein, and Raj Korpan
AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction, 2017
Dissertation and other projects
- Metareasoning, Opportunisitic Exploration, and Explanations for Autonomous Indoor Navigation
Raj Korpan
Dissertation, 2021 - Learning Situated-Decision Strategies for Collaborative Navigation
Raj Korpan
Thesis Proposal, 2018 - Metaheuristics and Cognitive Models for Autonomous Robot Navigation
Raj Korpan
Second Exam Survey Paper (a literature review submitted in partial fulfillment of the requirements for the PhD in Computer Science at the Graduate Center), 2017
