Susan L. Epstein

(she/her)

Professor of Computer Science

Education

BA in mathematics, Smith College

MS in mathematics, Courant Institute, New York University

MS in computer science, Rutgers Univerity

PhD in computer science, Rutgers University

Publications

Way finding and robotics

Zhang, Zhiao, Epstein, S.L., Breen, C., Zhu, Z., Volkmann, C. (2023) Robots in the Garden: Artificial Intelligence and Adaptive Landscapes Journal of Digital Landscape Architecture. Journal of Digital Landscape Architecture Award 2023 for Scientific Excellence

R. Korpan and Epstein, S. L. 2021. Hierarchical Freespace Planning for Navigation in Unfamiliar Worlds. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS 2021). (Vol. 31, pp. 663-672)

R. Korpan and Epstein, S. L. Plan Explanations that Exploit a Cognitive Spatial Model. In Proceedings of the Second International Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics (ACL-IJCNLP 2021).

Epstein, S. L. and R. Korpan 2020. Metareasoning and Path Planning for Autonomous Indoor Navigation. In Proceedings of the ICAPS 2020 Workshop on Integrated Execution (IntEx) / Goal Reasoning (GR).

Epstein, S. L. and R. Korpan 2019. Planning and Communication with a Learned Spatial Model. In Proceedings of 14th International Conference on Spatial Information Theory (COSIT 2019).

Aroor, A., S. L. Epstein and R. Korpan 2018. Online learning for crowd-sensitive planning. In Proceedings of AAMAS-2018, Stockholm. Nominated for best robotics paper.

Korpan, R. and S. L. Epstein 2018. Toward Natural Explanations for a Robot’s Navigation Plans. In Proceedings of the Workshop on Explainable Robot Systems, HRI-2018, Chicago, IL.

Aroor, A. and S. L. Epstein 2017. Toward Crowd-Sensitive Path Planning. In Proceedings of AAAI Fall Symposium on Human-Agent Groups: Studies, Algorithms, and Challenges, Arlington, VA, AAAI.

Aroor, A., S. L. Epstein and R. Korpan 2017. MengeROS: A Crowd Simulation Tool for Autonomous Robot Navigation. In Proceedings of AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction, Arlington, VA, AAAI.

Korpan, R., S. L. Epstein, A. Aroor and G. Dekel 2017. WHY: Natural Explanations from a Robot Navigator. In Proceedings of AAAI Fall Symposium on Natural Communication for Human-Robot Collaboration, Arlington, VA.

Epstein, S. L. 2017. Navigation, Cognitive Spatial Models, and the Mind. In Proceedings of AAAI Fall Symposium on A Standard Model of the Mind, Arlington, VA, AAAI.

Epstein, S.L., Aroor, A., Evanusa, M., Sklar, E.I., Simon, S. Navigation with Learned Spatial Affordances (2015). In Proceedings of CogSci 2015. Pasadena, CA.

Epstein, S.L., A. Aroor, M. Evanusa, E. Sklar, and S. Parsons (2015). Learning Spatial Models for Navigation, In Proceedings of the Conference on Spatial Information Theory (COSIT 2015).

Epstein, S.L., A. Aroor, M. Evanusa, E.I. Sklar, and S. Parsons (2015). Spatial Abstraction for Autonomous Robot Navigation. Cognitive Processing.

Ozgelen, A. T., E. Schneider, E. Sklar, M. Costantino, S. Epstein and S. Parsons (2013). A first step towards testing multiagent coordination mechanisms on mutirobot teams. In Proceedings of AAMAS Workshop on Autonomous Robots and Multirobot Systems, Springer Verlag.

Sklar, E., S. Parsons, S. L. Epstein, A. T. Ozgelen, J. P. Munoz, F. Abbasi, E. Schneider and M. Costantino 2012. Learning to Avoid Collisions. In Proceedings of AAAI Fall Symposium on Robots Learning Interactively from Human Teachers.

Ozgelen, A. T., E. Schneider, M. Costantino, J. P. Munoz, S. L. Epstein, S. Parsons and E. I. Sklar 2012. On Transfer from Multiagent to Multi-Robot Systems. In Proceedings of Autonomous Robots and Multirobot Systems (ARMS 2012)..

Epstein, S., E. Schneider, A. T. Ozgelen, J. P. Munoz, M. Costantineo, E. I. Sklar and S. Parsons (2012). Applying FORR to human/multi-robot teams. In Human-Agent-Robot Teamwork Workshop at 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2012)..

Sklar, E., Ozgelen, A. T., Munoz, J. P., Gonzalez, J., Manashirov, M., Epstein, S. L., et al. (2011). Designing the HRTeam Framework: Lessons Learned from a Rough-‘N-Ready Human/Multi-Robot Team. In Proceeding of the Autonomous Robots and Multirobot Systems Workshop.

Sklar, E. I., S. L. Epstein, S. Parsons, A. T. Ozgelen and J. P. Munoz 2011. A framework in which robots and humans help each other. In Proceeding of AAAI Symposium Help Me Help You: Bridging the Gaps in Human-Agent Collaboration. Palo Alto.

Sklar, E., S. Parsons, S. L. Epstein, A. T. Ozgelen, G. Rabanca, S. Anzaroo, J. Gonzalez, J. Lopez, M. Lustig, L. Ma, M. Manashiro, J. P. Munoz, S. B. Salazar and M. Schwartz (2010). Developing a Framework for Team-based Robotics Research. In Proceedings of AAAI 2010 Robotics Exhibition and Workshop..

Epstein, S. L. (1998). Pragmatic Navigation: Reactivity, Heuristics, and Search. Artificial Intelligence, 100 (1-2): 275-322.

Epstein, S. L. (1997). Representation and Reasoning for Pragmatic Navigation. In Proceedings of the AAAI Workshop on Spatial and Temporal Reasoning, Providence: AAAI.

Epstein, S. L. (1997). Spatial Representation for Pragmatic Navigation. In Proceedings of the Conference on Spatial Information Theory – COSIT ’97, 373-388. Laurel Highlands, PA: Springer Verlag. Winner of the prize for best paper.

Epstein, S. L. (1996). Spatial Representation for Pragmatic Navigation. In Proceedings of the AAAI Spring Symposium on Spatial Reasoning, Stanford, CA: AAAI.

Epstein, S. L. (1995). On Heuristic Reasoning, Reactivity, and Search. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 454-461. Montreal: Morgan Kaufmann.

Cognitive science

Epstein, S.L., 2022. Playing for More than the Win, In Proceedings of the AAAI Fall 2022 Symposium on Thinking Fast and Slow and Other Cognitive Theories in AI.

Epstein, S.L. 2021. Freespace Supports Metacognition for Navigation. In Proceedings of MetacogNeurIPS-2021.

Problem solving, learning, and constraints

Natural language processing

Bioinformatics

Game playing and machine learning

Design

Discovery in mathematics

Computer science curricula

Eaton, E. and Epstein, S.L., Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges. In Proceedings of EAAI-2024.

Kumar, A., Anderson, M.D., Becker, B.A., Pias, M., Oudshoom, M., Jalote, P., Servin, C. Aly, S.G., Blumenthal, R.L., Epstein, S.L. (2023) A Combined Knowledge and Competency (CKC) Model for Computer Science Curricula. ACM Inroads, 14(3):22-29.

Other topics