Inferring Higher-Order Affordances for more Natural Human-Robot Collaboration. - Vasanth Sarathy (HRI, 2016)

Beyond grasping - perceiving affordances across various stages of cognitive development. - Vasanth Sarathy; Matthias Scheutz (ICDL-EPIROB, 2016)

Cognitive Affordance Representations in Uncertain Logic. - Vasanth Sarathy; Matthias Scheutz (KR, 2016)

Enabling Basic Normative HRI in a Cognitive Robotic Architecture. - Vasanth Sarathy; Jason R. Wilson; Thomas Arnold 001; Matthias Scheutz (CoRR, 2016)

Learning behavioral norms in uncertain and changing contexts. - Vasanth Sarathy; Matthias Scheutz; Bertram F. Malle (CogInfoCom, 2017)

Mental Representations and Computational Modeling of Context-Specific Human Norm Systems. - Vasanth Sarathy; Matthias Scheutz; Yoed N. Kenett; Mowafak Allaham; Joseph L. Austerweil; Bertram F. Malle (CogSci, 2017)

The MacGyver Test - A Framework for Evaluating Machine Resourcefulness and Creative Problem Solving. - Vasanth Sarathy; Matthias Scheutz (CoRR, 2017)

A Generalized Framework for Detecting Anomalies in Real-Time Using Contextual Information. - Evana Gizzi; Lisa Le Vie; Matthias Scheutz; Vasanth Sarathy; Jivko Sinapov (MRC@IJCAI, 2018)

Quasi-Dilemmas for Artificial Moral Agents. - Daniel Kasenberg; Vasanth Sarathy; Thomas Arnold 001; Matthias Scheutz; Tom Williams 001 (CoRR, 2018)

A Logic-Based Computational Framework for Inferring Cognitive Affordances. - Vasanth Sarathy; Matthias Scheutz (IEEE Trans. Cogn. Dev. Syst., 2018)

On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse. - Vasanth Sarathy; Matthias Scheutz (AAAI, 2019)

Toward the Engineering of Virtuous Machines. - Naveen Sundar Govindarajulu; Selmer Bringsjord; Rikhiya Ghosh; Vasanth Sarathy (AIES, 2019)

Learning Context-Sensitive Norms under Uncertainty. - Vasanth Sarathy (AIES, 2019)

When Exceptions Are the Norm: Exploring the Role of Consent in HRI. - Vasanth Sarathy; Thomas Arnold 001; Matthias Scheutz (ACM Trans. Hum. Robot Interact., 2019)

Reasoning Requirements for Indirect Speech Act Interpretation. - Vasanth Sarathy; Alexander Tsuetaki; Antonio Roque; Matthias Scheutz (COLING, 2020)

Developing a Corpus of Indirect Speech Act Schemas. - Antonio Roque; Alexander Tsuetaki; Vasanth Sarathy; Matthias Scheutz (LREC, 2020)

A Novelty-Centric Agent Architecture for Changing Worlds. - Muhammad Faizan; Vasanth Sarathy; Gyan Tatiya; Shivam Goel; Saurav Gyawali; Mateo Guaman Castro; Jivko Sinapov; Matthias Scheutz (AAMAS, 2021)

SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. - Vasanth Sarathy; Daniel Kasenberg; Shivam Goel; Jivko Sinapov; Matthias Scheutz (AAMAS, 2021)

BIPLEX: Creative Problem-Solving by Planning for Experimentation. - Vasanth Sarathy; Matthias Scheutz (ICCC, 2022)

RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments. - Shivam Goel; Yash Shukla; Vasanth Sarathy; Matthias Scheutz; Jivko Sinapov (ICDL, 2022)

Cultural Value Resonance in Folktales: A Transformer-Based Analysis with the World Value Corpus. - Noam Benkler; Scott Friedman 001; Sonja Schmer-Galunder; Drisana Mosaphir; Vasanth Sarathy; Pavan Kantharaju; Matthew D. McLure; Robert P. Goldman (SBP-BRiMS, 2022)

From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach. - Scott E. Friedman; Ian H. Magnusson; Vasanth Sarathy; Sonja Schmer-Galunder (CoRR, 2022)

Mapping a Plurality of Explanations with NLP: A Case Study of Mothers and Health Workers in India. - Scott E. Friedman; Sonja Schmer-Galunder; Vasanth Sarathy; Ruta Wheelock; Matthew D. McLure; Drisana Mosaphir; Robert P. Goldman; Noam Benkler; Pavan Kantharaju; Micah B. Goldwater; Cristine H. Legare (CogSci, 2023)

LgTS: Dynamic Task Sampling using LLM-generated Sub-Goals for Reinforcement Learning Agents. - Yash Shukla; Wenchang Gao; Vasanth Sarathy; Alvaro Velasquez; Robert Wright; Jivko Sinapov (AAMAS, 2024)

Recognizing Value Resonance with Resonance-Tuned RoBERTa Task Definition, Experimental Validation, and Robust Modeling. - Noam K. Benkler; Scott Friedman 001; Sonja Schmer-Galunder; Drisana Marissa Mosaphir; Robert P. Goldman; Ruta Wheelock; Vasanth Sarathy; Pavan Kantharaju; Matthew D. McLure (LREC/COLING, 2024)

Large Language Models Know What To Say But Not When To Speak. - Muhammad Umair; Vasanth Sarathy; Jan Peter de Ruiter (EMNLP (Findings), 2024)

Towards Human-Robot Co-creative Collaboration Through Interactive Task Dialogue. - Hong Lu; Jingwen Feng; Emma Bethel; Vasanth Sarathy; Elaine Short; Matthias Scheutz (ICSR + AI (2), 2024)

"Let's Argue Both Sides": Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities. - Kaveh Eskandari Miandoab; Vasanth Sarathy (CoRR, 2024)

Large Language Models Know What To Say But Not When To Speak. - Muhammad Umair; Vasanth Sarathy; Jp de Ruiter (CoRR, 2024)

Analogical Reasoning Within a Conceptual Hyperspace. - Howard Goldowsky; Vasanth Sarathy (CoRR, 2024)

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools. - Panagiotis Lymperopoulos; Vasanth Sarathy (AAMAS, 2025)