Assessing the Performance of Macromolecular Sequence Classifiers. - Cornelia Caragea; Jivko Sinapov; Vasant G. Honavar; Drena Dobbs (BIBE, 2007)

Glycosylation site prediction using ensembles of Support Vector Machine classifiers. - Cornelia Caragea; Jivko Sinapov; Adrian Silvescu; Drena Dobbs; Vasant G. Honavar (BMC Bioinform., 2007)

Toward Autonomous Learning of an Ontology of Tool Affordances by a Robot. - Jivko Sinapov; Alexander Stoytchev (AAAI, 2008)

Using Global Sequence Similarity to Enhance Biological Sequence Labeling. - Cornelia Caragea; Jivko Sinapov; Drena Dobbs; Vasant G. Honavar (BIBM, 2008)

Interactive learning of the acoustic properties of household objects. - Jivko Sinapov; Mark Wiemer; Alexander Stoytchev (ICRA, 2009)

Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling. - Cornelia Caragea; Jivko Sinapov; Drena Dobbs; Vasant G. Honavar (BMC Bioinform., 2009)

The Boosting Effect of Exploratory Behaviors. - Jivko Sinapov; Alexander Stoytchev (AAAI, 2010)

The odd one out task: Toward an intelligence test for robots. - Jivko Sinapov; Alexander Stoytchev (ICDL, 2010)

Learning to press doorbell buttons. - Vladimir Sukhoy; Jivko Sinapov; Liping Wu; Alexander Stoytchev (ICDL, 2010)

How to separate containers from non-containers? a behavior-grounded approach to acoustic object categorization. - Shane Griffith; Jivko Sinapov; Vladimir Sukhoy; Alexander Stoytchev (ICRA, 2010)

Object category recognition by a humanoid robot using behavior-grounded relational learning. - Jivko Sinapov; Alexander Stoytchev (ICRA, 2011)

Interactive object recognition using proprioceptive and auditory feedback. - Jivko Sinapov; Taylor Bergquist; Connor Schenck; Ugonna Ohiri; Shane Griffith; Alexander Stoytchev (Int. J. Robotics Res., 2011)

Vibrotactile Recognition and Categorization of Surfaces by a Humanoid Robot. - Jivko Sinapov; Vladimir Sukhoy; Ritika Sahai; Alexander Stoytchev (IEEE Trans. Robotics, 2011)

A Behavior-Grounded Approach to Forming Object Categories: Separating Containers From Noncontainers. - Shane Griffith; Jivko Sinapov; Vladimir Sukhoy; Alexander Stoytchev (IEEE Trans. Auton. Ment. Dev., 2012)

Grounded object individuation by a humanoid robot. - Jivko Sinapov; Alexander Stoytchev (ICRA, 2013)

Learning relational object categories using behavioral exploration and multimodal perception. - Jivko Sinapov; Connor Schenck; Alexander Stoytchev (ICRA, 2014)

Adaptive robotic tool use under variable grasps. - Heiko Hoffmann; Zhichao Chen; Darren Earl; Derek Mitchell; Behnam Salemi; Jivko Sinapov (Robotics Auton. Syst., 2014)

Grounding semantic categories in behavioral interactions: Experiments with 100 objects. - Jivko Sinapov; Connor Schenck; Kerrick Staley; Vladimir Sukhoy; Alexander Stoytchev (Robotics Auton. Syst., 2014)

Which Object Fits Best? Solving Matrix Completion Tasks with a Humanoid Robot. - Connor Schenck; Jivko Sinapov; David Johnston; Alexander Stoytchev (IEEE Trans. Auton. Ment. Dev., 2014)

Learning Inter-Task Transferability in the Absence of Target Task Samples. - Jivko Sinapov; Sanmit Narvekar; Matteo Leonetti; Peter Stone 001 (AAMAS, 2015)

Robot-Centric Activity Recognition 'in the Wild'. - Ilaria Gori; Jivko Sinapov; Priyanka Khante; Peter Stone 001; J. K. Aggarwal (ICSR, 2015)

Using ConceptGrid as an easy authoring technique to check natural language responses. - Stephen Blessing; Shrenik Devasani; Stephen B. Gilbert; Jivko Sinapov (Int. J. Learn. Technol., 2015)

Source Task Creation for Curriculum Learning. - Sanmit Narvekar; Jivko Sinapov; Matteo Leonetti; Peter Stone 001 (AAMAS, 2016)

Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors. - Jivko Sinapov; Priyanka Khante; Maxwell Svetlik; Peter Stone 001 (IJCAI, 2016)

Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". - Jesse Thomason; Jivko Sinapov; Maxwell Svetlik; Peter Stone 001; Raymond J. Mooney (IJCAI, 2016)

Automatic Curriculum Graph Generation for Reinforcement Learning Agents. - Maxwell Svetlik; Matteo Leonetti; Jivko Sinapov; Rishi Shah; Nick Walker 001; Peter Stone 001 (AAAI, 2017)

Guiding Interaction Behaviors for Multi-modal Grounded Language Learning. - Jesse Thomason; Jivko Sinapov; Raymond J. Mooney (RoboNLP@ACL, 2017)

Opportunistic Active Learning for Grounding Natural Language Descriptions. - Jesse Thomason; Aishwarya Padmakumar; Jivko Sinapov; Justin W. Hart; Peter Stone 001; Raymond J. Mooney (CoRL, 2017)

CC-Log: Drastically Reducing Storage Requirements for Robots Using Classification and Compression. - Santiago Gonzalez; Vijay Chidambaram; Jivko Sinapov; Peter Stone 001 (HotStorage, 2017)

Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning. - Sanmit Narvekar; Jivko Sinapov; Peter Stone 001 (IJCAI, 2017)

Reports on the 2017 AAAI Spring Symposium Series. - Jeannette Bohg; Xavier Boix; Nancy Chang; Elizabeth F. Churchill; Vivian Chu; Fei Fang 001; Jerome Feldman; Avelino J. Gonzalez; Takashi Kido; William F. Lawless; José L. Montaña; Santiago Ontañón; et al. (AI Mag., 2017)

BWIBots: A platform for bridging the gap between AI and human-robot interaction research. - Piyush Khandelwal; Shiqi Zhang 001; Jivko Sinapov; Matteo Leonetti; Jesse Thomason; Fangkai Yang; Ilaria Gori; Maxwell Svetlik; Priyanka Khante; Vladimir Lifschitz; J. K. Aggarwal; Raymond J. Mooney; et al. (Int. J. Robotics Res., 2017)

Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. - Jesse Thomason; Jivko Sinapov; Raymond J. Mooney; Peter Stone 001 (AAAI, 2018)

Robot Behavioral Exploration and Multi-modal Perception using Dynamically Constructed Controllers. - Saeid Amiri; Suhua Wei; Shiqi Zhang 001; Jivko Sinapov; Jesse Thomason; Peter Stone 001 (AAAI Spring Symposia, 2018)

Multi-modal Predicate Identification using Dynamically Learned Robot Controllers. - Saeid Amiri; Suhua Wei; Shiqi Zhang 001; Jivko Sinapov; Jesse Thomason; Peter Stone 001 (IJCAI, 2018)

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)

Passive Demonstrations of Light-Based Robot Signals for Improved Human Interpretability. - Rolando Fernandez; Nathan John; Sean Kirmani; Justin W. Hart; Jivko Sinapov; Peter Stone 001 (RO-MAN, 2018)

Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. - Justin W. Hart; Harel Yedidsion; Yuqian Jiang; Nick Walker 001; Rishi Shah; Jesse Thomason; Aishwarya Padmakumar; Rolando Fernandez; Jivko Sinapov; Raymond J. Mooney; Peter Stone 001 (CoRR, 2018)

Creating a Shared Reality with Robots. - Muhammad Faizan; Hassan Amel; Andre Cleaver; Jivko Sinapov (HRI, 2019)

Creative Problem Solving by Robots Using Action Primitive Discovery. - Evana Gizzi; Mateo Guaman Castro; Jivko Sinapov (ICDL-EPIROB, 2019)

Sensorimotor Cross-Behavior Knowledge Transfer for Grounded Category Recognition. - Gyan Tatiya; Ramtin Hosseini; Michael C. Hughes; Jivko Sinapov (ICDL-EPIROB, 2019)

Deep Multi-Sensory Object Category Recognition Using Interactive Behavioral Exploration. - Gyan Tatiya; Jivko Sinapov (ICRA, 2019)

Improving Grounded Natural Language Understanding through Human-Robot Dialog. - Jesse Thomason; Aishwarya Padmakumar; Jivko Sinapov; Nick Walker 001; Yuqian Jiang; Harel Yedidsion; Justin W. Hart; Peter Stone 001; Raymond J. Mooney (ICRA, 2019)

Proceedings of the AI-HRI Symposium at AAAI-FSS 2019. - Justin W. Hart; Nick DePalma; Richard G. Freedman; Luca Iocchi; Matteo Leonetti; Katrin S. Lohan; Ross Mead; Emmanuel Senft; Jivko Sinapov; Elin Anna Topp; Tom Williams 001 (CoRR, 2019)

From Computational Creativity to Creative Problem Solving Agents. - Evana Gizzi; Lakshmi Nair 001; Jivko Sinapov; Sonia Chernova (ICCC, 2020)

Haptic Knowledge Transfer Between Heterogeneous Robots using Kernel Manifold Alignment. - Gyan Tatiya; Yash Shukla; Michael Edegware; Jivko Sinapov (IROS, 2020)

Proceedings of the AI-HRI Symposium at AAAI-FSS 2020. - Shelly Bagchi; Jason R. Wilson; Muneeb Imtiaz Ahmad; Christian Dondrup; Zhao Han; Justin W. Hart; Matteo Leonetti; Katrin S. Lohan; Ross Mead; Emmanuel Senft; Jivko Sinapov; Megan L. Zimmerman (CoRR, 2020)

HAVEN: A Unity-based Virtual Robot Environment to Showcase HRI-based Augmented Reality. - Andre Cleaver; Darren Tang; Victoria Chen; Jivko Sinapov (CoRR, 2020)

SENSAR: A Visual Tool for Intelligent Robots for Collaborative Human-Robot Interaction. - Andre Cleaver; Muhammad Faizan; Hassan Amel; Elaine Short; Jivko Sinapov (CoRR, 2020)

A Framework for Sensorimotor Cross-Perception and Cross-Behavior Knowledge Transfer for Object Categorization. - Gyan Tatiya; Ramtin Hosseini; Michael C. Hughes; Jivko Sinapov (Frontiers Robotics AI, 2020)

Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog. - Jesse Thomason; Aishwarya Padmakumar; Jivko Sinapov; Nick Walker 001; Yuqian Jiang; Harel Yedidsion; Justin W. Hart; Peter Stone 001; Raymond J. Mooney (J. Artif. Intell. Res., 2020)

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. - Sanmit Narvekar; Bei Peng 001; Matteo Leonetti; Jivko Sinapov; Matthew E. Taylor; Peter Stone 001 (J. Mach. Learn. Res., 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)

Dynamic Path Visualization for Human-Robot Collaboration. - Andre Cleaver; Darren Vincent Tang; Victoria Chen; Elaine Schaertl Short; Jivko Sinapov (HRI (Companion), 2021)

Toward Creative Problem Solving Agents: Action Discovery through Behavior Babbling. - Evana Gizzi; Hassan Amel; Wo Wei Lin; Keenan Rhea; Jivko Sinapov (ICDL, 2021)

A Framework for Multisensory Foresight for Embodied Agents. - Xiaohui Chen; Ramtin Hosseini; Karen Panetta; Jivko Sinapov (ICRA, 2021)

An Interactive Robot Platform for Introducing Reinforcement Learning to K-12 Students. - Ziyi Zhang; Sara Willner-Giwerc; Jivko Sinapov; Jennifer L. Cross; Chris Rogers (RiE, 2021)

Planning Multimodal Exploratory Actions for Online Robot Attribute Learning. - Xiaohan Zhang 002; Jivko Sinapov; Shiqi Zhang 001 (Robotics: Science and Systems, 2021)

AI-HRI 2021 Proceedings. - Reuth Mirsky; Megan Zimmerman; Muneed Ahmad; Shelly Bagchi; Felix Gervits; Zhao Han; Justin W. Hart; Daniel Hernández García; Matteo Leonetti; Ross Mead; Emmanuel Senft; Jivko Sinapov; et al. (CoRR, 2021)

An Augmented Reality Platform for Introducing Reinforcement Learning to K-12 Students with Robots. - Ziyi Zhang; Samuel Micah Akai-Nettey; Adonai Addo; Chris Rogers; Jivko Sinapov (CoRR, 2021)

ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments. - Yash Shukla; Christopher Thierauf; Ramtin Hosseini; Gyan Tatiya; Jivko Sinapov (AAMAS, 2022)

Toward Life-Long Creative Problem Solving: Using World Models for Increased Performance in Novelty Resolution. - Evana Gizzi; Wo Wei Lin; Mateo Guaman Castro; Ethan Harvey; Jivko Sinapov (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)

Knowledge-driven Scene Priors for Semantic Audio-Visual Embodied Navigation. - Gyan Tatiya; Jonathan Francis; Luca Bondi; Ingrid Navarro; Eric Nyberg; Jivko Sinapov; Jean Oh (CoRR, 2022)

Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework. - Evana Gizzi; Lakshmi Nair 001; Sonia Chernova; Jivko Sinapov (J. Artif. Intell. Res., 2022)

Automaton-Guided Curriculum Generation for Reinforcement Learning Agents. - Yash Shukla; Abhishek Kulkarni; Robert Wright; Alvaro Velasquez; Jivko Sinapov (ICAPS, 2023)

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. - Tung Thai; Mudit Verma; Utkarsh Soni; Sriram Gopalakrishnan; Ming Shen; Mayank Garg; Ayush Kalani; Nakul Vaidya; Neeraj Varshney; Chitta Baral; Subbarao Kambhampati; Jivko Sinapov; et al. (AAMAS, 2023)

Demonstrating TRAinAR: An Augmented Reality Tool that Helps Humans Teach Robots. - Andre Cleaver; Jivko Sinapov (HRI (Companion), 2023)

Transferring Implicit Knowledge of Non-Visual Object Properties Across Heterogeneous Robot Morphologies. - Gyan Tatiya; Jonathan Francis; Jivko Sinapov (ICRA, 2023)

Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract). - Evana Gizzi; Lakshmi Nair 001; Sonia Chernova; Jivko Sinapov (IJCAI, 2023)

A Framework for Few-Shot Policy Transfer Through Observation Mapping and Behavior Cloning. - Yash Shukla; Bharat Kesari; Shivam Goel; Robert Wright; Jivko Sinapov (IROS, 2023)

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. - Tung Thai; Ming Shen; Mayank Garg; Ayush Kalani; Nakul Vaidya; Utkarsh Soni; Mudit Verma; Sriram Gopalakrishnan; Chitta Baral; Subbarao Kambhampati; Jivko Sinapov; Matthias Scheutz (CoRR, 2023)

Cross-Tool and Cross-Behavior Perceptual Knowledge Transfer for Grounded Object Recognition. - Gyan Tatiya; Jonathan Francis; Jivko Sinapov (CoRR, 2023)

MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Perception. - Gyan Tatiya; Jonathan Francis; Ho-Hsiang Wu; Yonatan Bisk; Jivko Sinapov (CoRR, 2023)

Multimodal embodied attribute learning by robots for object-centric action policies. - Xiaohan Zhang 002; Saeid Amiri; Jivko Sinapov; Jesse Thomason; Peter Stone 001; Shiqi Zhang 001 (Auton. Robots, 2023)

NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds. - Shivam Goel; Yichen Wei; Panagiotis Lymperopoulos; Klára Churá; Matthias Scheutz; Jivko Sinapov (AAMAS, 2024)

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)

Creative Problem Solving in Large Language and Vision Models - What Would it Take? - Lakshmi Nair 001; Evana Gizzi; Jivko Sinapov (EMNLP (Findings), 2024)

Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents. - Yash Shukla; Tanushree Burman; Abhishek Kulkarni; Robert Wright; Alvaro Velasquez; Jivko Sinapov (ICAPS, 2024)

MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception. - Gyan Tatiya; Jonathan Francis; Ho-Hsiang Wu; Yonatan Bisk; Jivko Sinapov (ICRA, 2024)

Enhancing Users' Predictions of Robotic Pouring Behaviors Using Augmented Reality: A Case Study. - Andre Cleaver; Reuben M. Aronson; Jivko Sinapov (RO-MAN, 2024)

A neurosymbolic cognitive architecture framework for handling novelties in open worlds. - Shivam Goel; Panagiotis Lymperopoulos; Ravenna Thielstrom; Evan A. Krause; Patrick Feeney; Pierrick Lorang; Sarah Schneider; Yichen Wei; Eric J. Kildebeck; Stephen A. Goss; Michael C. Hughes; Li-Ping Liu 001; et al. (Artif. Intell., 2024)

NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds. - Shivam Goel; Yichen Wei; Panagiotis Lymperopoulos; Matthias Scheutz; Jivko Sinapov (CoRR, 2024)

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. - Casey Kennington; Malihe Alikhani; Heather Pon-Barry; Katherine Atwell; Yonatan Bisk; Daniel Fried; Felix Gervits; Zhao Han; Mert Inan; Michael Johnston; Raj Korpan; Diane J. Litman; et al. (CoRR, 2024)

Introduction to the Special Issue on Artificial Intelligence for Human-Robot Interaction (AI-HRI). - Jivko Sinapov; Zhao Han; Shelly Bagchi; Muneeb Imtiaz Ahmad; Matteo Leonetti; Ross Mead; Reuth Mirsky; Emmanuel Senft (ACM Trans. Hum. Robot Interact., 2024)

Smart Motor: A Low-Cost Hardware and Software Toolkit for Introducing Supervised Machine Learning to Elementary School Students. - Tanushree Burman; Milan Dahal; Geling Xu; Chris Rogers; Jennifer L. Cross; Jivko Sinapov (AAAI, 2025)

OnAIR: Applications of the NASA On-Board Artificial Intelligence Research Platform. - Evana Gizzi; Timothy Chase Jr.; Christian Cassamajor-Paul; Rachael Chertok; Lily Clough; Connor Firth; Alan Gibson; Ibrahim Haroon; James Marshall; Patrick Maynard; Michael Monaghan; Hayley Owens; et al. (AAAI, 2025)

FLEX: A Framework for Learning Robot-Agnostic Force-based Skills Involving Sustained Contact Object Manipulation. - Shijie Fang; Wenchang Gao; Shivam Goel; Christopher Thierauf; Matthias Scheutz; Jivko Sinapov (CoRR, 2025)

Mapping Neural Signals to Agent Performance, A Step Towards Reinforcement Learning from Neural Feedback. - Julia Santaniello; Matthew Russell; Benson Jiang; Donatello Sassaroli; Robert J. K. Jacob; Jivko Sinapov (CoRR, 2025)