Matthew C. Gombolay

177 papers A* 30A 9B 2C 3Misc 9Journal 102Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Better Than Diverse Demonstrators: Reward Decomposition From Suboptimal and Heterogeneous Demonstrations. IEEE Robotics Autom. Lett. Chunyue Xue, Letian Chen, Matthew C. Gombolay
2025	J	`jnl`	Bi-Directional Mental Model Reconciliation for Human-Robot Interaction with Large Language Models. CoRR Nina Moorman, Michelle Zhao, Matthew B. Luebbers, Sanne van Waveren, Reid G. Simmons, Henny Admoni, Sonia Chernova, Matthew C. Gombolay
2025	J	`jnl`	Compositional Instruction Following with Language Models and Reinforcement Learning. CoRR Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Raymond J. Mooney, Benjamin Rosman
2025	J	`jnl`	Deep domain adaptation eliminates costly data required for task-agnostic wearable robotic control. Sci. Robotics Keaton Scherpereel, Matthew C. Gombolay, Max K. Shepherd, Carlos Carrasquillo, Omer T. Inan, Aaron J. Young
2025	A	`conf`	Diverse Heterogeneous Graph Conditioned Diffusion for Multi-Agent Teaming. AAMAS Luis Pimentel, Sean Ye, James Ellis Grant Pagan, Matthew C. Gombolay
2025	A*	`conf`	Generalized Behavior Learning from Diverse Demonstrations. ICLR Varshith Sreeramdass, Rohan R. Paleja, Letian Chen, Sanne van Waveren, Matthew C. Gombolay
2025	A*	`conf`	Generating CAD Code with Vision-Language Models for 3D Designs. ICLR Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Haider Zaidi, Megan Langwasser, Wei Xu, Matthew C. Gombolay
2025	J	`jnl`	Investigating strategies enabling novice users to teach plannable hierarchical tasks to robots. Int. J. Robotics Res. Nina Moorman, Aman Singh, Manisha Natarajan, Erin Hedlund-Botti, Mariah Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew C. Gombolay, Nakul Gopalan
2025	A*	`conf`	Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance. ICRA Kin Man Lee, Sean Ye, Qingyu Xiao, Zixuan Wu, Zulfiqar Zaidi, David B. D'Ambrosio, Pannag R. Sanketi, Matthew C. Gombolay
2025	A*	`conf`	Learning Dynamics of a Ball with Differentiable Factor Graph and Roto-Translational Invariant Representations. ICRA Qingyu Xiao, Zixuan Wu, Matthew C. Gombolay
2025	J	`jnl`	Learning Multi-Agent Coordination for Replenishment At Sea. IEEE Robotics Autom. Lett. Byeolyi Han, Minwoo Cho, Letian Chen, Rohan R. Paleja, Zixuan Wu, Sean Ye, Esmaeil Seraj, David Sidoti, Matthew C. Gombolay
2025	A*	`conf`	Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning. ICRA Zixuan Wu, Zulfiqar Zaidi, Adithya Patil, Qingyu Xiao, Matthew C. Gombolay
2025	J	`jnl`	Model-Agnostic Policy Explanations with Large Language Models. CoRR Zhang Xi-Jia, Yue Guo, Shufei Chen, Simon Stepputtis, Matthew C. Gombolay, Katia P. Sycara, Joseph Campbell
2025	J	`jnl`	Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. CoRR Mouad Abrini, Omri Abend, Dina M. Acklin, Henny Admoni, Gregor Aichinger, Nitay Alon, Zahra Ashktorab, Ashish Atreja, Moises Auron, Alexander Aufreiter, Raghav Awasthi, Soumya Banerjee, Joseph M. Barnby, Rhea Basappa, Severin Bergsmann, Djallel Bouneffouf, Patrick Callaghan, Marc Cavazza, Thierry Chaminade, Sonia Chernova, Mohamed Chetouani, Moumita Choudhury, Axel Cleeremans, Jacek B. Cywinski, Fabio Cuzzolin, Hokin Deng, N'yoma Diamond, Camilla Di Pasquasio, Guillaume Dumas, Max J. van Duijn, Mahapatra Dwarikanath, Qingying Gao, Ashok K. Goel, Rebecca Goldstein, Matthew C. Gombolay, Gabriel Enrique Gonzalez, Amar Halilovic, Tobias Halmdienst, Mahimul Islam, Julian Jara-Ettinger, Natalie Kastel, Renana Keydar, Ashish K. Khanna, Mahdi Khoramshahi, Jihyun Kim, MiHyeon Kim, YoungBin Kim, Senka Krivic, Nikita Krasnytskyi, Arun Kumar, JuneHyoung Kwon, Eunju Lee, Shane Lee, Peter R. Lewis, Xue Li, Yijiang Li, Michal Lewandowski, Nathan Lloyd, Matthew B. Luebbers, Dezhi Luo, Haiyun Lyu, Dwarikanath Mahapatra, Kamal Maheshwari, Mallika Mainali, Piyush Mathur, Patrick Mederitsch, Shuwa Miura, Manuel Preston de Miranda, Reuth Mirsky, Shreya Mishra, Nina Moorman, Katelyn Morrison, John Muchovej, Bernhard Nessler, Felix Nessler, Hieu Minh Jord Nguyen, Abby Ortego, Francis A. Papay, Antoine Pasquali, Hamed Rahimi, Charumathi Raghu, Amanda L. Royka, Stefan Sarkadi, Jaelle Scheuerman, Simon Schmid, Paul Schrater, Anik Sen, Zahra Sheikhbahaee, Ke Shi, Reid G. Simmons, Nishant Singh, Mason O. Smith, Ramira van der Meulen, Anthia Solaki, Haoran Sun, Viktor Szolga, Matthew E. Taylor, Travis Taylor, Sanne van Waveren, Juan David Vargas
2025	J	`jnl`	Towards Automated Semantic Interpretability in Reinforcement Learning via Vision-Language Models. CoRR Zhaoxin Li, Zhang Xi-Jia, Batuhan Altundas, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay
2025	J	`jnl`	Towards Balancing Preference and Performance through Adaptive Personalized Explainability. CoRR Andrew Silva, Pradyumna Tambwekar, Mariah Schrum, Matthew C. Gombolay
2025	J	`jnl`	Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization. CoRR Brandon Ho, Batuhan Altundas, Matthew C. Gombolay
2025	J	`jnl`	Use of Winsome Robots for Understanding Human Feedback (UWU). CoRR Jessica Eggers, Angela Dai, Matthew C. Gombolay
2025	J	`jnl`	Use of machine learning models to predict mechanical ventilation, ECMO, and mortality in COVID-19. Frontiers Artif. Intell. Nina Moorman, Erin Hedlund-Botti, Grace Gombolay, Matthew C. Gombolay
2024	J	`jnl`	Asynchronous Training of Mixed-Role Human Actors in a Partially-Observable Environment. CoRR Kimberlee Chestnut Chang, Reed Jensen, Rohan R. Paleja, Sam L. Polk, Robert Seater, Jackson Steilberg, Curran Schiefelbein, Melissa Scheldrup, Matthew C. Gombolay, Mabel D. Ramirez
2024	J	`jnl`	Compositional Instruction Following with Language Models and Reinforcement Learning. Trans. Mach. Learn. Res. Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Raymond Mooney, Benjamin Rosman
2024	J	`jnl`	Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games. J. Aerosp. Inf. Syst. Laura G. Strickland, Matthew C. Gombolay
2024	A*	`conf`	CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning. ICLR Tianyu Li, Hyunyoung Jung, Matthew C. Gombolay, Yong Kwon Cho, Sehoon Ha
2024	A*	`conf`	Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems. NeurIPS Rohan R. Paleja, Michael Munje, Kimberlee Chestnut Chang, Reed Jensen, Matthew C. Gombolay
2024	J	`jnl`	Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems. CoRR Rohan R. Paleja, Michael Munje, Kimberlee Chestnut Chang, Reed Jensen, Matthew C. Gombolay
2024	—	`conf`	Developing Design Guidelines for Older Adults with Robot Learning from Demonstration. Robotics: Science and Systems Erin Hedlund-Botti, Lakshmi Seelam, Chuxuan Yang, Nathaniel Belles, Zulfiqar Haider Zaidi, Matthew C. Gombolay
2024	J	`jnl`	Diffusion-Reinforcement Learning Hierarchical Motion Planning in Adversarial Multi-agent Games. CoRR Zixuan Wu, Sean Ye, Manisha Natarajan, Matthew C. Gombolay
2024	J	`jnl`	ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics. CoRR Letian Chen, Matthew C. Gombolay
2024	J	`jnl`	Editorial: Decision-making and planning for multi-agent systems. Frontiers Robotics AI Panagiotis Tsiotras, Matthew C. Gombolay, Jakob Foerster
2024	A	`conf`	Efficient Trajectory Forecasting and Generation with Conditional Flow Matching. IROS Sean Ye, Matthew C. Gombolay
2024	J	`jnl`	Efficient Trajectory Forecasting and Generation with Conditional Flow Matching. CoRR Sean Ye, Matthew C. Gombolay
2024	A*	`conf`	Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding. HRI Yue Yang, Letian Chen, Zulfiqar Zaidi, Sanne van Waveren, Arjun Krishna, Matthew C. Gombolay
2024	J	`jnl`	Faster Model Predictive Control via Self-Supervised Initialization Learning. CoRR Zhaoxin Li, Letian Chen, Rohan R. Paleja, Subramanya Nageshrao, Matthew C. Gombolay
2024	J	`jnl`	Generating CAD Code with Vision-Language Models for 3D Designs. CoRR Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Zaidi, Megan Langwasser, Wei Xu, Matthew C. Gombolay
2024	—	`conf`	HRI '24: Workshop on Aging in Place. HRI (Companion) Nina Marie Moorman, Michelle Zhao, Henny Admoni, Reid G. Simmons, Matthew C. Gombolay
2024	J	`jnl`	Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination. IEEE Trans. Robotics Esmaeil Seraj, Rohan R. Paleja, Luis Pimentel, Kin Man Lee, Zheyuan Wang, Daniel Martin, Matthew Sklar, John Z. Zhang, Zahi M. Kakish, Matthew C. Gombolay
2024	A*	`conf`	Human-Robot Alignment through Interactivity and Interpretability: Don't Assume a "Spherical Human". IJCAI Matthew C. Gombolay
2024	J	`jnl`	Interactive and Explainable Robot Learning: A Comprehensive Review. Found. Trends Robotics Esmaeil Seraj, Kin Man Lee, Zulfiqar Zaidi, Qingyu Xiao, Zhaoxin Li, Arthur Nascimento, Sanne van Waveren, Pradyumna Tambwekar, Rohan R. Paleja, Devleena Das, Matthew C. Gombolay
2024	J	`jnl`	Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance. CoRR Kin Man Lee, Sean Ye, Qingyu Xiao, Zixuan Wu, Zulfiqar Zaidi, David B. D'Ambrosio, Pannag R. Sanketi, Matthew C. Gombolay
2024	J	`jnl`	Learning Dynamics of a Ball with Differentiable Factor Graph and Roto-Translational Invariant Representations. CoRR Qingyu Xiao, Zixuan Wu, Matthew C. Gombolay
2024	J	`jnl`	Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning. CoRR Zixuan Wu, Zulfiqar Zaidi, Adithya Patil, Qingyu Xiao, Matthew C. Gombolay
2024	J	`jnl`	MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. IEEE Trans. Robotics Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best
2024	A	`conf`	Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation. AAMAS Manisha Natarajan, Chunyue Xue, Sanne van Waveren, Karen M. Feigh, Matthew C. Gombolay
2024	J	`jnl`	Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation. CoRR Manisha Natarajan, Chunyue Xue, Sanne van Waveren, Karen M. Feigh, Matthew C. Gombolay
2024	A*	`conf`	Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses. ICRA Qingyu Xiao, Zulfiqar Zaidi, Matthew C. Gombolay
2024	J	`jnl`	Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses. CoRR Qingyu Xiao, Zulfiqar Zaidi, Matthew C. Gombolay
2024	J	`jnl`	The Impact of Stress and Workload on Human Performance in Robot Teleoperation Tasks. IEEE Trans. Robotics Yi Ting Sam, Erin Hedlund-Botti, Manisha Natarajan, Jamison Heard, Matthew C. Gombolay
2024	A*	`conf`	Towards Balancing Preference and Performance through Adaptive Personalized Explainability. HRI Andrew Silva, Pradyumna Tambwekar, Mariah Schrum, Matthew C. Gombolay
2024	J	`jnl`	Towards reconciling usability and usefulness of policy explanations for sequential decision-making systems. Frontiers Robotics AI Pradyumna Tambwekar, Matthew C. Gombolay
2024	J	`jnl`	Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks. Int. J. Hum. Comput. Stud. Lakshita Dodeja, Pradyumna Tambwekar, Erin Hedlund-Botti, Matthew C. Gombolay
2024	J	`jnl`	Trust and Dependence on Robotic Decision Support. IEEE Trans. Robotics Manisha Natarajan, Matthew C. Gombolay
2023	—	`conf`	A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting. EMNLP (Findings) Pradyumna Tambwekar, Lakshita Dodeja, Nathan Vaska, Wei Xu, Matthew C. Gombolay
2023	J	`jnl`	Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment. CoRR Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay
2023	—	`conf`	Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment. MRS Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay
2023	J	`jnl`	Athletic Mobile Manipulator System for Robotic Wheelchair Tennis. IEEE Robotics Autom. Lett. Zulfiqar Zaidi, Daniel Martin, Nathaniel Belles, Viacheslav Zakharov, Arjun Krishna, Kin Man Lee, Peter Wagstaff, Sumedh Naik, Matthew Sklar, Sugju Choi, Yoshiki Kakehi, Ruturaj Patil, Divya Mallemadugula, Florian Pesce, Peter Wilson, Wendell Hom, Matan Diamond, Bryan Zhao, Nina Moorman, Rohan R. Paleja, Letian Chen, Esmaeil Seraj, Matthew C. Gombolay
2023	J	`jnl`	Concerning Trends in Likert Scale Usage in Human-robot Interaction: Towards Improving Best Practices. ACM Trans. Hum. Robot Interact. Mariah Schrum, Muyleng Ghuy, Erin Hedlund-Botti, Manisha Natarajan, Michael J. Johnson, Matthew C. Gombolay
2023	J	`jnl`	CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning. CoRR Tianyu Li, Hyunyoung Jung, Matthew C. Gombolay, Yong Kwon Cho, Sehoon Ha
2023	Misc	`conf`	DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation. CoRL Sravan Jayanthi, Letian Chen, Nadya Balabanska, Van Duong, Erik Scarlatescu, Ezra Ameperosa, Zulfiqar Haider Zaidi, Daniel Martin, Taylor Keith Del Matto, Masahiro Ono, Matthew C. Gombolay
2023	J	`jnl`	Diffusion Based Multi-Agent Adversarial Tracking. CoRR Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay
2023	—	`conf`	Diffusion Models for Multi-target Adversarial Tracking. MRS Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay
2023	J	`jnl`	Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction. Int. J. Hum. Comput. Interact. Andrew Silva, Mariah Schrum, Erin Hedlund-Botti, Nakul Gopalan, Matthew C. Gombolay
2023	—	`conf`	FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. EACL (Findings) Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
2023	J	`jnl`	From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues. AIS Trans. Hum. Comput. Interact. Lina Zhou, Cynthia Rudin, Matthew C. Gombolay, Jim Spohrer, Michelle Zhou, Souren Paul
2023	Misc	`conf`	Hijacking Robot Teams Through Adversarial Communication. CoRL Zixuan Wu, Sean Charles Ye, Byeolyi Han, Matthew C. Gombolay
2023	A*	`conf`	Impacts of Robot Learning on User Attitude and Behavior. HRI Nina Moorman, Erin Hedlund-Botti, Mariah Schrum, Manisha Natarajan, Matthew C. Gombolay
2023	J	`jnl`	Interpretable Reinforcement Learning for Robotics and Continuous Control. CoRR Rohan R. Paleja, Letian Chen, Yaru Niu, Andrew Silva, Zhaoxin Li, Songan Zhang, Chace Ritchie, Sugju Choi, Kimberlee Chestnut Chang, Hongtei Eric Tseng, Yan Wang, Subramanya Nageshrao, Matthew C. Gombolay
2023	—	`conf`	Investigating Learning from Demonstration in Imperfect and Real World Scenarios. HRI (Companion) Erin Hedlund-Botti, Matthew C. Gombolay
2023	—	`conf`	Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction. Robotics: Science and Systems Nina M. Moorman, Nakul Gopalan, Aman Singh, Erin Botti, Mariah Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew C. Gombolay
2023	J	`jnl`	Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation. CoRR Batuhan Altundas, Zheyuan Wang, Joshua Bishop, Matthew C. Gombolay
2023	A	`conf`	Learning Models of Adversarial Agent Behavior Under Partial Observability. IROS Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay
2023	J	`jnl`	Learning Models of Adversarial Agent Behavior under Partial Observability. CoRR Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay
2023	J	`jnl`	MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. CoRR Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best
2023	A*	`conf`	Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams. NeurIPS Esmaeil Seraj, Jerry Xiong, Mariah Schrum, Matthew C. Gombolay
2023	J	`jnl`	Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees. IEEE Robotics Autom. Lett. Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
2023	A*	`conf`	The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration. HRI Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi, Rohan R. Paleja, Letian Chen, Erin Hedlund-Botti, Mariah Schrum, Matthew C. Gombolay
2023	J	`jnl`	The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration. CoRR Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi, Rohan R. Paleja, Letian Chen, Erin Hedlund-Botti, Mariah Schrum, Matthew C. Gombolay
2023	J	`jnl`	Towards Reconciling Usability and Usefulness of Explainable AI Methodologies. CoRR Pradyumna Tambwekar, Matthew C. Gombolay
2023	J	`jnl`	Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks. CoRR Lakshita Dodeja, Pradyumna Tambwekar, Erin Hedlund-Botti, Matthew C. Gombolay
2023	—	`conf`	Using Digital Biomarkers for Objective Assessment of Perfusionists' Workload and Acute Stress During Cardiac Surgery. IWBBIO (1) Roger D. Dias, Lauren R. Kennedy-Metz, Srey Rithy, Geoffrey Rance, Mahdi Ebnali, David Arney, Matthew C. Gombolay, Marco A. Zenati
2022	J	`jnl`	A Hierarchical Coordination Framework for Joint Perception-Action Tasks in Composite Robot Teams. IEEE Trans. Robotics Esmaeil Seraj, Letian Chen, Matthew C. Gombolay
2022	Misc	`conf`	Assessing Team Situational Awareness in the Operating Room via Computer Vision. CogSIMA Roger D. Dias, Lauren R. Kennedy-Metz, Steven J. Yule, Matthew C. Gombolay, Marco A. Zenati
2022	J	`jnl`	Athletic Mobile Manipulator System for Robotic Wheelchair Tennis. CoRR Zulfiqar Zaidi, Daniel Martin, Nathaniel Belles, Viacheslav Zakharov, Arjun Krishna, Kin Man Lee, Peter Wagstaff, Sumedh Naik, Matthew Sklar, Sugju Choi, Yoshiki Kakehi, Ruturaj Patil, Divya Mallemadugula, Florian Pesce, Peter Wilson, Wendell Hom, Matan Diamond, Bryan Zhao, Nina Moorman, Rohan R. Paleja, Letian Chen, Esmaeil Seraj, Matthew C. Gombolay
2022	J	`jnl`	Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play. CoRR Pradyumna Tambwekar, Nathan Vaska, Lakshita Dodeja, Matthew C. Gombolay
2022	Misc	`conf`	Contrastive Decision Transformers. CoRL Sachin G. Konan, Esmaeil Seraj, Matthew C. Gombolay
2022	J	`jnl`	Coordinating Human-Robot Teams with Dynamic and Stochastic Task Proficiencies. ACM Trans. Hum. Robot Interact. Ruisen Liu, Manisha Natarajan, Matthew C. Gombolay
2022	A	`conf`	Cross-Loss Influence Functions to Explain Deep Network Representations. AISTATS Andrew Silva, Rohit Chopra, Matthew C. Gombolay
2022	J	`jnl`	Do People Trust Robots that Learn in the Home? CoRR Nina Moorman, Matthew C. Gombolay
2022	Misc	`conf`	Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations. CoRL Letian Chen, Sravan Jayanthi, Rohan R. Paleja, Daniel Martin, Viacheslav Zakharov, Matthew C. Gombolay
2022	J	`jnl`	Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations. CoRR Letian Chen, Sravan Jayanthi, Rohan R. Paleja, Daniel Martin, Viacheslav Zakharov, Matthew C. Gombolay
2022	J	`jnl`	FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. CoRR Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
2022	J	`jnl`	Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraints. Auton. Robots Zheyuan Wang, Chen Liu, Matthew C. Gombolay
2022	A*	`conf`	Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming. ICLR Sachin G. Konan, Esmaeil Seraj, Matthew C. Gombolay
2022	J	`jnl`	Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming. CoRR Sachin Konan, Esmaeil Seraj, Matthew C. Gombolay
2022	J	`jnl`	LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation. IEEE Robotics Autom. Lett. Andrew Silva, Nina Moorman, William Silva, Zulfiqar Zaidi, Nakul Gopalan, Matthew C. Gombolay
2022	A	`conf`	Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation. IROS Batuhan Altundas, Zheyuan Wang, Joshua Bishop, Matthew C. Gombolay
2022	A	`conf`	Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming. AAMAS Esmaeil Seraj, Zheyuan Wang, Rohan R. Paleja, Daniel Martin, Matthew Sklar, Anirudh Patel, Matthew C. Gombolay
2022	J	`jnl`	Learning Efficient Exploration through Human Seeded Rapidly-exploring Random Trees. CoRR Max Zuo, Logan Schick, Matthew C. Gombolay, Nakul Gopalan
2022	—	`conf`	Learning Interpretable, High-Performing Policies for Autonomous Driving. Robotics: Science and Systems Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay
2022	J	`jnl`	Learning Interpretable, High-Performing Policies for Continuous Control Problems. CoRR Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay
2022	A*	`conf`	MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning. HRI Mariah L. Schrum, Erin Hedlund-Botti, Nina Moorman, Matthew C. Gombolay
2022	A*	`conf`	Machine Learning in Human-Robot Collaboration: Bridging the Gap. HRI Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis
2022	J	`jnl`	Meta-Active Learning in Probabilistically Safe Optimization. IEEE Robotics Autom. Lett. Mariah Schrum, Mark J. Connolly, Eric R. Cole, Mihir Ghetiya, Robert E. Gross, Matthew C. Gombolay
2022	J	`jnl`	Multi-UAV Planning for Cooperative Wildfire Coverage and Tracking with Quality-of-Service Guarantees. CoRR Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay
2022	J	`jnl`	Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees. Auton. Agents Multi Agent Syst. Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay
2022	—	`conf`	Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions. Robotics: Science and Systems Nakul Gopalan, Nina Moorman, Manisha Natarajan, Matthew C. Gombolay
2022	A*	`conf`	Personalized Meta-Learning for Domain Agnostic Learning from Demonstration. HRI Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay
2022	Misc	`conf`	Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching. CoRL Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay
2022	—	`conf`	Robots Enact Malignant Stereotypes. FAccT Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay
2022	J	`jnl`	Robots Enact Malignant Stereotypes. CoRR Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay
2022	J	`jnl`	Safe Inverse Reinforcement Learning via Control Barrier Function. CoRR Yue Yang, Letian Chen, Matthew C. Gombolay
2022	A*	`conf`	Stochastic Resource Optimization over Heterogeneous Graph Neural Networks for Failure-Predictive Maintenance Scheduling. ICAPS Zheyuan Wang, Matthew C. Gombolay
2022	J	`jnl`	Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration. CoRR Sravan Jayanthi, Letian Chen, Matthew C. Gombolay
2022	J	`jnl`	The Utility of Explainable AI in Ad Hoc Human-Machine Teaming. CoRR Rohan R. Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, Matthew C. Gombolay
2022	J	`jnl`	Using machine learning to predict perfusionists' critical decision-making during cardiac surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Roger D. Dias, Marco A. Zenati, Geoffrey Rance, Srey Rithy, David Arney, Letian Chen, Rohan R. Paleja, Lauren R. Kennedy-Metz, Matthew C. Gombolay
2022	J	`jnl`	Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis. CoRR Arjun Krishna, Zulfiqar Zaidi, Letian Chen, Rohan R. Paleja, Esmaeil Seraj, Matthew C. Gombolay
2021	Misc	`conf`	"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer. CoRL Andrew Hundt, Aditya Murali, Priyanka Hubli, Ran Liu, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager
2021	C	`conf`	Adaptive Leader-Follower Control for Multi-Robot Teams with Uncertain Network Structure. ACC Esmaeil Seraj, Vahid Azimi, Chaouki T. Abdallah, Seth Hutchinson, Matthew C. Gombolay
2021	A*	`conf`	Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy. HRI Mariah L. Schrum, Glen Neville, Michael J. Johnson, Nina Moorman, Rohan R. Paleja, Karen M. Feigh, Matthew C. Gombolay
2021	A*	`conf`	Encoding Human Domain Knowledge to Warm Start Reinforcement Learning. AAAI Andrew Silva, Matthew C. Gombolay
2021	Misc	`conf`	Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions. CoRL Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager
2021	J	`jnl`	Heterogeneous Graph Attention Networks for Learning Diverse Communication. CoRR Esmaeil Seraj, Zheyuan Wang, Rohan R. Paleja, Matthew Sklar, Anirudh Patel, Matthew C. Gombolay
2021	J	`jnl`	Improving Robot-Centric Learning from Demonstration via Personalized Embeddings. CoRR Mariah L. Schrum, Erin Hedlund, Matthew C. Gombolay
2021	J	`jnl`	Interpretable Policy Specification and Synthesis through Natural Language and RL. CoRR Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
2021	J	`jnl`	Learning to Follow Language Instructions with Compositional Policies. CoRR Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Benjamin Rosman
2021	A	`conf`	Multi-Agent Graph-Attention Communication and Teaming. AAMAS Yaru Niu, Rohan R. Paleja, Matthew C. Gombolay
2021	A*	`conf`	The Effects of a Robot's Performance on Human Teachers for Learning from Demonstration Tasks. HRI Erin Hedlund, Michael J. Johnson, Matthew C. Gombolay
2021	A*	`conf`	The Utility of Explainable AI in Ad Hoc Human-Machine Teaming. NeurIPS Rohan R. Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, Matthew C. Gombolay
2021	J	`jnl`	Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration. CoRR Letian Chen, Rohan R. Paleja, Matthew C. Gombolay
2021	—	`conf`	Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers. NAACL-HLT Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
2020	J	`jnl`	A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs). CoRR Qian Luo, Jing Wu, Matthew C. Gombolay
2020	B	`conf`	A Tale of Two Suggestions: Action and Diagnosis Recommendations for Responding to Robot Failure. RO-MAN Siddhartha Banerjee, Matthew C. Gombolay, Sonia Chernova
2020	C	`conf`	Coordinated Control of UAVs for Human-Centered Active Sensing of Wildfires. ACC Esmaeil Seraj, Matthew C. Gombolay
2020	C	`conf`	Coordinated Control of UAVs for Human-Centered Active Sensing of Wildfires. ACC Esmaeil Seraj, Matthew C. Gombolay
2020	J	`jnl`	Coordinated Control of UAVs for Human-Centered Active Sensing of Wildfires. CoRR Esmaeil Seraj, Matthew C. Gombolay
2020	A*	`conf`	Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction. HRI Manisha Natarajan, Matthew C. Gombolay
2020	J	`jnl`	FireCommander: An Interactive, Probabilistic Multi-agent Environment for Joint Perception-Action Tasks. CoRR Esmaeil Seraj, Xiyang Wu, Matthew C. Gombolay
2020	—	`conf`	Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies. HRI (Companion) Mariah L. Schrum, Michael J. Johnson, Muyleng Ghuy, Matthew C. Gombolay
2020	J	`jnl`	Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies. CoRR Mariah L. Schrum, Michael J. Johnson, Muyleng Ghuy, Matthew C. Gombolay
2020	—	`conf`	Heterogeneous Graph Attention Networks for Scalable Multi-Robot Scheduling with Temporospatial Constraints. Robotics: Science and Systems Zheyuan Wang, Matthew C. Gombolay
2020	J	`jnl`	Heterogeneous Learning from Demonstration. CoRR Rohan R. Paleja, Matthew C. Gombolay
2020	A*	`conf`	Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations. NeurIPS Rohan R. Paleja, Andrew Silva, Letian Chen, Matthew C. Gombolay
2020	A*	`conf`	Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation. HRI Letian Chen, Rohan R. Paleja, Muyleng Ghuy, Matthew C. Gombolay
2020	J	`jnl`	Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation. CoRR Letian Chen, Rohan R. Paleja, Muyleng Ghuy, Matthew C. Gombolay
2020	J	`jnl`	Learning Scheduling Policies for Multi-Robot Coordination With Graph Attention Networks. IEEE Robotics Autom. Lett. Zheyuan Wang, Matthew C. Gombolay
2020	Misc	`conf`	Learning from Suboptimal Demonstration via Self-Supervised Reward Regression. CoRL Letian Chen, Rohan R. Paleja, Matthew C. Gombolay
2020	J	`jnl`	Learning from Suboptimal Demonstration via Self-Supervised Reward Regression. CoRR Letian Chen, Rohan R. Paleja, Matthew C. Gombolay
2020	J	`jnl`	Meta-active Learning in Probabilistically-Safe Optimization. CoRR Mariah L. Schrum, Mark J. Connolly, Eric R. Cole, Mihir Ghetiya, Robert E. Gross, Matthew C. Gombolay
2020	A	`conf`	Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning. AISTATS Andrew Silva, Matthew C. Gombolay, Taylor W. Killian, Ivan Dario Jimenez Jimenez, Sung-Hyun Son
2020	J	`jnl`	Using Cross-Loss Influence Functions to Explain Deep Network Representations. CoRR Andrew Silva, Rohit Chopra, Matthew C. Gombolay
2020	J	`jnl`	When Your Robot Breaks: Active Learning During Plant Failure. IEEE Robotics Autom. Lett. Mariah L. Schrum, Matthew C. Gombolay
2019	A*	`conf`	Heterogeneous Learning from Demonstration. HRI Rohan R. Paleja, Matthew C. Gombolay
2019	B	`conf`	Human Trust After Robot Mistakes: Study of the Effects of Different Forms of Robot Communication. RO-MAN Sean Ye, Glen Neville, Mariah Schrum, Matthew C. Gombolay, Sonia Chernova, Ayanna M. Howard
2019	J	`jnl`	Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration. CoRR Rohan R. Paleja, Matthew C. Gombolay
2019	J	`jnl`	Interpretable Reinforcement Learning via Differentiable Decision Trees. CoRR Ivan Dario Jimenez Rodriguez, Taylor W. Killian, Sung-Hyun Son, Matthew C. Gombolay
2019	J	`jnl`	Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks. CoRR Zheyuan Wang, Matthew C. Gombolay
2019	J	`jnl`	Machine Learning Techniques for Analyzing Training Behavior in Serious Gaming. IEEE Trans. Games Matthew C. Gombolay, Reed Jensen, Sung-Hyun Son
2019	J	`jnl`	Personalized Apprenticeship Learning from Heterogeneous Decision-Makers. CoRR Rohan R. Paleja, Andrew Silva, Matthew C. Gombolay
2019	J	`jnl`	ProLoNets: Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning. CoRR Andrew Silva, Matthew C. Gombolay
2019	J	`jnl`	Safe Coordination of Human-Robot Firefighting Teams. CoRR Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay
2019	J	`jnl`	When Your Robot Breaks: Active Learning During Plant Failure. CoRR Mariah Schrum, Matthew C. Gombolay
2018	J	`jnl`	Fast Scheduling of Robot Teams Performing Tasks With Temporospatial Constraints. IEEE Trans. Robotics Matthew C. Gombolay, Ronald Wilcox, Julie A. Shah
2018	J	`jnl`	Human-Machine Collaborative Optimization via Apprenticeship Scheduling. CoRR Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah
2018	J	`jnl`	Human-Machine Collaborative Optimization via Apprenticeship Scheduling. J. Artif. Intell. Res. Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah
2018	A*	`conf`	Learning to Infer Final Plans in Human Team Planning. IJCAI Joseph Kim, Matthew E. Woicik, Matthew C. Gombolay, Sung-Hyun Son, Julie A. Shah
2018	J	`jnl`	Robotic assistance in the coordination of patient care. Int. J. Robotics Res. Matthew C. Gombolay, Xi Jessie Yang, Bradley Hayes, Nicole Seo, Zixi Liu, Samir Wadhwania, Tania Yu, Neel Shah, Toni Golen, Julie A. Shah
2018	—	`conf`	Workshop on Longitudinal Human-Robot Teaming. HRI (Companion) Joachim de Greeff, Bradley Hayes, Matthew C. Gombolay, Matthew Johnson, Mark A. Neerincx, Jurriaan van Diggelen, Melissa Cefkin, Ivana Kruijff-Korbayová
2017	J	`jnl`	Computational design of mixed-initiative human-robot teaming that considers human factors: situational awareness, workload, and workflow preferences. Int. J. Robotics Res. Matthew C. Gombolay, Anna Bair, Cindy Huang, Julie A. Shah
2016	—	`conf`	Appraisal of Statistical Practices in HRI vis-a-vis the T-Test for Likert Items/Scales. AAAI Fall Symposia Matthew C. Gombolay, Ankit Shah
2016	A*	`conf`	Apprenticeship Scheduling for Human-Robot Teams. AAAI Matthew C. Gombolay
2016	A*	`conf`	Apprenticeship Scheduling: Learning to Schedule from Human Experts. IJCAI Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son, Julie A. Shah
2016	—	`conf`	Robotic Assistance in Coordination of Patient Care. Robotics: Science and Systems Matthew C. Gombolay, Xi Jessie Yang, Bradley Hayes, Nicole Seo, Zixi Liu, Samir Wadhwania, Tania Yu, Neel Shah, Toni Golen, Julie A. Shah
2015	J	`jnl`	Decision-making authority, team efficiency and human worker satisfaction in mixed human-robot teams. Auton. Robots Matthew C. Gombolay, Reymundo A. Gutierrez, Shanelle G. Clarke, Giancarlo F. Sturla, Julie A. Shah
2015	—	`conf`	HRI Workshop on Human-Robot Teaming. HRI (Extended Abstracts) Bradley Hayes, Matthew C. Gombolay, Malte F. Jung, Koen V. Hindriks, Joachim de Greeff, Catholijn M. Jonker, Mark A. Neerincx, Jeffrey M. Bradshaw, Matthew Johnson, Ivana Kruijff-Korbayová, Maarten Sierhuis, Julie A. Shah, Brian Scassellati
2014	—	`conf`	Decision-Making Authority, Team Efficiency and Human Worker Satisfaction in Mixed Human-Robot Teams. Robotics: Science and Systems Matthew C. Gombolay, Reymundo Gutierrez, Giancarlo Sturla, Julie A. Shah
2014	J	`jnl`	Schedulability Analysis of Task Sets with Upper- and Lower-Bound Temporal Constraints. J. Aerosp. Inf. Syst. Matthew C. Gombolay, Julie A. Shah
2013	—	`conf`	Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints. Robotics: Science and Systems Matthew C. Gombolay, Ronald Wilcox, Julie A. Shah
2012	—	`conf`	A Uniprocessor Scheduling Policy for Non-Preemptive Task Sets with Precedence and Temporal Constraints. Infotech@Aerospace Matthew C. Gombolay, Julie A. Shah