Matthew C. Gombolay

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 135

Top Venues

CoRR

HRI

CoRL

Robotics: Science and Systems

Publications

Manisha Natarajan, Chunyue Xue, Sanne van Waveren, Karen M. Feigh, Matthew C. Gombolay
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation. CoRR (2024)
Lakshita Dodeja, Pradyumna Tambwekar, Erin Hedlund-Botti, Matthew C. Gombolay
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks. Int. J. Hum. Comput. Stud. 184 (2024)
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
Interactive and Explainable Robot Learning: A Comprehensive Review. Found. Trends Robotics 12 (2-3) (2024)
Yue Yang, Letian Chen, Zulfiqar Zaidi, Sanne van Waveren, Arjun Krishna, Matthew C. Gombolay
Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding. HRI (2024)
Qingyu Xiao, Zulfiqar Zaidi, Matthew C. Gombolay
Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses. ICRA (2024)
Rohan R. Paleja, Michael Munje, Kimberlee Chestnut Chang, Reed Jensen, Matthew C. Gombolay
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems. CoRR (2024)
Panagiotis Tsiotras, Matthew C. Gombolay, Jakob Foerster
Editorial: Decision-making and planning for multi-agent systems. Frontiers Robotics AI 11 (2024)
Tianyu Li, Hyunyoung Jung, Matthew C. Gombolay, Yong Kwon Cho, Sehoon Ha
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning. ICLR (2024)
Qingyu Xiao, Zulfiqar Zaidi, Matthew C. Gombolay
Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses. CoRR (2024)
Laura G. Strickland, Matthew C. Gombolay
Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games. J. Aerosp. Inf. Syst. 21 (1) (2024)
Manisha Natarajan, Chunyue Xue, Sanne van Waveren, Karen M. Feigh, Matthew C. Gombolay
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation. AAMAS (2024)
Zixuan Wu, Sean Ye, Manisha Natarajan, Matthew C. Gombolay
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Adversarial Multi-agent Games. CoRR (2024)
Nina Marie Moorman, Michelle Zhao, Henny Admoni, Reid G. Simmons, Matthew C. Gombolay
HRI '24: Workshop on Aging in Place. HRI (Companion) (2024)
Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. IEEE Trans. Robotics 40 (2024)
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
Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination. IEEE Trans. Robotics 40 (2024)
Andrew Silva, Pradyumna Tambwekar, Mariah Schrum, Matthew C. Gombolay
Towards Balancing Preference and Performance through Adaptive Personalized Explainability. HRI (2024)
Sean Ye, Matthew C. Gombolay
Efficient Trajectory Forecasting and Generation with Conditional Flow Matching. CoRR (2024)
Erin Hedlund-Botti, Matthew C. Gombolay
Investigating Learning from Demonstration in Imperfect and Real World Scenarios. HRI (Companion) (2023)
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
DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation. CoRL (2023)
Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay
Learning Models of Adversarial Agent Behavior Under Partial Observability. IROS (2023)
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
Interpretable Reinforcement Learning for Robotics and Continuous Control. CoRR (2023)
Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. CoRR (2023)
Lakshita Dodeja, Pradyumna Tambwekar, Erin Hedlund-Botti, Matthew C. Gombolay
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks. CoRR (2023)
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
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis. IEEE Robotics Autom. Lett. 8 (4) (2023)
Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. EACL (Findings) (2023)
Nina M. Moorman, Nakul Gopalan, Aman Singh, Erin Botti, Mariah Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew C. Gombolay
Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction. Robotics: Science and Systems (2023)
Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi, Rohan R. Paleja, Letian Chen, Erin Hedlund-Botti, Mariah Schrum, Matthew C. Gombolay
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration. CoRR (2023)
Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay
Diffusion Models for Multi-target Adversarial Tracking. MRS (2023)
Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi, Rohan R. Paleja, Letian Chen, Erin Hedlund-Botti, Mariah Schrum, Matthew C. Gombolay
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration. HRI (2023)
Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay
Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment. CoRR (2023)
Andrew Silva, Mariah Schrum, Erin Hedlund-Botti, Nakul Gopalan, Matthew C. Gombolay
Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction. Int. J. Hum. Comput. Interact. 39 (7) (2023)
Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay
Diffusion Based Multi-Agent Adversarial Tracking. CoRR (2023)
Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees. IEEE Robotics Autom. Lett. 8 (6) (2023)
Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay
Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment. MRS (2023)
Batuhan Altundas, Zheyuan Wang, Joshua Bishop, Matthew C. Gombolay
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation. CoRR (2023)
Mariah Schrum, Muyleng Ghuy, Erin Hedlund-Botti, Manisha Natarajan, Michael Johnson, Matthew C. Gombolay
Concerning Trends in Likert Scale Usage in Human-robot Interaction: Towards Improving Best Practices. ACM Trans. Hum. Robot Interact. 12 (3) (2023)
Nina Moorman, Erin Hedlund-Botti, Mariah Schrum, Manisha Natarajan, Matthew C. Gombolay
Impacts of Robot Learning on User Attitude and Behavior. HRI (2023)
Roger D. Dias, Lauren R. Kennedy-Metz, Srey Rithy, Geoffrey Rance, Mahdi Ebnali, David Arney, Matthew C. Gombolay, Marco A. Zenati
Using Digital Biomarkers for Objective Assessment of Perfusionists' Workload and Acute Stress During Cardiac Surgery. IWBBIO (1) (2023)
Pradyumna Tambwekar, Matthew C. Gombolay
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies. CoRR (2023)
Esmaeil Seraj, Jerry Xiong, Mariah Schrum, Matthew C. Gombolay
Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams. NeurIPS (2023)
Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay
Learning Models of Adversarial Agent Behavior under Partial Observability. CoRR (2023)
Zixuan Wu, Sean Charles Ye, Byeolyi Han, Matthew C. Gombolay
Hijacking Robot Teams Through Adversarial Communication. CoRL (2023)
Pradyumna Tambwekar, Lakshita Dodeja, Nathan Vaska, Wei Xu, Matthew C. Gombolay
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting. EMNLP (Findings) (2023)
Yue Yang, Letian Chen, Matthew C. Gombolay
Safe Inverse Reinforcement Learning via Control Barrier Function. CoRR (2022)
Ruisen Liu, Manisha Natarajan, Matthew C. Gombolay
Coordinating Human-Robot Teams with Dynamic and Stochastic Task Proficiencies. ACM Trans. Hum. Robot Interact. 11 (1) (2022)
Max Zuo, Logan Schick, Matthew C. Gombolay, Nakul Gopalan
Learning Efficient Exploration through Human Seeded Rapidly-exploring Random Trees. CoRR (2022)
Sachin G. Konan, Esmaeil Seraj, Matthew C. Gombolay
Contrastive Decision Transformers. CoRL (2022)
Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay
Learning Interpretable, High-Performing Policies for Autonomous Driving. Robotics: Science and Systems (2022)
Esmaeil Seraj, Zheyuan Wang, Rohan R. Paleja, Daniel Martin, Matthew Sklar, Anirudh Patel, Matthew C. Gombolay
Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming. AAMAS (2022)
Zheyuan Wang, Matthew C. Gombolay
Stochastic Resource Optimization over Heterogeneous Graph Neural Networks for Failure-Predictive Maintenance Scheduling. ICAPS (2022)
Sachin Konan, Esmaeil Seraj, Matthew C. Gombolay
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming. CoRR (2022)
Sravan Jayanthi, Letian Chen, Matthew C. Gombolay
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration. CoRR (2022)
Mariah Schrum, Mark J. Connolly, Eric R. Cole, Mihir Ghetiya, Robert Gross, Matthew C. Gombolay
Meta-Active Learning in Probabilistically Safe Optimization. IEEE Robotics Autom. Lett. 7 (4) (2022)
Roger D. Dias, Lauren R. Kennedy-Metz, Steven J. Yule, Matthew C. Gombolay, Marco A. Zenati
Assessing Team Situational Awareness in the Operating Room via Computer Vision. CogSIMA (2022)
Arjun Krishna, Zulfiqar Zaidi, Letian Chen, Rohan R. Paleja, Esmaeil Seraj, Matthew C. Gombolay
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis. CoRR (2022)
Batuhan Altundas, Zheyuan Wang, Joshua Bishop, Matthew C. Gombolay
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation. IROS (2022)
Roger D. Dias, Marco A. Zenati, Geoffrey Rance, Srey Rithy, David Arney, L. Chen, Rohan R. Paleja, Lauren R. Kennedy-Metz, Matthew C. Gombolay
Using machine learning to predict perfusionists' critical decision-making during cardiac surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10 (3) (2022)
Rohan R. Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, Matthew C. Gombolay
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming. CoRR (2022)
Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay
Robots Enact Malignant Stereotypes. FAccT (2022)
Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. CoRR (2022)
Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis
Machine Learning in Human-Robot Collaboration: Bridging the Gap. HRI (2022)
Esmaeil Seraj, Letian Chen, Matthew C. Gombolay
A Hierarchical Coordination Framework for Joint Perception-Action Tasks in Composite Robot Teams. IEEE Trans. Robotics 38 (1) (2022)
Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay
Learning Interpretable, High-Performing Policies for Continuous Control Problems. CoRR (2022)
Nina Moorman, Matthew C. Gombolay
Do People Trust Robots that Learn in the Home? CoRR (2022)
Sachin G. Konan, Esmaeil Seraj, Matthew C. Gombolay
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming. ICLR (2022)
Pradyumna Tambwekar, Nathan Vaska, Lakshita Dodeja, Matthew C. Gombolay
Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play. CoRR (2022)
Letian Chen, Sravan Jayanthi, Rohan R. Paleja, Daniel Martin, Viacheslav Zakharov, Matthew C. Gombolay
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations. CoRR (2022)
Letian Chen, Sravan Jayanthi, Rohan R. Paleja, Daniel Martin, Viacheslav Zakharov, Matthew C. Gombolay
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations. CoRL (2022)
Andrew Silva, Rohit Chopra, Matthew C. Gombolay
Cross-Loss Influence Functions to Explain Deep Network Representations. AISTATS (2022)
Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay
Multi-UAV Planning for Cooperative Wildfire Coverage and Tracking with Quality-of-Service Guarantees. CoRR (2022)
Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay
Robots Enact Malignant Stereotypes. CoRR (2022)
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
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis. CoRR (2022)
Mariah L. Schrum, Erin Hedlund-Botti, Nina Moorman, Matthew C. Gombolay
MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning. HRI (2022)
Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay
Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching. CoRL (2022)
Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay
Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees. Auton. Agents Multi Agent Syst. 36 (2) (2022)
Andrew Silva, Nina Moorman, William Silva, Zulfiqar Zaidi, Nakul Gopalan, Matthew C. Gombolay
LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Zheyuan Wang, Chen Liu, Matthew C. Gombolay
Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraints. Auton. Robots 46 (1) (2022)
Nakul Gopalan, Nina Moorman, Manisha Natarajan, Matthew C. Gombolay
Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions. Robotics: Science and Systems (2022)
Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay
Personalized Meta-Learning for Domain Agnostic Learning from Demonstration. HRI (2022)
Mariah L. Schrum, Erin Hedlund, Matthew C. Gombolay
Improving Robot-Centric Learning from Demonstration via Personalized Embeddings. CoRR (2021)
Andrew Silva, Matthew C. Gombolay
Encoding Human Domain Knowledge to Warm Start Reinforcement Learning. AAAI (2021)
Mariah L. Schrum, Glen Neville, Michael Johnson, Nina Moorman, Rohan R. Paleja, Karen M. Feigh, Matthew C. Gombolay
Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy. HRI (2021)
Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven D. James, Matthew C. Gombolay, Benjamin Rosman
Learning to Follow Language Instructions with Compositional Policies. CoRR (2021)
Yaru Niu, Rohan R. Paleja, Matthew C. Gombolay
Multi-Agent Graph-Attention Communication and Teaming. AAMAS (2021)
Andrew Hundt, Aditya Murali, Priyanka Hubli, Ran Liu, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer. CoRL (2021)
Esmaeil Seraj, Zheyuan Wang, Rohan R. Paleja, Matthew Sklar, Anirudh Patel, Matthew C. Gombolay
Heterogeneous Graph Attention Networks for Learning Diverse Communication. CoRR (2021)
Erin Hedlund, Michael Johnson, Matthew C. Gombolay
The Effects of a Robot's Performance on Human Teachers for Learning from Demonstration Tasks. HRI (2021)
Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager
Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions. CoRL (2021)
Letian Chen, Rohan R. Paleja, Matthew C. Gombolay
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration. CoRR (2021)
Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers. NAACL-HLT (2021)
Esmaeil Seraj, Vahid Azimi, Chaouki T. Abdallah, Seth Hutchinson, Matthew C. Gombolay
Adaptive Leader-Follower Control for Multi-Robot Teams with Uncertain Network Structure. ACC (2021)
Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
Interpretable Policy Specification and Synthesis through Natural Language and RL. CoRR (2021)
Rohan R. Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, Matthew C. Gombolay
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming. NeurIPS (2021)
Letian Chen, Rohan R. Paleja, Matthew C. Gombolay
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression. CoRR (2020)
Mariah L. Schrum, Michael Johnson, Muyleng Ghuy, Matthew C. Gombolay
Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies. HRI (Companion) (2020)
Andrew Silva, Matthew C. Gombolay, Taylor W. Killian, Ivan Dario Jimenez Jimenez, Sung-Hyun Son
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning. AISTATS (2020)
Esmaeil Seraj, Matthew C. Gombolay
Coordinated Control of UAVs for Human-Centered Active Sensing of Wildfires. ACC (2020)
Mariah L. Schrum, Michael Johnson, Muyleng Ghuy, Matthew C. Gombolay
Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies. CoRR (2020)
Esmaeil Seraj, Xiyang Wu, Matthew C. Gombolay
FireCommander: An Interactive, Probabilistic Multi-agent Environment for Joint Perception-Action Tasks. CoRR (2020)
Zheyuan Wang, Matthew C. Gombolay
Heterogeneous Graph Attention Networks for Scalable Multi-Robot Scheduling with Temporospatial Constraints. Robotics: Science and Systems (2020)

Matthew C. Gombolay.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Matthew C. Gombolay