Matthew C. Gombolay

Orcid: 0000-0002-5321-6038

Affiliations:
  • Georgia Institute of Technology, College of Computing, Atlanta, GA, USA
  • Massachusetts Institute of Technology (MIT), Cambridge, MA, USA (PhD 2017)


According to our database1, Matthew C. Gombolay authored at least 114 papers between 2012 and 2024.

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Bibliography

2024
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks.
Int. J. Hum. Comput. Stud., April, 2024

MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving.
IEEE Trans. Robotics, 2024

Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games.
J. Aerosp. Inf. Syst., 2024

Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses.
CoRR, 2024

Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Towards Balancing Preference and Performance through Adaptive Personalized Explainability.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

HRI '24: Workshop on Aging in Place.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees.
IEEE Robotics Autom. Lett., June, 2023

Athletic Mobile Manipulator System for Robotic Wheelchair Tennis.
IEEE Robotics Autom. Lett., April, 2023

Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction.
Int. J. Hum. Comput. Interact., April, 2023

From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues.
AIS Trans. Hum. Comput. Interact., March, 2023

Interpretable Reinforcement Learning for Robotics and Continuous Control.
CoRR, 2023

CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning.
CoRR, 2023

Diffusion Based Multi-Agent Adversarial Tracking.
CoRR, 2023

Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment.
CoRR, 2023

Towards Reconciling Usability and Usefulness of Explainable AI Methodologies.
CoRR, 2023

Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Models for Multi-target Adversarial Tracking.
Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment.
Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Using Digital Biomarkers for Objective Assessment of Perfusionists' Workload and Acute Stress During Cardiac Surgery.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023

Learning Models of Adversarial Agent Behavior Under Partial Observability.
IROS, 2023

Impacts of Robot Learning on User Attitude and Behavior.
Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration.
Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Investigating Learning from Demonstration in Imperfect and Real World Scenarios.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Hijacking Robot Teams Through Adversarial Communication.
Proceedings of the Conference on Robot Learning, 2023

DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation.
Proceedings of the Conference on Robot Learning, 2023

2022
A Hierarchical Coordination Framework for Joint Perception-Action Tasks in Composite Robot Teams.
IEEE Trans. Robotics, 2022

LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation.
IEEE Robotics Autom. Lett., 2022

Meta-Active Learning in Probabilistically Safe Optimization.
IEEE Robotics Autom. Lett., 2022

Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis.
CoRR, 2022

Safe Inverse Reinforcement Learning via Control Barrier Function.
CoRR, 2022

FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings.
CoRR, 2022

Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play.
CoRR, 2022

Do People Trust Robots that Learn in the Home?
CoRR, 2022

Learning Efficient Exploration through Human Seeded Rapidly-exploring Random Trees.
CoRR, 2022

Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration.
CoRR, 2022

Learning Interpretable, High-Performing Policies for Continuous Control Problems.
CoRR, 2022

Using machine learning to predict perfusionists' critical decision-making during cardiac surgery.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraints.
Auton. Robots, 2022

Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees.
Auton. Agents Multi Agent Syst., 2022

Learning Interpretable, High-Performing Policies for Autonomous Driving.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming.
Proceedings of the Tenth International Conference on Learning Representations, 2022

MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Personalized Meta-Learning for Domain Agnostic Learning from Demonstration.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Machine Learning in Human-Robot Collaboration: Bridging the Gap.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Robots Enact Malignant Stereotypes.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching.
Proceedings of the Conference on Robot Learning, 2022

Contrastive Decision Transformers.
Proceedings of the Conference on Robot Learning, 2022

Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations.
Proceedings of the Conference on Robot Learning, 2022

Assessing Team Situational Awareness in the Operating Room via Computer Vision.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2022

Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Cross-Loss Influence Functions to Explain Deep Network Representations.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Stochastic Resource Optimization over Heterogeneous Graph Neural Networks for Failure-Predictive Maintenance Scheduling.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
Learning to Follow Language Instructions with Compositional Policies.
CoRR, 2021

Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration.
CoRR, 2021

Improving Robot-Centric Learning from Demonstration via Personalized Embeddings.
CoRR, 2021

Heterogeneous Graph Attention Networks for Learning Diverse Communication.
CoRR, 2021

Interpretable Policy Specification and Synthesis through Natural Language and RL.
CoRR, 2021

The Utility of Explainable AI in Ad Hoc Human-Machine Teaming.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2021

The Effects of a Robot's Performance on Human Teachers for Learning from Demonstration Tasks.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2021

Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Multi-Agent Graph-Attention Communication and Teaming.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Adaptive Leader-Follower Control for Multi-Robot Teams with Uncertain Network Structure.
Proceedings of the 2021 American Control Conference, 2021

Encoding Human Domain Knowledge to Warm Start Reinforcement Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning Scheduling Policies for Multi-Robot Coordination With Graph Attention Networks.
IEEE Robotics Autom. Lett., 2020

When Your Robot Breaks: Active Learning During Plant Failure.
IEEE Robotics Autom. Lett., 2020

A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs).
CoRR, 2020

Using Cross-Loss Influence Functions to Explain Deep Network Representations.
CoRR, 2020

FireCommander: An Interactive, Probabilistic Multi-agent Environment for Joint Perception-Action Tasks.
CoRR, 2020

Human-Robot Team Coordination with Dynamic and Latent Human Task Proficiencies: Scheduling with Learning Curves.
CoRR, 2020

Heterogeneous Graph Attention Networks for Scalable Multi-Robot Scheduling with Temporospatial Constraints.
Proceedings of the Robotics: Science and Systems XVI, 2020

A Tale of Two Suggestions: Action and Diagnosis Recommendations for Responding to Robot Failure.
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction.
Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation.
Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

Learning from Suboptimal Demonstration via Self-Supervised Reward Regression.
Proceedings of the 4th Conference on Robot Learning, 2020

Coordinated Control of UAVs for Human-Centered Active Sensing of Wildfires.
Proceedings of the 2020 American Control Conference, 2020

Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Machine Learning Techniques for Analyzing Training Behavior in Serious Gaming.
IEEE Trans. Games, 2019

Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks.
CoRR, 2019

Personalized Apprenticeship Learning from Heterogeneous Decision-Makers.
CoRR, 2019

Interpretable Reinforcement Learning via Differentiable Decision Trees.
CoRR, 2019

Safe Coordination of Human-Robot Firefighting Teams.
CoRR, 2019

Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration.
CoRR, 2019

ProLoNets: Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning.
CoRR, 2019

Human Trust After Robot Mistakes: Study of the Effects of Different Forms of Robot Communication.
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

Heterogeneous Learning from Demonstration.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

2018
Fast Scheduling of Robot Teams Performing Tasks With Temporospatial Constraints.
IEEE Trans. Robotics, 2018

Human-Machine Collaborative Optimization via Apprenticeship Scheduling.
J. Artif. Intell. Res., 2018

Robotic assistance in the coordination of patient care.
Int. J. Robotics Res., 2018

Learning to Infer Final Plans in Human Team Planning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Workshop on Longitudinal Human-Robot Teaming.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

2017
Computational design of mixed-initiative human-robot teaming that considers human factors: situational awareness, workload, and workflow preferences.
Int. J. Robotics Res., 2017

Learning to Tutor from Expert Demonstrators via Apprenticeship Scheduling.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Apprenticeship Scheduling: Learning to Schedule from Human Experts.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Appraisal of Statistical Practices in HRI vis-a-vis the T-Test for Likert Items/Scales.
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

Apprenticeship Scheduling for Human-Robot Teams.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Decision-making authority, team efficiency and human worker satisfaction in mixed human-robot teams.
Auton. Robots, 2015

HRI Workshop on Human-Robot Teaming.
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

Coordination of Human-Robot Teaming with Human Task Preferences.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

2014
Schedulability Analysis of Task Sets with Upper- and Lower-Bound Temporal Constraints.
J. Aerosp. Inf. Syst., 2014

Decision-Making Authority, Team Efficiency and Human Worker Satisfaction in Mixed Human-Robot Teams.
Proceedings of the Robotics: Science and Systems X, 2014

Challenges in Collaborative Scheduling of Human-Robot Teams.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013
Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints.
Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

2012
A Uniprocessor Scheduling Policy for Non-Preemptive Task Sets with Precedence and Temporal Constraints.
Proceedings of the Infotech@Aerospace 2012, 2012


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