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publications

2024

International Conference on Robotics and Automation (ICRA 2024)

London, UK

Recency Bias in Task Performance History Affects Perceptions of Robot Competence and Trustworthiness [PDF]

Matthew Luebbers*, Aaquib Tabrez*, Kanaka Samagna Talanki, and Bradley Hayes

ACM/IEEE International Conference on Human-Robot Interaction (HRI 2024)

Boulder, CO

Workspace Optimization Techniques to Improve Prediction of Human Motion During Human-Robot Collaboration [PDF]

Yi-Shiuan Tung, Matthew Luebbers, Alessandro Roncone, and Bradley Hayes

HRI Pioneers Workshop at the ACM/IEEE International Conference on Human-Robot Interaction

Boulder, CO

Explainable Guidance and Justification for Mental Model Alignment in Human-Robot Teams [PDF]

Matthew Luebbers and Bradley Hayes

2023

Robotics Science and Systems (RSS 2023)

Daegu, Korea

Autonomous Justification for Enabling Explainable Decision Support in Human-Robot Teaming [PDF]

Matthew Luebbers*, Aaquib Tabrez*, Kyler Ruvane, and Bradley Hayes

International Conference on Robotics and Automation (ICRA 2023)

London, UK

Human Non-Compliance with Robot Spatial Ownership Communicated via Augmented Reality: Implications for Human-Robot Teaming Safety [PDF]

Christine Chang, Matthew Luebbers, Mitchell Herbert, and Bradley Hayes

International Conference on Autonomous Agents and Multi-agent Systems (AAMAS 2023)

London, UK

ShelfHelp: Empowering Humans to Perform Vision-Independent Manipulation Tasks with a Socially Assistive Robotic Cane [PDF]

Shivendra Agrawal, Suresh Nayak, Ashutosh Naik, and Bradley Hayes

AAAI Fall Symposium Series

Arlington, VA

Towards A Natural Language Interface for Flexible Multi-Agent Task Assignment [PDF]

Jake Brawer, Kayleigh Bishop, Bradley Hayes, and Alessandro Roncone

Workshop on Life-Long Learning with Human Help (L3H2 2023)

London, UK

Augmented Reality and Proxy Grippers Improve Demonstration-based Robot Skill Learning [PDF]

Carl Mueller, Matthew Luebbers, Aaquib Tabrez, and Bradley Hayes

Workshop on on Virtual, Augmented, and Mixed Reality for Human-Robot Interaction at the ACM/IEEE International Conference on Human-Robot Interaction

Stockholm, Sweden

Improving Human Legibility in Collaborative Robot Tasks through Augmented Reality and Workspace Preparation [PDF]

Yi-Shiuan Tung, Matthew B. Luebbers, Alessandro Roncone, and Bradley Hayes

Human-Robot Interaction Late-Breaking Reports (HRI 2023)

Stockholm, Sweden

More Than a Number: A Multi-dimensional Framework For Automatically Assessing Human Teleoperation Skill [PDF]

Emily Jensen, Bradley Hayes, and Sriram Sankaranarayanan

Ph.D. Thesis

University of Colorado Boulder

Reliable Autonomy at the Intersection of Constrained Motion Planning, Learning from Demonstration, and Augmented Reality [PDF]

Carl Mueller

Masters Thesis

University of Colorado Boulder

Breaking the Tie: Evaluating human preferences in Reinforcement Learning [PDF]

Tuhina Tripathi

2022

IEEE Robotics and Automation Letters (RA-L)

PokeRRT: Poking as a Skill and Failure Recovery Tactic for Planar Non-Prehensile Manipulation [PDF]

Anuj Pasricha, Yi-Shiuan Tung, Bradley Hayes, and Alessandro Roncone

In Submission

One-shot Policy Elicitation via Semantic Reward Manipulation [PDF]

Aaquib Tabrez, Ryan Leonard, and Bradley Hayes

In Submission

A Survey of Augmented Reality for Human-Robot Collaboration [PDF]

Christine Chang and Bradley Hayes

Proceedings of the 21st International Conference on Autonomous Agents and Multi-agent Systems (AAMAS 2022)

Virtual

Descriptive and Prescriptive Visual Guidance to Improve Shared Situational Awareness in Human-Robot Teaming [PDF]

Matthew Luebbers*, Aaquib Tabrez*, and Bradley Hayes

Best Student Paper Runner-up

Proceedings of the 21st International Conference on Autonomous Agents and Multi-agent Systems (AAMAS 2022)

Virtual

Intention-Aware Navigation in Crowds with Extended-Space POMDP Planning [PDF]

Himanshu Gupta, Bradley Hayes, and Zachary Sunberg

IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2022)

Naples, Italy

Bilevel Optimization for Just-in-Time Robotic Kitting and Delivery via Adaptive Task Segmentation and Scheduling [PDF]

Yi-Shiuan Tung, Kayleigh Bishop, Bradley Hayes, and Alessandro Roncone

IEEE International Conference on Intelligent Robots and Systems (IROS 2022)

Kyoto, Japan

A Novel Perceptive Robotic Cane with Haptic Navigation for Enabling Vision-Independent Participation in the Social Dynamics of Seat Choice [PDF]

Shivendra Agrawal, Mary Etta West, and Bradley Hayes

Social and Cognitive Interactions for Assistive Robotics (SCIAR) workshop, IROS 2022

Kyoto, Japan

ShelfHelp: Empowering Humans to Perform Vision-Independent Manipulation Tasks with a Socially Assistive Robotic Cane [PDF]

Shivendra Agrawal, and Bradley Hayes

RSS Pioneers Workshop at Robotics: Science and Systems (RSS 2022)

New York City, New York

Mediating Trust and Influence in Human-Robot Interaction via Explainable AI [PDF]

Aaquib Tabrez and Bradley Hayes

Workshop on on Virtual, Augmented, and Mixed Reality for Human-Robot Interaction at the ACM/IEEE International Conference on Human-Robot Interaction

Augmented Reality-Based Explainable AI Strategies for Establishing Appropriate Reliance and Trust in Human-Robot Teaming [PDF]

Matthew Luebbers*, Aaquib Tabrez*, and Bradley Hayes

Masters Thesis

University of Colorado Boulder

Autonomous Navigation Among Dynamic Obstacles [PDF]

Himanshu Gupta

Masters Thesis

University of Colorado Boulder

Preference in Inverse Reinforcement Learning: What Does It Mean? [PDF]

Xinyu Cao

2021

Proceedings of the International Conference on Intelligent Robots and Systems (IROS 2021)

Virtual

Asking the Right Questions: Facilitating Semantic Constraint Specification for Robot Skill Learning and Repair [PDF] [TALK]

Aaquib Tabrez*, Jack Kawell*, and Bradley Hayes

Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2021)

Xi'an, China (+Virtual)

ARC-LfD: Using Augmented Reality for Interactive Long-Term Robot Skill Maintenance via Constrained Learning from Demonstration [PDF] [TALK]

Matthew Luebbers, Connor Brooks, Carl Mueller, Daniel Szafir, and Bradley Hayes

Proceedings of the "Accessibility of Robot Programming and Work of the Future" Workshop at RSS 2021

Virtual

Robot Behavior Counterfactuals for Interactive Constrained Learning from Demonstration [PDF]

Carl Mueller, Aaquib Tabrez, and Bradley Hayes

Proceedings of the SpaceCHI Workshop at CHI 2021

Virtual

Emerging Autonomy Solutions for Human and Robotic Deep Space Exploration [PDF]

Christine Chang*, Jordan Dixon*, Matthew Luebbers*, Aaquib Tabrez*, and Bradley Hayes

Robots for Learning – Learner-Centered Design Workshop at the International Conference on Human-Robot Interaction

Virtual

Teaching grounded reading skills via an interactive robot tutor [PDF]

Kaleb Bishop, Bradley Hayes, and Alessandro Roncone

2020

Springer-Nature Current Robotics Reports

A Survey of Mental Modeling Techniques in Human-Robot Teaming [PDF]

Aaquib Tabrez, Matthew Luebbers, and Bradley Hayes

11th International Conference on Applied Human Factors and Ergonomics (AHFE 2020)

San Diego, CA

Trustworthy Human-Centered Automation through Explainable AI and High-Fidelity Simulation

Bradley Hayes and Michael Moniz

Proceedings of Workshop on Assessing, Explaining, and Conveying Robot Proficiency for Human-Robot Teaming at HRI 2020.

Cambridge, UK

Automated Failure-Mode Clustering and Labeling for Informed Car-To-Driver Handover in Autonomous Vehicles [PDF]

Aaquib Tabrez, Matthew Luebbers, and Bradley Hayes

Proceedings of HRI Pioneers Workshop at HRI 2020.

Cambridge, UK

Safe and Robust Robot Learning from Demonstration through Conceptual Constraints [PDF]

Carl Mueller and Bradley Hayes

Proceedings of the AIAA Scitech 2020 Forum

Orlando, FL

Iterative Reward Learning for Robotic Exploration [PDF]

Aastha Acharya, Shohei Wakayama, Bradley Hayes, and Nisar Ahmed

Proceedings of the 34th AAAI Conference in Artificial Intelligence

New York City, NY

Abstract Constraints for Safe and Robust Robot Learning from Demonstration [PDF]

Carl Mueller and Bradley Hayes

2019

Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2019)

Montreal, Canada

Fast Online Segmentation of Activities from Partial Trajectories [PDF]

Tariq Iqbal, Shen Li, Christopher Fourie, Bradley Hayes, and Julie A. Shah

2019 ACM/IEEE International Conference on Human Robot Interaction (HRI 2019)

Daegu, Korea

Explanation-based Reward Coaching to Improve Human Performance via Reinforcement Learning [PDF]

Aaquib Tabrez, Shivendra Agrawal, and Bradley Hayes

Best Technical Paper Runner-up

HRI Pioneers Workshop at the 2019 ACM/IEEE International Conference on Human Robot Interaction (HRI 2019)

Daegu, South Korea.

Improving Human-Robot Interaction through Explainable Reinforcement Learning. [PDF]

Aaquib Tabrez and Bradley Hayes

Second International Workshop on on Virtual, Augmented, and Mixed Reality for Human-Robot Interaction at the ACM/IEEE International Conference on Human-Robot Interaction

Daegu, South Korea

Augmented Reality Interface for Constrained Learning from Demonstration [PDF]

Matthew Beck Luebbers, Connor Brooks, Minjae John Kim, Daniel Szafir, and Bradley Hayes

2018

International Journal of Robotics Research (IJRR)

Robotic Assistance in Coordination of Patient Care [PDF]

Matthew Gombolay, Jessie Yang, Bradley Hayes, Nicole Seo, Zixi Liu, Samir Wadhwania, Tania Yu, Neel Shah, Toni Golen, and Julie Shah

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)

Madrid, Spain

Robust Robot Learning from Demonstration and Skill Repair Using Conceptual Constraints [PDF]

Carl Mueller, Jeff Venicx, and Bradley Hayes

2017

IEEE International Conference on Robotics and Automation (ICRA 2017)

Singapore

Interpretable Models for Fast Activity Recognition and Anomaly Explanation During Collaborative Robotics Tasks [PDF]

Bradley Hayes and Julie Shah

ACM/IEEE International Conference on Human-Robot Interaction (HRI 2017)

Vienna, Austria

Improving Robot Controller Transparency Through Autonomous Policy Explanation [PDF]

Bradley Hayes and Julie Shah