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, 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
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, 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
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2021)
Xi'an, China (+Virtual)
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