| 2026 | AAAI | Toward Simulating Networked Societies with Formal Institutions Using AI Agents. | Michael Richards, Danny Cowser, Daniel Nielson, Jacob W. Crandall |
| 2025 | ICMLA | Automated Feature Engineering for Contextual Bandits via AATention Transfer Learning. | Ethan Pedersen, Jacob W. Crandall |
| 2025 | ICMLA | Can a Machine Learning Model Consistently Learn Profitable Trading Strategies in the Forex Market? | Ethan Pedersen, Jacob W. Crandall |
| 2024 | HRI | Reactive or Proactive? How Robots Should Explain Failures. | Gregory LeMasurier, Alvika Gautam, Zhao Han, Jacob W. Crandall, Holly A. Yanco |
| 2024 | IJCAI | Fostering Collective Action in Complex Societies Using Community-Based Agents. | Jonathan Skaggs, Michael Richards, Melissa Morris, Michael A. Goodrich, Jacob W. Crandall |
| 2024 | SMC | Generating Explanations for Autonomous Robots Using Assumption-Alignment Tracking. | Xuan Cao, Jacob W. Crandall, Michael A. Goodrich |
| 2023 | ECAI | AlegAATr the Bandit. | Ethan Pedersen, Jacob W. Crandall |
| 2023 | ICRA | Proficiency Self-Assessment without Breaking the Robot: Anomaly Detection using Assumption-Alignment Tracking from Safe Experiments. | Xuan Cao, Jacob W. Crandall, Ethan Pedersen, Alvika Gautam, Michael A. Goodrich |
| 2022 | ICRA | A Method for Designing Autonomous Robots that Know Their Limits. | Alvika Gautam, Tim Whiting, Xuan Cao, Michael A. Goodrich, Jacob W. Crandall |
| 2019 | SMC | Moderating Operator Influence in Human-Swarm Systems. | Chace Ashcraft, Michael A. Goodrich, Jacob W. Crandall |
| 2018 | AAAI | How AI Wins Friends and Influences People in Repeated Games With Cheap Talk. | Mayada Oudah, Talal Rahwan, Tawna Crandall, Jacob W. Crandall |
| 2017 | HAI | Regulating Highly Automated Robot Ecologies: Insights from Three User Studies. | Wen Shen, Alanoud Al Khemeiri, Abdulla Almehrezi, Wael Al Enezi, Iyad Rahwan, Jacob W. Crandall |
| 2017 | HCI | Human-Swarm Interaction as Shared Control: Achieving Flexible Fault-Tolerant Systems. | Jacob W. Crandall, Nathan Anderson, Chace Ashcraft, John R. Grosh, Jonah Henderson, Joshua McClellan, Aadesh Neupane, Michael A. Goodrich |
| 2016 | IJCAI | An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems. | Wen Shen, Cristina V. Lopes, Jacob W. Crandall |
| 2015 | HRI | Learning to Interact with a Human Partner. | Mayada Oudah, Vahan Babushkin, Tennom Chenlinangjia, Jacob W. Crandall |
| 2015 | IJCAI | Robust Learning for Repeated Stochastic Games via Meta-Gaming. | Jacob W. Crandall |
| 2012 | AAMAS | Just add Pepper: extending learning algorithms for repeated matrix games to repeated Markov games. | Jacob W. Crandall |
| 2011 | AAAI | Learning in Repeated Games with Minimal Information: The Effects of Learning Bias. | Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich |
| 2011 | HRI | Expressing emotions through robots: a case study using off-the-shelf programming interfaces. | Vimitha Manohar, Shamma al Marzooqi, Jacob W. Crandall |
| 2007 | HRI | Developing performance metrics for the supervisory control of multiple robots. | Jacob W. Crandall, Mary L. Cummings |
| 2007 | HRI | Managing autonomy in robot teams: observations from four experiments. | Michael A. Goodrich, Timothy W. McLain, Jeffrey D. Anderson, Jisang Sun, Jacob W. Crandall |
| 2005 | ICML | Learning to compete, compromise, and cooperate in repeated general-sum games. | Jacob W. Crandall, Michael A. Goodrich |
| 2003 | SMC | Towards predicting robot team performance. | Jacob W. Crandall, Curtis W. Nielsen, Michael A. Goodrich |
| 2002 | IROS | Characterizing efficiency of human robot interaction: a case study of shared-control teleoperation. | Jacob W. Crandall, Michael A. Goodrich |