| 2025 | ICDCS | Failure-Aware Tasking for Teams of Drones. | Jonathan Diller, Yee Shen Teoh, Robert Byers, Qi Han, John G. Rogers, Neil T. Dantam |
| 2024 | DATE | Constraint-Aware Resource Management for Cyber-Physical Systems. | Justin McGowen, Ismet Dagli, Neil T. Dantam, Mehmet E. Belviranli |
| 2024 | IROS | A Sampling Ensemble for Asymptotically Complete Motion Planning with Volume-Reducing Workspace Constraints. | Sihui Li, Matthew A. Schack, Aakriti Upadhyay, Neil T. Dantam |
| 2024 | ICS | Scheduling for Cyber-Physical Systems with Heterogeneous Processing Units under Real-World Constraints. | Justin McGowen, Ismet Dagli, Neil T. Dantam, Mehmet E. Belviranli |
| 2023 | ICRA | Sample-Driven Connectivity Learning for Motion Planning in Narrow Passages. | Sihui Li, Neil T. Dantam |
| 2023 | IROS | Robot Team Data Collection with Anywhere Communication. | Matthew A. Schack, John G. Rogers, Qi Han, Neil T. Dantam |
| 2022 | IROS | Givenness Hierarchy Informed Optimal Document Planning for Situated Human-Robot Interaction. | Kevin Spevak, Zhao Han, Tom Williams, Neil T. Dantam |
| 2022 | WAFR | Exponential Convergence of Infeasibility Proofs for Kinematic Motion Planning. | Sihui Li, Neil T. Dantam |
| 2021 | IROS | Optimization-Based Robot Team Exploration Considering Attrition and Communication Constraints. | Matthew A. Schack, John G. Rogers, Qi Han, Neil T. Dantam |
| 2020 | IROS | Towards General Infeasibility Proofs in Motion Planning | Sihui Li, Neil T. Dantam |
| 2018 | HCI | Augmented, Mixed, and Virtual Reality Enabling of Robot Deixis. | Tom Williams, Nhan Tran, Josh Rands, Neil T. Dantam |
| 2018 | WAFR | Practical Exponential Coordinates Using Implicit Dual Quaternions. | Neil T. Dantam |