| 2025 | ICRA | Reliable and Efficient Multi-Agent Coordination via Graph Neural Network Variational Autoencoders. | Yue Meng, Nathalie Majcherczyk, Wenliang Liu, Scott Kiesel, Chuchu Fan, Federico Pecora |
| 2021 | AAAI | Lifelong Multi-Agent Path Finding in Large-Scale Warehouses. | Jiaoyang Li, Andrew Tinka, Scott Kiesel, Joseph W. Durham, T. K. Satish Kumar, Sven Koenig |
| 2017 | IROS | An effort bias for sampling-based motion planning. | Scott Kiesel, Tianyi Gu, Wheeler Ruml |
| 2015 | AAAI | Recursive Best-First Search with Bounded Overhead. | Matthew Hatem, Scott Kiesel, Wheeler Ruml |
| 2015 | AAAI | Non-Classical Planning for Robotic Applications. | Scott Kiesel |
| 2015 | IJCAI | Max Is More than Min: Solving Maximization Problems with Heuristic Search. | Roni Stern, Scott Kiesel, Rami Puzis, Ariel Felner, Wheeler Ruml |
| 2015 | SoCS | Solving the Snake in the Box Problem with Heuristic Search: First Results. | Alon Palombo, Roni Stern, Rami Puzis, Ariel Felner, Scott Kiesel, Wheeler Ruml |
| 2014 | SoCS | Max is More than Min: Solving Maximization Problems with Heuristic Search. | Roni Tzvi Stern, Scott Kiesel, Rami Puzis, Ariel Felner, Wheeler Ruml |
| 2013 | SoCS | Experimental Real-Time Heuristic Search Results in a Video Game. | Ethan Burns, Scott Kiesel, Wheeler Ruml |
| 2012 | SoCS | Abstraction-Guided Sampling for Motion Planning. | Scott Kiesel, Ethan Burns, Wheeler Ruml |