Industry-leading planning and heuristic search
ShortestPathLab is a research group at Monash University led by A/Prof Daniel Harabor for AI planning and heuristic search.
Featured projects
Latest publications
2026 / Advancing MAPF Toward the Real World: A Scalable Multi-Agent Realistic Testbed (SMART)
Yan, J., Li, Z., Kang, W., Zheng, K., Zhang, Y., Chen, Z., Zhang, Y., Harabor, D., Smith, S. F., & Li, J. (2026). Advancing MAPF Toward the Real World: A Scalable Multi-Agent Realistic Testbed (SMART). IEEE Robotics Autom. Lett., 11(6), 7428–7435. https://doi.org/10.1109/LRA.2026.36880622026 / Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamics
Ahmadi, S., Tack, G., Harabor, D., Kilby, P., & Jalili, M. (2026). Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamics. IEEE Trans. Intell. Transp. Syst., 27(6), 6451–6463. https://doi.org/10.1109/TITS.2026.36790742025 / Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities
Zhang, Y., Chen, Z., Harabor, D., Bodic, P. L., & Stuckey, P. J. (2025). Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities. In T. Walsh, J. Shah, & Z. Kolter (Eds.), Thirty-Ninth AAAI Conference on Artificial Intelligence, Thirty-Seventh Conference on Innovative Applications of Artificial Intelligence, Fifteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2025, Philadelphia, PA, USA, February 25 - March 4, 2025 (pp. 23387–23394). AAAI Press. https://doi.org/10.1609/AAAI.V39I22.34506
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Using Posthoc with Piglet
Check out how to use Posthoc with the Piglet solver.
Summer research scholarships 2024 applications now open!
If you're passionate about cutting-edge technology and want to dive deep into the world of pathfinding search, this is your chance to get hands-on experience with innovative research projects
Welcome to the lab!
The shortest introduction to ShortestPathLab.