Collaborative Constraint-Based Planning (CCBP)
We will develop the first human-in-the-loop planning system that is fully based on constraint programming (CP). Our system will use novel CP-based techniques for finding plans and allow users to easily specify their plan preferences and domain knowledge in order to iteratively refine the returned plans to their liking. Furthermore, our project will strengthen the connection between planning and constraint programming by transporting ideas between the two research areas.
PI: Jendrik Seipp
Funding: This project is partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation.
We are currently looking for a PhD student to work with us in this project. If you're interested or know someone who might be, please contact us.