| Model-Lite Planning: | Previous planning systems require complete domain models as input, which is often difficult in real-world applicaitons. A more realistic assumption is that, provided limited domain knowledge (e.g., background knowledge, represented by incomplete domain models for example) and a set of historical plan cases, we can efficiently generate robust plan solutions to new planning problems. In this project, we build a model-lite planning system that can compute plans for new planning problems with incomplete domain models. |
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| Action Model Learning: | Creating domain models for planning is time-consuming and tedious, even for domain experts. In this project we aim to automatically learn domain models (or action models) from historical plan traces. |
| Question Answering: | We propose to build deep networks to extract answers to questions. We build a demonstration based on insurance domains. |
| From Images to Poems: | We aim to generate poems based on images taken by users. |
| PlanTool: | PlanTool is a tool for efficient application and research in planning area, which integrating various popular planners. For now there are a GUI for planning application and a planning package with a lot of planners. |
| Intelligent Manufacturing: | We built an intelligent manufacturing platform to do domain knowledge engineering and planning. |