Automated Planning and Control study the computational process of generating a plan, a course of action for an agent to execute towards achieving its goal or objective. Historically, planning and control communities have respectively focused on discrete and continuous state/action spaces, though this difference is reducing slowly.

The planning group at the University of Washington has been active in the development of planning algorithms and representations since 1990. This historical website lists the earlier projects, publications, and download links.

Currently, our group is active in a wide variety of areas including robotic control, use of planning and control models in computational neuroscience and automated planning under uncertainty. Our recent ventures also include several application areas, such as intelligent game design, energy management, crowdsourcing and online education.