The areas of AI planning and scheduling have seen important advances thanks to the application of constraint satisfaction models and techniques. Especially solutions to many real-world problems need to integrate plan synthesis capabilities with resource allocation, which can be efficiently managed by using constraint satisfaction techniques.

The workshop will aim at providing a forum for researchers in the field of Artificial Intelligence to discuss novel issues on planning, scheduling, constraint programming/constraint satisfaction problems (CSPs) and many other common areas that exist among them. On the whole, the workshop will mainly focus on managing complex problems where planning, scheduling and constraint satisfaction must be combined and/or interrelated, which entails an enormous potential for practical applications and future research.

This workshop continues the trail of the successful COPLAS'06, COPLAS'07, COPLAS'08 and COPLAS’09 Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems. During two years, the workshop was a joint workshop for both ICAPS and CP, which provided a broader audience and gave the participants of both events the opportunity to exchange ideas and approaches that lead to a valuable and fruitful discussion, and inspired forthcoming research.

COPLAS is ranked as CORE B in ERA Conference Ranking.