In recent years, dramatic advances in Artificial Intelligence (AI) have revolutionized the field of AI planning, from theoretical algorithms to the practical applications. This special issue seeks outstanding research on recent advances in AI planning with an emphasis on innovative approaches and technologies as well as their industrial application. Topics of interest include, but are not limited to:

1.Automated planning and scheduling
2.Planning under uncertainty
3.Distributed & multiple agent planning
4.Constraints based planning
5.Constraint Satisfaction Problems (CSP)
6.Planning as satisfiability
7.Planning as constraint satisfaction
8.Planning as model checking
9.Planning on a computational grid, cloud
10.Heuristic search planning
11.Temporal reasoning and scheduling
12.Complexity of planning
13.Case-based planning
14.Markov decision processes
15.Knowledge representation for planning
16.Disaster planning and recovery
17.Case studies