Recent advances in mixed-reality technologies have renewed interest in alternative modes
of communication for human-robot interaction. However, most of the work in this direction …

There are many approaches for solving planning problems. Many of these approaches are
based on 'brute force'search methods and they usually do not care about structures of plans …

Research into techniques that reformulate problems to make general solvers more efficiently
derive solutions has attracted much attention, in particular when the reformulation process is …

Macro-operator (“macro”, for short) generation is a well-known technique that is used to
speed-up the planning process. Most published work on using macros in automated …

In the field of domain-independent planning, several powerful planners implementing
different techniques have been developed. However, no one of these systems outperforms …

Much progress has been made in the research and development of automated planning
algorithms in recent years. Though incremental improvements in algorithm design are still …

Capturing and exploiting structural knowledge of planning problems has shown to be a
successful strategy for making the planning process more ef-ficient. Plans can be …

Despite the advances made in the last decade in automated planning, no planner
outperforms all the others in every known benchmark domain. This observation motivates …

In the field of automated planning, the central research focus is on domain‐independent
planning engines that accept planning tasks (domain models and problem descriptions) in a …

The development of domain-independent planners within the AI planning community is
leading to “off-the-shelf” technology that can be used in a wide range of applications …