Planning in real-world environments can be challenging for intelligent robots due to
incomplete domain knowledge that results from unpredictable domain dynamism, and due …

The action language BC provides an elegant way of formalizing dynamic domains which
involve indirect effects of actions and recursively defined fluents. In complex robot task …

As robots become more physically robust and capable of sophisticated sensing, navigation,
and manipulation, we want them to carry out increasingly complex tasks. A robot that helps …

Action planning has been used in the field of robotics for solving long-running tasks. In the
robot architectures field, it is also known as the deliberative layer. However, there is still a …

Automated action planning is crucial for efficient execution of mobile robot missions.
Automated planners use complete domain descriptions to construct plans. Nevertheless …

Task planning in mobile robotics should be performed efficiently, due to real-time
requirements of robot-environment interaction. Its computational efficiency depends both on …

The use of automated action planning techniques is essential for efficient mission execution
of mobile robots. However, a tremendous effort is needed to represent planning problem …

Robots need task planning to sequence and execute actions toward achieving their goals.
On the other hand, Behavior Trees provide a mathematical model for specifying plan …

Most of the key computational ideas in planning have been developed for planning
languages where action preconditions and goals are conjunctions of propositional atoms …

As robots become more physically robust and capable of sophisticated sensing, navigation,
and manipulation, we want them to carry out increasingly complex tasks. A robot that helps …