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 …

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 primary goal of our research is task-level planning. We approach this goal by utilizing a
blend of theory, implementation, and experimentation. We investigate task-level planning for …

Robots reason about abstract actions, such as" go to positionl'", in order to decide what to do
or to generate plans for their intended course of action. The use of abstract actions enables …

Providing a complete and accurate domain model for an agent situated in a complex
environment can be an extremely difficult task. Actions may have different effects depending …

Research on planning for robots is in such a state of flux that there is disagreement about
what planning is and whether it is necessary. We can take planning to be the optimization …

This paper describes an approach for a robotic arm to learn new actions through dialogue in
a simplified blocks world. In particular, we have developed a threetier action knowledge …

Task planning is the problem of finding a discrete sequence of actions to achieve a goal.
Unfortunately, task planning in robotic domains is computationally challenging. To address …

This paper presents r, he complete integrated planning, executing and learning robotic
agent ROGUE. We describe ROGUE'S task planner that interleaves high-level task planning …

A concept for a robot action planning system | Proc. of the NATO Advanced Research Workshop
on Languages for sensor-based control in robotics skip to main content ACM Digital Library …