Add to ORKGConsider a scheduling scenario in a furniture factory where two robotic agents work together to apply finish to custom table pieces. Robot A is set up to paint, while Robot B must apply varnish. Both actions take an uncertain amount of tim
The robust execution of a temporal plan in a perturbed environment is a problem that remains to be s...
A large class of modern real-time applications exhibits important variations in the computation time...
Coordinating a team of robots to fulfill a common task is still a demanding problem. This is even mo...
A critical challenge in temporal planning is robustly dealing with non-determinism introduced by the...
A critical challenge in temporal planning is robustly dealing with non-determinism, e.g., the durati...
Flexibility in agent scheduling increases the resilience of temporal plans in the face of new constr...
Flexibility in agent scheduling increases the resilience of temporal plans in the face of new constr...
In Temporal Planning a typical assumption is that the agent controls the execution time of all event...
Large real-world Probabilistic Temporal Planning (PTP) is a very challenging research field. A comm...
The execution of tasks for a robotic agent embedded in a dynamic environment brings about several ch...
We propose novel techniques for task allocation and planning in multi-robot systems operating in unc...
The ultimate goal of automated planning is the execution of plans by an artificial agent in the envi...
The robust execution of a temporal plan in a perturbed environment is a problem that remains to be s...
Due to the high complexity of probabilistic planning algorithms, roboticists often opt for determini...
The robust execution of a temporal plan in a perturbed environment is a problem that remains to be s...
A large class of modern real-time applications exhibits important variations in the computation time...
Coordinating a team of robots to fulfill a common task is still a demanding problem. This is even mo...
A critical challenge in temporal planning is robustly dealing with non-determinism introduced by the...
A critical challenge in temporal planning is robustly dealing with non-determinism, e.g., the durati...
Flexibility in agent scheduling increases the resilience of temporal plans in the face of new constr...
Flexibility in agent scheduling increases the resilience of temporal plans in the face of new constr...
In Temporal Planning a typical assumption is that the agent controls the execution time of all event...
Large real-world Probabilistic Temporal Planning (PTP) is a very challenging research field. A comm...
The execution of tasks for a robotic agent embedded in a dynamic environment brings about several ch...
We propose novel techniques for task allocation and planning in multi-robot systems operating in unc...
The ultimate goal of automated planning is the execution of plans by an artificial agent in the envi...
The robust execution of a temporal plan in a perturbed environment is a problem that remains to be s...
Due to the high complexity of probabilistic planning algorithms, roboticists often opt for determini...
The robust execution of a temporal plan in a perturbed environment is a problem that remains to be s...
A large class of modern real-time applications exhibits important variations in the computation time...
Coordinating a team of robots to fulfill a common task is still a demanding problem. This is even mo...