Temporal planning methods usually focus on the objective of minimizing makespan.
Unfortunately, this misses a large class of planning problems where it is important to …

In this paper, recognition of blurred faces using the recently introduced Local Phase
Quantization (LPQ) operator is proposed. LPQ is based on quantizing the Fourier transform …

Soft goals extend the classical model of planning with a simple model of preferences. The
best plans are then not the ones with least cost but the ones with maximum utility, where the …

As the number of applications for human-robot teaming continue to rise, there is an
increasing need for planning technologies that can guide robots in such teaming scenarios …

Activity planning for missions such as the Mars Exploration Rover mission presents many
technical challenges, including oversubscription, consideration of time, concurrency …

In this paper we present a planner, LPRPG-P, capable of reasoning with the non-temporal
subset of PDDL 3 preferences. Our focus is on computation of relaxed plan based heuristics …

Goal Reasoning (GR) concerns actors that assume the responsibility for dynamically
selecting the goals they pursue. Our focus is on modelling an actor's decision making when …

While in classical planning the objective is to achieve one of the equally attractive goal
states at as low total action cost as possible, the objective in deterministic oversubscription …

Most work in heuristic search considers problems where a low cost solution is preferred
(MIN problems). In this paper, we investigate the complementary setting where a solution of …

In this paper, we present an integrated planning and robotic architecture that actively directs
an agent engaged in an urban search and rescue (USAR) scenario. We describe three …