When dealing with computed tomography volume data, the accurate segmentation of lung
nodules is of great importance to lung cancer analysis and diagnosis, being a vital part of …

Neural Motion Planners (NMPs) have emerged as a promising tool for solving robot
navigation tasks in complex environments. However, these methods often require expert …

The optimal path planning problem is considered for rovers. Tip-over risk is accurately
modelled using direction dependence. In the previous direction-independent model, the …

In this article, we consider shortest path problems in a directed graph where the transitions
between nodes are subject to uncertainty. We use a minimax formulation, where the …

We present the first asymptotically optimal feedback planning algorithm for nonholonomic
systems and additive cost functionals. Our algorithm is based on three well-established …

We present an algorithm that, given a representation of a road network in lane-level detail,
computes a route that minimizes the expected cost to reach a given destination. In doing so …

We address the computation of paths globally minimizing an energy involving their
curvature, with given endpoints and tangents at these endpoints, according to models …

Surveillance-Evasion (SE) games form an important class of adversarial trajectory-planning
problems. We consider time-dependent SE games, in which an Evader is trying to reach its …

The classical setting of optimal control theory assumes full knowledge of the process
dynamics and the costs associated with every control strategy. The problem becomes much …

We consider both discrete and continuous control problems constrained by a fixed budget of
some resource, which may be renewed upon entering a preferred subset of the state space …