This article presents an algorithm termed as multiobjective dynamic rapidly exploring
random (MOD-RRT*), which is suitable for robot navigation in unknown dynamic …

A path-planning algorithm to guide unmanned aerial vehicles (UAVs) for tracking multiple
ground targets based on the theory of partially observable Markov decision processes …

Safe navigation is a fundamental capability for robots that move among pedestrians. The
traditional approach in robotics to attain such a capability has treated pedestrians as moving …

The need for determining a path from an initial location to a target one is a crucial task in
many applications, such as virtual simulations, robotics, and computer games. Almost all of …

In recent years, automated guided vehicles (AGV) are widely used to sort and transport
parcels in logistics warehouses. The deployment of AGVs can improve storage efficiency …

This paper is devoted to an autonomous approach to a moving ship for unmanned vehicles.
The problem is introduced and formulated first. Cooperation between the vehicle and the …

This paper proposes a recursive receding horizon path planning algorithm for unmanned
vehicles in nonuniform environments. In the proposed algorithm, the map is described by …

In this paper, we want to solve multi-objective robot path planning problem. A new elitist
multi-objective approach is proposed to determine Pareto front based on coefficient of …

Most mission planning algorithms are designed for healthy systems. When faults occur in a
system, it is advantageous to optimize the mission plan by taking the system health condition …

Most of the existing path planning algorithms require a prior global map. Although there
have been some algorithms proposed for unknown environments, they can only deal with …