Many problems in robotics seek to simultaneously optimize several competing objectives. A
conventional approach is to create a single cost function comprised of the weighted sum of …

When designing a motion planner for autonomous robots there are usually multiple
objectives to be considered. However, a cost function that yields the desired trade-off …

In this article, we propose a path planning methodology for a mobile robot navigating
through an obstacle-filled environment to generate a reference path that is traceable with …

Dubins coverage has been extensively researched to address the coverage path planning
(CPP) problem of a known environment for the curvature-constrained robot. However, its …

Path planning in narrow passages is a challenging problem in various applications.
Traditional planning algorithms often face challenges in complex environments like mazes …

Path planning algorithms can solve the problem of finding paths through continuous spaces.
This problem appears in a wide range of applications, from navigating autonomous robots to …

In this paper, a robot navigating an environment shared with humans is considered, and a
cost function that can be exploited in RRT X, a randomized sampling-based replanning …

Thanks to the wide availability of low-cost and high-performance sensing devices, obtaining
a large amount of sensor data has become easier for robots in many applications …