Our results show that dynamic roadmaps can be both faster and more capable for planning difficult motions than using on-line planning alone.

We concentrate in this paper on analyzing the tradeoffs between maintaining dynamic roadmaps and applying an on-line bi- directional Rapidly-exploring Random ...

This paper focuses on analyzing the tradeoffs between maintaining dynamic roadmaps and applying an on-line bidirectional rapidly-exploring random tree (RRT) ...

Our method searches for a near-time-optimal trajectory between a start and a goal configuration in the roadmap, without collisions with the dynamic obstacles.

Our method searches for a near-time-optimal trajectory between a start and a goal con- figuration in the roadmap, without collisions with the dynamic obstacles.

The strength of our robust motion planning approach using probabilistic roadmaps lies in its ability to handle dynamic constraints and perform global ...

Jun 28, 2024 · Abstract. Motion planning in modified environments is a challeng- ing task, as it compounds the innate difficulty of the motion planning.

Over the last few years, Probabilistic Roadmaps (PRMs) have emerged as a powerful approach for solving complex motion planning problems in robotics.

This chapter will consider how to address problems with configuration spaces of arbitrary dimension.

Jan 15, 2018 · Thus, a motion planning algorithm should be aware of the distance to obstacles to allow generating trajectories with a safety distance to ...