Why are probabilistic roadmap (PRM) planners "probabilistic"? This paper tries to establish the probabilistic foundations of PRM planning and re-examines previous work in this context. It shows that the success of PRM planning depends mainly and critically on the assumption that the configuration space C of a robot often verifies favorable "visibility" properties that are not directly dependent on the dimensionality of C. A promising way of speeding up PRM planners is to extract partial knowledge on such properties during roadmap construction and use this knowledge to adjust the sampling measure continuously. This paper also shows that the choice of the sampling source--- pseudo-random or deterministic---has small impact...
AbstractThe probabilistic roadmap algorithm is a leading heuristic for robot motion planning. It is ...
Probabilistic roadmap planners (PRMs) have become a popular technique for motion planning that has ...
Abstract — Randomized motion planning techniques are re-sponsible for many of the recent successes i...
Why is probabilistic roadmap (PRM) planning probabilistic? How does the probability measure used for...
Why is probabilistic roadmap (PRM) planning probabilistic? How does the probability measure used for...
The probabilistic roadmap approach is a commonly used motion planning technique. A crucial ingredie...
Within the popular probabilistic roadmap (PRM) framework for motion planning, we challenge the use o...
The Probabilistic RoadMap planner (PRM) has been applied with success to multiple planning problems ...
The probabilistic roadmap (PRM) planner is a popular method for robot motion planning problems with ...
Several randomized path planners have been proposed during the last few years. Their attractiveness ...
Abstract The probabilistic roadmap approach is a commonly used motion planning technique.A crucial i...
In the last fifteen years, sampling-based planners like the Probabilistic Roadmap Method (PRM) have ...
10.1177/0278364906067174International Journal of Robotics Research257627-643IJRR
Several randomized path planners have been proposed during the last few years. Their at-tractiveness...
In this paper we investigate probabilistic completeness and asymptotic optimality of various existin...
AbstractThe probabilistic roadmap algorithm is a leading heuristic for robot motion planning. It is ...
Probabilistic roadmap planners (PRMs) have become a popular technique for motion planning that has ...
Abstract — Randomized motion planning techniques are re-sponsible for many of the recent successes i...
Why is probabilistic roadmap (PRM) planning probabilistic? How does the probability measure used for...
Why is probabilistic roadmap (PRM) planning probabilistic? How does the probability measure used for...
The probabilistic roadmap approach is a commonly used motion planning technique. A crucial ingredie...
Within the popular probabilistic roadmap (PRM) framework for motion planning, we challenge the use o...
The Probabilistic RoadMap planner (PRM) has been applied with success to multiple planning problems ...
The probabilistic roadmap (PRM) planner is a popular method for robot motion planning problems with ...
Several randomized path planners have been proposed during the last few years. Their attractiveness ...
Abstract The probabilistic roadmap approach is a commonly used motion planning technique.A crucial i...
In the last fifteen years, sampling-based planners like the Probabilistic Roadmap Method (PRM) have ...
10.1177/0278364906067174International Journal of Robotics Research257627-643IJRR
Several randomized path planners have been proposed during the last few years. Their at-tractiveness...
In this paper we investigate probabilistic completeness and asymptotic optimality of various existin...
AbstractThe probabilistic roadmap algorithm is a leading heuristic for robot motion planning. It is ...
Probabilistic roadmap planners (PRMs) have become a popular technique for motion planning that has ...
Abstract — Randomized motion planning techniques are re-sponsible for many of the recent successes i...