Publication | Closed Access
The Open Motion Planning Library
1.6K
Citations
36
References
2012
Year
EngineeringRobot PlanningField RoboticsIntelligent RoboticsSampling-based Motion PlanningTrajectory PlanningSystems EngineeringKinematicsRobot LearningComputational GeometryHealth SciencesPath PlanningRobot Motion PlanningMotion SynthesisComputer ScienceMotion PlanningAutomationRobot Operating SystemNew LibraryPlanningRoboticsRobotics Simulator
OMPL is a new library that implements many state‑of‑the‑art sampling‑based motion‑planning algorithms. It enables users to solve diverse, complex motion‑planning problems with minimal input. OMPL supports easy extension of algorithms, integrates with other software, offers a GUI, tutorials, demos, assignments, and ROS support.
The open motion planning library (OMPL) is a new library for sampling-based motion planning, which contains implementations of many state-of-the-art planning algorithms. The library is designed in a way that it allows the user to easily solve a variety of complex motion planning problems with minimal input. OMPL facilitates the addition of new motion planning algorithms, and it can be conveniently interfaced with other software components. A simple graphical user interface (GUI) built on top of the library, a number of tutorials, demos, and programming assignments are designed to teach students about sampling-based motion planning. The library is also available for use through Robot Operating System (ROS).
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