Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Test new planners in OMPL #246

Open
toliver opened this issue Mar 2, 2017 · 0 comments
Open

Test new planners in OMPL #246

toliver opened this issue Mar 2, 2017 · 0 comments

Comments

@toliver
Copy link
Contributor

toliver commented Mar 2, 2017

Some new planners have been added to OMPL. We should give them a try.

Hi all,

We are  are happy to announce version 1.3.0 of the Open Motion Planning Library (OMPL).

OMPL 1.3 contains the following main changes:

• Added new planners:
        • RRT#, a variant of RRT* with an improved convergence rate.
        • RRTX, a variant of RRT* with an improved convergence rate. Only the static part of the RRTX algorithm is implemented. Dynamical obstacles and updates of the robot position are not available in this implementation.
        • SORRT*, a variant of Informed RRT* that orders states in the subproblem that could provide a better solution by their potential solution cost.
• New refactored versions of BIT* and Informed RRT*.
• Various changes throughout to follow standard C++11 practices that improve efficiency, safety, or legibility.
• Fixes for Boost 1.63 and pygccxml 1.8.5.
• Misc. small bug fixes.

Major contributions to this release were made by:
• Jonathan Gammell, Oxford University
• Florian Hauer, Georgia Tech
• Scott Paulin, University of Canterbury, New Zealand
• Dave Coleman, University of Colorado, Boulder

The OMPL web page can be found at http://ompl.kavrakilab.org.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant