Comments (1)
Hi @akash-venkateshwaran, you may find this tutorial that explains how you can define your own optimization objectives helpful.
Re. speed/time constraints, there are different ways to handle this. A common way is to find a feasible path first and then parametrize this path with respect to time to get a trajectory. This second step can incorporate velocity & acceleration constraints (and sometimes even jerk constraints). (TOTG, TOPP, and Ruckig are some methods you could use for this step, which is not part of OMPL.) You can also formulate this as a kinodynamic planning problem and solve it using planners in the ompl::control namespace, but it is non-trivial to make this work well.
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Related Issues (20)
- AttributeError:module 'ompl.geometric' has no attribute 'vectorSpaceInformation'
- Setting up start and goal state in CompoundStateSpace() HOT 2
- When s0 is a state on the path, why is the cost from s0 to postemp not considered when calculating the cost from s0 to s1? HOT 1
- Implementation of Constraints on the SolutionPath HOT 3
- Crash on an Arm board HOT 1
- STRRTstar module 'ompl.base' has no attribute 'SpaceTimeStateSpace'
- Problem on multi-agent planning with SE2MultiRigidBodyPlanning HOT 2
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- Extension to other samplers in SE2MultiRigidBodyPlanning.cpp
- Use cache to speed up CI for Python wheels HOT 1
- informedRRTStar or SORRTstar error with moveit
- Would it be possible to add Python wheels for linux arm64 as well? HOT 1
- Error when building OMPL Python Bindings on aarch64 HOT 1
- Optimizing Planning with PersistentLazyPRMstar: Constraints vs. Unconstrained
- OMPL installation issues on Ubuntu 24.04 HOT 10
- Best Solution in OMPL app
- Is deterministic planning possible? HOT 9
- Compile ompl in cmake external project through ExternalProject or FetchContent HOT 2
- Can't find `OMPL` when building MoveIt2 and OMPL from source HOT 24
- [omplapp] Use external dependency ompl via CMake target instead of embedding HOT 2
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