IrisNp2Options collects all parameters for the IRIS-NP2 algorithm.
- Warning
- This feature is considered to be experimental and may change or be removed at any time, without any deprecation notice ahead of time.
- See also
- IrisNp2 for more details.
#include <drake/planning/iris/iris_np2.h>
◆ IrisNp2Options() [1/3]
| IrisNp2Options |
( |
const IrisNp2Options & | | ) |
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default |
◆ IrisNp2Options() [2/3]
| IrisNp2Options |
( |
IrisNp2Options && | | ) |
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default |
◆ IrisNp2Options() [3/3]
◆ operator=() [1/2]
◆ operator=() [2/2]
◆ Serialize()
template<typename Archive>
| void Serialize |
( |
Archive * | a | ) |
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Passes this object to an Archive.
Refer to YAML Serialization for background. Note: This only serializes options that are YAML built-in types.
◆ add_hyperplane_if_solve_fails
| bool add_hyperplane_if_solve_fails {false} |
Add a hyperplane at a particle in collision if the nonlinear solve (initialized at that point) fails.
Generally leads to regions with more faces, but helpful for getting the algorithm unstuck if most nonlinear solves are failing.
◆ parameterization
Parameterization of the subspace along which to grow the region.
Default is the identity parameterization, corresponding to growing regions in the ordinary configuration space.
◆ ray_sampler_options
Additional options for kRaySampler.
Ignored if kGreedySampler is used.
◆ sampled_iris_options
Options common to IRIS-type algorithms.
◆ sampling_strategy
| std::string sampling_strategy {"greedy"} |
Which sampling strategy to use when growing the region.
Use "ray" for kRaySmpler, and "greedy" for kGreedySampler. kRaySampler finds collisions closer to the ellipsoid center in order to achieve more efficient hyperplane placement, yielding fewer hyperplanes in the resulting region, but may take more runtime than kGreedySampler.
- Note
- See §5.3 of [Werner et al., 2024] for further details.
◆ solver
The user can specify a solver to use for the counterexample search program.
If nullptr (the default value) is given, then solvers::MakeFirstAvailableSolver will be used to pick the solver.
◆ solver_options
Options passed to the counterexample search program solver.
The documentation for this class was generated from the following file: