Name | pink_bench JSON |
Version |
0.2.0
JSON |
| download |
home_page | None |
Summary | Library of robot motions with inverse kinematics and predictive control. |
upload_time | 2024-12-16 08:49:22 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.8 |
license | None |
keywords |
inverse
kinematics
pinocchio
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# pink\_bench
A library of robot motions performed by inverse kinematics and model predictive control.
## Installation
For best compatibility we recommended installing the bench from Conda:
```console
conda install -c conda-forge pink_bench
```
You can also install it from PyPI:
```console
pip install pink_bench
```
## Usage
To play a scenario from the library, simply call:
```py
pink_bench.play_scenario(
name="jaxon",
dt=0.005, # seconds
qpsolver="proxqp",
)
```
This will open a MeshCat tab in your web browser playing the scenario for its prescribed duration. You can also do the same from the command-line:
```console
$ ./examples/run_scenario.py jaxon --dt 0.005 --qpsolver proxqp
```
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