- |
+
A Python implementation of the Spatial Math Toolbox for MATLAB®
|
@@ -98,7 +92,7 @@ These are layered over a set of base functions that perform many of the same ope
The class, method and functions names largely mirror those of the MATLAB toolboxes, and the semantics are quite similar.
-
+

@@ -127,12 +121,12 @@ If the toolbox helped you in your research, please cite
If you are using the Toolbox in your open source code, feel free to add our badge to your readme!
-[](https://github.com/bdaiinstitute/spatialmath-python)
+[](https://github.com/rai-opensource/spatialmath-python)
Simply copy the following
```
-[](https://github.com/bdaiinstitute/spatialmath-python)
+[](https://github.com/rai-opensource/spatialmath-python)
```
@@ -158,7 +152,7 @@ pip install spatialmath-python[ros-humble]
Install the current code base from GitHub and pip install a link to that cloned copy
```
-git clone https://github.com/bdaiinstitute/spatialmath-python.git
+git clone https://github.com/rai-opensource/spatialmath-python.git
cd spatialmath-python
pip install -e .
# Optional: if you would like to contribute and commit code changes to the repository,
@@ -302,14 +296,14 @@ t = 1, 2, 3; rpy/zyx = 30, 0, 0 deg
>>> T.plot()
```
-
+
`printline` is a compact single line format for tabular listing, whereas `print` shows the underlying matrix and for consoles that support it, it is colorised, with rotational elements in red and translational elements in blue.
For more detail checkout the shipped Python notebooks:
-* [gentle introduction](https://github.com/bdaiinstitute/spatialmath-python/blob/master/notebooks/gentle-introduction.ipynb)
-* [deeper introduction](https://github.com/bdaiinstitute/spatialmath-python/blob/master/notebooks/introduction.ipynb)
+* [gentle introduction](https://github.com/rai-opensource/spatialmath-python/blob/master/notebooks/gentle-introduction.ipynb)
+* [deeper introduction](https://github.com/rai-opensource/spatialmath-python/blob/master/notebooks/introduction.ipynb)
You can browse it statically through the links above, or clone the toolbox and run them interactively using [Jupyter](https://jupyter.org) or [JupyterLab](https://jupyter.org).
@@ -395,7 +389,7 @@ array([-60, 12, 30, 24])
## Graphics
-
+
The functions support various plotting styles
diff --git a/pyproject.toml b/pyproject.toml
index b6070611..f47b18b2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,10 +45,10 @@ dependencies = [
]
[project.urls]
-"Homepage" = "https://github.com/bdaiinstitute/spatialmath-python"
-"Bug Tracker" = "https://github.com/bdaiinstitute/spatialmath-python/issues"
-"Documentation" = "https://bdaiinstitute.github.io/spatialmath-python/"
-"Source" = "https://github.com/bdaiinstitute/spatialmath-python"
+"Homepage" = "https://github.com/rai-opensource/spatialmath-python"
+"Bug Tracker" = "https://github.com/rai-opensource/spatialmath-python/issues"
+"Documentation" = "https://rai-opensource.github.io/spatialmath-python/"
+"Source" = "https://github.com/rai-opensource/spatialmath-python"
[project.optional-dependencies]
diff --git a/tests/test_pose3d.py b/tests/test_pose3d.py
index 35233dd2..cdb80fbd 100755
--- a/tests/test_pose3d.py
+++ b/tests/test_pose3d.py
@@ -1390,7 +1390,7 @@ def test_rtvec(self):
nt.assert_equal(tvec, [2, 3, 4])
def test_interp(self):
- # This data is taken from https://github.com/bdaiinstitute/spatialmath-python/issues/165
+ # This data is taken from https://github.com/rai-opensource/spatialmath-python/issues/165
se3_1 = SE3()
se3_1.t = np.array(
[0.5705748101710814, 0.29623210833184527, 0.10764106509086407]