Updated readme for dependencies

README.md

@@ -1,8 +1,11 @@
 # PRobabilistically-Informed Motion Primitives (PRIMP)
-Python implementation of PRobabilistically-Informed Motion Primitives, a learning-from-demonstration method on Lie group. This work is published in __IEEE Transactions on Robotics (T-RO)__.
+[![Python](https://github.com/ChirikjianLab/primp-python/actions/workflows/python-package.yml/badge.svg)](https://github.com/ChirikjianLab/primp-python/actions/workflows/python-package.yml)
+
+Python implementation of PRobabilistically-Informed Motion Primitives, a learning-from-demonstration method on Lie group. This work is published in _IEEE Transactions on Robotics (T-RO)_.
 
 - Publication: [T-RO](), [ArXiv](https://arxiv.org/abs/2305.15761)
-- MATLAB version (includes more demos) is available [here](https://github.com/ChirikjianLab/primp-matlab).
+- Project page: [https://chirikjianlab.github.io/primp-page/](https://chirikjianlab.github.io/primp-page/)
+- MATLAB version (includes more demos): [https://github.com/ChirikjianLab/primp-matlab](https://github.com/ChirikjianLab/primp-matlab).
 
 ## Authors
 [Sipu Ruan](https://ruansp.github.io), Weixiao Liu, Xiaoli Wang, Xin Meng and Gregory S. Chirikjian
@@ -12,9 +15,9 @@ See [requirements.txt](/primp/requirements.txt)
 - numpy
 - scipy
 - [finitediff](https://pypi.org/project/finitediff/): Compute finite difference
-- (Optional) [roboticstoolbox-python](https://github.com/petercorke/robotics-toolbox-python): Robotics toolbox for different operations and visualizations
-- (Optional) [movement_primitives](https://github.com/dfki-ric/movement_primitives): Python library for movement primitives
-- (Optional) [dtw-python](https://pypi.org/project/dtw-python/): Dynamic Time Warping for evaluating distance between learned and demonstrated trajectories
+- [movement_primitives](https://github.com/dfki-ric/movement_primitives): Python library for movement primitives
+- [dtw-python](https://pypi.org/project/dtw-python/): Dynamic Time Warping for evaluating distance between learned and demonstrated trajectories
+- [roboticstoolbox-python](https://github.com/petercorke/robotics-toolbox-python): Robotics toolbox for different operations and visualizations
 
 ## Features
 ### PRIMP
@@ -23,8 +26,7 @@ Class for the proposed PRIMP method, working on Lie groups. The full 6D pose is
 ### Probabilistic Movement Primitives (ProMP)
 Wrapper class that calls the library [movement_primitives](https://github.com/dfki-ric/movement_primitives). The learning spaces include:
 
-1. Only 3D position of the end effector
-2. (TODO) the full 6D pose using [Orientation-ProMP](https://proceedings.mlr.press/v164/rozo22a.html)
+- Only 3D position of the end effector
 
 ## Installation
 We recommend using `pip` to install the package:

requirements.txt

@@ -1,7 +1,7 @@
-roboticstoolbox-python
-movement_primitives
-finitediff
 numpy
 scipy
 matplotlib
-dtw-python
+finitediff
+dtw-python
+movement_primitives
+roboticstoolbox-python

setup.py

@@ -2,21 +2,21 @@
 
 setup(
     name='primp-python',
-    version='0.0.1',
+    version='0.2.0',
     packages=find_packages(),
-    url='',
-    license='',
+    url='https://chirikjianlab.github.io/primp-page/',
+    license='BSD-3 Clause',
     author='Sipu Ruan',
-    author_email='ruansp@nus.edu.sg',
+    author_email='',
     description='PRobabilistically-Informed Motion Primitives (PRIMP) for learning from demonstration',
 
     install_requires=[
-        'roboticstoolbox-python',
-        'movement_primitives',
-        'finitediff',
         'numpy',
         'scipy',
         'matplotlib',
-        'dtw-python'
+        'finitediff',
+        'dtw-python',
+        'movement_primitives',
+        'roboticstoolbox-python'        
     ]
 )