Update setup and doc

.github/workflows/cd.yml

@@ -8,6 +8,68 @@ env:
   FORCE_COLOR: 3
 
 jobs:
+  make_sdist:
+    name: Make SDist
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Install dependencies
+        run: sudo bash ./setup_utils/install_dependencies.sh  --boost --gmp --mpfr --eigen --cgal
+
+      - name: Build SDist
+        run: pipx run build --sdist
+
+      - uses: actions/upload-artifact@v4
+        with:
+          name: cibw-sdist
+          path: dist/*.tar.gz
+
+  build_wheels:
+    name: Wheel on ${{ matrix.os }}
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest]
+
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - uses: pypa/[email protected]
+
+      - name: Upload wheels
+        uses: actions/upload-artifact@v4
+        with:
+          name: cibw-wheels-${{ matrix.os }}-${{ strategy.job-index }}
+          path: wheelhouse/*.whl
+
+  upload_all:
+    needs: [build_wheels, make_sdist]
+    environment:
+      name: pypi
+      url: https://pypi.org/p/coverage-control
+    permissions:
+      id-token: write
+    runs-on: ubuntu-latest
+    if: github.event_name == 'release' && github.event.action == 'published'
+
+    steps:
+      - uses: actions/download-artifact@v4
+        with:
+          pattern: cibw-*
+          path: dist
+          merge-multiple: true
+
+      - uses: pypa/gh-action-pypi-publish@release/v1
+        # with:
+          # Remember to tell (test-)pypi about this repo before publishing
+          # Remove this line to publish to PyPI
+          # repository-url: https://test.pypi.org/legacy/
   docker-deploy:
     permissions: write-all
     runs-on: ubuntu-latest

.github/workflows/ghaction-doxygen-ghpages.yml

@@ -3,9 +3,6 @@ on:
   workflow_dispatch:
   release:
     types: [published]
-  push:
-    paths:
-      - 'doc/**'
 permissions:
   contents: write
 

README.md

@@ -4,17 +4,16 @@ See full documentation at [https://KumarRobotics.github.io/CoverageControl/](htt
 
 Coverage control is the problem of navigating a robot swarm to collaboratively monitor features or a phenomenon of interest not known _a priori_.
 The library provides a simulation environment, algorithms, and GNN-based architectures for the coverage control problem.  
-<img align="right" width="300" src="https://github.com/KumarRobotics/CoverageControl/raw/main/doc/graphics/LPAC.gif">
+<img align="right" width="300" src="https://kumarrobotics.github.io/CoverageControl/LPAC.gif">
 
 **Key features:**  
 - The core library is written in `C++` and `CUDA` to handle large-scale simulations
 - There are `python` bindings that interface with the core library
 - Several Centroidal Voronoi Tessellation (CVT)-based algorithms (aka Lloyd's algorithms)
 - Learnable Perception-Action-Communication (LPAC) architecture for the coverage control problem is implemented in `PyTorch` and `PyTorch Geometric`
-- GPU and CPU parallelization using `CUDA` and `OpenMP`
 
 ---
-## Quick Start
+## Getting Started
 The library is available as a `pip` package. To install the package, run the following command:
 ```bash
 pip install coverage_control