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README.md
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# 📦 Bellande Limit
![Demo GIF](bellande_limit_api_package.gif)
## Preprint
- [![Preprint](https://img.shields.io/badge/Preprint-Bellande%20Step-0099cc?style=for-the-badge)](https://dapp.orvium.io/deposits/6650ccb8afb407dc8beb0ff2/view)
# Preprint Citation
```
Bellande, R. (2024). Efficient Step Function for Infinite Multi-Dimensional Node Calculation within Model-Integrated Dimensional Space [version 1] [preprint]. Mathematics.
```
## 🧙 Organization Website
- [![Organization Website](https://img.shields.io/badge/Explore%20Our-Website-0099cc?style=for-the-badge)](https://robotics-sensors.github.io)
@@ -21,7 +10,7 @@ Bellande, R. (2024). Efficient Step Function for Infinite Multi-Dimensional Node
- **Ronaldson Bellande**
## Bellande Limit Executables & Models
- [![Bellande Limit Models & Executables ](https://img.shields.io/badge/Bellande%20Step-Models/Executables-0099cc?style=for-the-badge)](https://github.com/Artificial-Intelligence-Computer-Vision/bellande_step_models_executables)
- [![Bellande Limit Models & Executables ](https://img.shields.io/badge/Bellande%20Step-Models/Executables-0099cc?style=for-the-badge)](https://github.com/Artificial-Intelligence-Computer-Vision/bellande_limit_models_executables)
# API HTTP Usability (BELLANDE FORMAT)
```
@@ -80,7 +69,15 @@ Bellande_Framework_Access_Key: bellande_web_api_opensource
{
"node0": [0, 0, 0],
"node1": [100, 100, 100],
"environment": [1000, 1000, 1000],
"size": [10, 10, 10],
"goal": [200, 200, 200],
"obstacles": [
{
"position": [50, 50, 50],
"dimensions": [20, 20, 20]
}
],
"search_radius": 50,
"sample_points": 20,
"auth": {
@@ -90,7 +87,7 @@ Bellande_Framework_Access_Key: bellande_web_api_opensource
```
# 🧙 Website Bellande API Testing
- [![Website API Testing](https://img.shields.io/badge/Bellande%20API-Testing-0099cc?style=for-the-badge)](https://bellanderoboticssensorsresearchinnovationcenterwebsite-kot42qxp.b4a.run/api/bellande_step_experiment)
- [![Website API Testing](https://img.shields.io/badge/Bellande%20API-Testing-0099cc?style=for-the-badge)](https://bellande-robotics-sensors-research-innovation-center.org/api/bellande_limit_experiment)
# Quick Bellande API Testing
```
@@ -101,7 +98,15 @@ curl -X 'POST' \
-d '{
"node0": [0, 0, 0],
"node1": [100, 100, 100],
"environment": [1000, 1000, 1000],
"size": [10, 10, 10],
"goal": [100, 100, 100],
"obstacles": [
{
"position": [50, 50, 50],
"dimensions": [20, 20, 20]
}
],
"search_radius": 50,
"sample_points": 20,
"auth": {
@@ -110,132 +115,6 @@ curl -X 'POST' \
}'
```
# BS(Bellande Step) Algorithm API
## Experiment 1 -- Limit = 1
| ![2D](graphs_charts/graph_charts_1/2D_Space.png) *Figure 2D* | ![3D](graphs_charts/graph_charts_1/3D_Space.png) *Figure 3D* | ![4D](graphs_charts/graph_charts_1/4D_Space.png) *Figure 4D* |
|:------------------------------------------------------------:|:------------------------------------------------------------:|:------------------------------------------------------------:|
| ![5D](graphs_charts/graph_charts_1/5D_Space.png) *Figure 5D* | ![6D](graphs_charts/graph_charts_1/6D_Space.png) *Figure 6D* | ![7D](graphs_charts/graph_charts_1/7D_Space.png) *Figure 7D* |
| ![8D](graphs_charts/graph_charts_1/8D_Space.png) *Figure 8D* | ![9D](graphs_charts/graph_charts_1/9D_Space.png) *Figure 9D* | ![10D](graphs_charts/graph_charts_1/10D_Space.png) *Figure 10D* |
## Experiment 2 -- Limit = 25
| ![2D](graphs_charts/graph_charts_25/2D_Space.png) *Figure 2D* | ![3D](graphs_charts/graph_charts_25/3D_Space.png) *Figure 3D* | ![4D](graphs_charts/graph_charts_25/4D_Space.png) *Figure 4D* |
|:-------------------------------------------------------------:|:-------------------------------------------------------------:|:-------------------------------------------------------------:|
| ![5D](graphs_charts/graph_charts_25/5D_Space.png) *Figure 5D* | ![6D](graphs_charts/graph_charts_25/6D_Space.png) *Figure 6D* | ![7D](graphs_charts/graph_charts_25/7D_Space.png) *Figure 7D* |
| ![8D](graphs_charts/graph_charts_25/8D_Space.png) *Figure 8D* | ![9D](graphs_charts/graph_charts_25/9D_Space.png) *Figure 9D* | ![10D](graphs_charts/graph_charts_25/10D_Space.png) *Figure 10D* |
## Experiment 3 -- Limit = 50
| ![2D](graphs_charts/graph_charts_50/2D_Space.png) *Figure 2D* | ![3D](graphs_charts/graph_charts_50/3D_Space.png) *Figure 3D* | ![4D](graphs_charts/graph_charts_50/4D_Space.png) *Figure 4D* |
|:-------------------------------------------------------------:|:-------------------------------------------------------------:|:-------------------------------------------------------------:|
| ![5D](graphs_charts/graph_charts_50/5D_Space.png) *Figure 5D* | ![6D](graphs_charts/graph_charts_50/6D_Space.png) *Figure 6D* | ![7D](graphs_charts/graph_charts_50/7D_Space.png) *Figure 7D* |
| ![8D](graphs_charts/graph_charts_50/8D_Space.png) *Figure 8D* | ![9D](graphs_charts/graph_charts_50/9D_Space.png) *Figure 9D* | ![10D](graphs_charts/graph_charts_50/10D_Space.png) *Figure 10D* |
## Experiment 4 -- Limit = 75
| ![2D](graphs_charts/graph_charts_75/2D_Space.png) *Figure 2D* | ![3D](graphs_charts/graph_charts_75/3D_Space.png) *Figure 3D* | ![4D](graphs_charts/graph_charts_75/4D_Space.png) *Figure 4D* |
|:-------------------------------------------------------------:|:-------------------------------------------------------------:|:-------------------------------------------------------------:|
| ![5D](graphs_charts/graph_charts_75/5D_Space.png) *Figure 5D* | ![6D](graphs_charts/graph_charts_75/6D_Space.png) *Figure 6D* | ![7D](graphs_charts/graph_charts_75/7D_Space.png) *Figure 7D* |
| ![8D](graphs_charts/graph_charts_75/8D_Space.png) *Figure 8D* | ![9D](graphs_charts/graph_charts_75/9D_Space.png) *Figure 9D* | ![10D](graphs_charts/graph_charts_75/10D_Space.png) *Figure 10D* |
## Experiment 5 -- Limit = 100
| ![2D](graphs_charts/graph_charts_100/2D_Space.png) *Figure 2D* | ![3D](graphs_charts/graph_charts_100/3D_Space.png) *Figure 3D* | ![4D](graphs_charts/graph_charts_100/4D_Space.png) *Figure 4D* |
|:--------------------------------------------------------------:|:--------------------------------------------------------------:|:--------------------------------------------------------------:|
| ![5D](graphs_charts/graph_charts_100/5D_Space.png) *Figure 5D* | ![6D](graphs_charts/graph_charts_100/6D_Space.png) *Figure 6D* | ![7D](graphs_charts/graph_charts_100/7D_Space.png) *Figure 7D* |
| ![8D](graphs_charts/graph_charts_100/8D_Space.png) *Figure 8D* | ![9D](graphs_charts/graph_charts_100/9D_Space.png) *Figure 9D* | ![10D](graphs_charts/graph_charts_100/10D_Space.png) *Figure 10D* |
# Check Out Research Organization for open-source/semi-open-source API
- https://robotics-sensors.github.io
- Check out website for more information avaliable open-source API
# Package via Executable
- Infinite Space
```
bellande_step "[0, 0, 0]" "[100, 100, 100]" 75 3
```
# API in api_docs
- 2D Space
- 3D Space
- 4D Space
- 5D Space
- 6D Space
- 7D Space
- 8D Space
- 9D Space
- 10D Space
# Can also checkout portion of the docs at [Portion API DOCS](https://github.com/Robotics-Sensors/bellande_robots_step/blob/main/api_docs.md)
### ✔️ confirmed versions
- `The step function efficiently computes the next step towards a target node within a specified distance limit.`
## Usage 2D Space
Suppose you have two nodes representing positions in a 2D space:
- `node0` at coordinates `(0, 0)`
- `node1` at coordinates `(5, 5)`
You want to compute the next step from `node0` towards `node1` while limiting the maximum distance to 3 units.
```python
# Define Import
from bellande_step.bellande_step_2d import bellande_step_2d
# Define the nodes
node0 = Node2D(0, 0)
node1 = Node2D(5, 5)
# Compute the next step within a distance limit of 3 units
next_step = bellande_step_2d(node0, node1, limit=3)
# Output the coordinates of the next step
print("Next Step Coordinates:", next_step.coord)
```
## Usage 3D Space
Suppose you have two nodes representing positions in a 3D space:
- `node0` at coordinates `(0, 0, 0)`
- `node1` at coordinates `(5, 5, 5)`
You want to compute the next step from `node0` towards `node1` while limiting the maximum distance to 3 units.
```python
# Define Import
from bellande_step.bellande_step_3d import bellande_step_3d
# Define the nodes
node0 = Node3D(0, 0, 0)
node1 = Node3D(5, 5, 5)
# Compute the next step within a distance limit of 3 units
next_step = bellande_step_3d(node0, node1, limit=3)
# Output the coordinates of the next step
print("Next Step Coordinates:", next_step.coord)
```
### Avaliable
- 2D Space
- 3D Space
- 4D Space
- 5D Space
- 6D Space
- 7D Space
- 8D Space
- 9D Space
- 10D Space
## Website PYPI
- https://pypi.org/project/bellande_limit
@@ -247,9 +126,8 @@ print("Next Step Coordinates:", next_step.coord)
```
Name: bellande_limit
Version: 0.3.0
Summary: Computes the next step towards a target node
Home-page: github.com/RonaldsonBellande/bellande_robot_step
Home-page: github.com/RonaldsonBellande/bellande_limit
Author: Ronaldson Bellande
Author-email: ronaldsonbellande@gmail.com
License: GNU General Public License v3.0