Bellande Step Algorithm that efficiently computes the next step towards a target with directionality and segmentation capabilities
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📦 Bellande Step (Infinite Dimensions)
Preprint
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 Github
Author, Creator and Maintainer
- Ronaldson Bellande
Bellande Step Executables & Models
API HTTP Usability (BELLANDE FORMAT)
# Copyright (C) 2024 Bellande Robotics Sensors Research Innovation Center, Ronaldson Bellande
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
# GNU General Public License v3.0 or later
url: https://bellande-robotics-sensors-research-innovation-center.org
endpoint_path:
bellande_step: /api/Bellande_Step/bellande_step_nd
Bellande_Framework_Access_Key: bellande_web_api_opensource
API HTTP Usability (JSON FORMAT)
{
"license": [
"Copyright (C) 2024 Bellande Robotics Sensors Research Innovation Center, Ronaldson Bellande",
"This program is free software: you can redistribute it and/or modify",
"it under the terms of the GNU General Public License as published by",
"the Free Software Foundation, either version 3 of the License, or",
"(at your option) any later version.",
"",
"This program is distributed in the hope that it will be useful,",
"but WITHOUT ANY WARRANTY; without even the implied warranty of",
"MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the",
"GNU General Public License for more details.",
"",
"You should have received a copy of the GNU General Public License",
"along with this program. If not, see <https://www.gnu.org/licenses/>.",
"GNU General Public License v3.0 or later"
],
"url": "https://bellande-robotics-sensors-research-innovation-center.org",
"endpoint_path": {
"bellande_step": "/api/Bellande_Step/bellande_step_nd"
},
"Bellande_Framework_Access_Key": "bellande_web_api_opensource"
}
API Payload Example
{
"node0": [0, 0, 0],
"node1": [100, 100, 100],
"limit": 75,
"dimensions": 3,
"auth": {
"authorization_key": "bellande_web_api_opensource"
}
}
🧙 Website Bellande API Testing
Quick Bellande API Testing
curl -X 'POST' \
'https://bellande-robotics-sensors-research-innovation-center.org/api/Bellande_Step/bellande_step_nd' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"node0": [0, 0, 0],
"node1": [100, 100, 100],
"limit": 75,
"dimensions": 3,
"auth": {
"authorization_key": "bellande_web_api_opensource"
}
}'
BS(Bellande Step) Algorithm API
Experiment 1 -- Limit = 1
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Figure 5D | Figure 6D | Figure 7D |
Figure 8D | Figure 9D | Figure 10D |
Experiment 2 -- Limit = 25
Figure 2D | Figure 3D | Figure 4D |
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Figure 5D | Figure 6D | Figure 7D |
Figure 8D | Figure 9D | Figure 10D |
Experiment 3 -- Limit = 50
Figure 2D | Figure 3D | Figure 4D |
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Figure 5D | Figure 6D | Figure 7D |
Figure 8D | Figure 9D | Figure 10D |
Experiment 4 -- Limit = 75
Figure 2D | Figure 3D | Figure 4D |
---|---|---|
Figure 5D | Figure 6D | Figure 7D |
Figure 8D | Figure 9D | Figure 10D |
Experiment 5 -- Limit = 100
Figure 2D | Figure 3D | Figure 4D |
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Figure 5D | Figure 6D | Figure 7D |
Figure 8D | Figure 9D | 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
✔️ 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.
# 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.
# 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
Installation
$ pip install bellande_robot_step
Upgrade (if not upgraded)
$ pip install --upgrade bellande_robot_step
Name: bellande_robot_step
Version: 0.3.0
Summary: Computes the next step towards a target node
Home-page: github.com/RonaldsonBellande/bellande_robot_step
Author: Ronaldson Bellande
Author-email: ronaldsonbellande@gmail.com
License: GNU General Public License v3.0
Requires: numpy
Required-by:
Published Paper
Coming Soon
Preprint
License
This Algorithm or Models is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License, see LICENSE and NOTICE for more information.