Bellande Step Algorithm that efficiently computes the next step towards a target with directionality and segmentation capabilities
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.gitignore | ||
api_docs.md | ||
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README.md |
📦 Bellande Step (Infinite Dimensions)
API Usability
{
"url": "https://bellanderoboticssensorsresearchinnovationcenter-kot42qxp.b4a.run",
"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"
}
}
Quick APi Testing
curl -X 'POST' \
'https://bellanderoboticssensorsresearchinnovationcenterwebsite-kot42qxp.b4a.run/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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Experiment 2 -- Limit = 25
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Experiment 3 -- Limit = 50
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Experiment 4 -- Limit = 75
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Experiment 5 -- Limit = 100
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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
API in api_docs
- Temporarily Enabled for OpenSource
- 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_robot_step.bellande_robot_step_2d import bellande_step_2d, Node2D
# 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_robot_step.bellande_robot_step_3d import bellande_step_3d, Node3D
# 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
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
License
This Algorithm or Models is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License, see LICENSE and NOTICE for more information.