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)

🧙 Organization Website

  • Organization Website

🧙 Organization Github

  • Organization Github

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

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 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

License

This Algorithm or Models is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License, see LICENSE and NOTICE for more information.