Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: bug-algorithms

qr34t0r/BRP

A Bresenham's line based global path planning algorithm. A recursive path planning algorithm was developed that operates on the grid maps represented by a masked array and solves potential looping problems using a state machine-based loop breaking mechanism.

Language: Python - Size: 18.6 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

ar0ne/v-rep-robotics 📦

Implementation of Bug's algorithms for mobile robots in V-REP simulator

Language: Python - Size: 28.4 MB - Last synced: about 1 month ago - Pushed: over 4 years ago - Stars: 7 - Forks: 7

MehdiShahbazi/AirSim-Multirotor-Bug2-Algorithm

Python implementation of Bug2 algorithm to navigate a quadcopter/multirotor in the AirSim simulator.

Language: Python - Size: 8.79 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

mohammadhashemii/Bug-Algorithms-Simulation

Python implementation of Bug algorithms on 3-wheel omnidirectional and Webots simulation.

Language: Python - Size: 7.33 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0

shirin-chehelgami/Global-path-planning

Implementation of "Safe Deep Learning-Based Global Path Planning Using a Fast Collision-Free Path Generator". We present a global path planning method in this project which is based on an LSTM model that predicts safe paths for the desired start and goal points in an environment with polygonal obstacles, using a new loss function (MSE-NER).

Language: Jupyter Notebook - Size: 31.7 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

our-projects-github/Safe-Deep-Learning-Based-Global-Path-Planning-Using-a-Fast-Collision-Free-Path-Generator

Implementation of "Safe Deep Learning-Based Global Path Planning Using a Fast Collision-Free Path Generator". We present a global path planning method in this project which is based on an LSTM model that predicts safe paths for the desired start and goal points in an environment with polygonal obstacles, using a new loss function (MSE-NER).

Language: Jupyter Notebook - Size: 31.7 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

SravanChittupalli/Path-planning-Algorithms-1

Implementation of wall-follow , bug0 algorithms

Language: Python - Size: 33.2 KB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 3 - Forks: 2

SravanChittupalli/Path-Planning-Algorithms-Part2

Implementation of bug1and bug2 algorithms

Language: Python - Size: 39.1 KB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 10 - Forks: 4

vish2001/ebot_task-EYRC2020

TASK1 for EYRC 2020

Language: CMake - Size: 61.5 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

nicholasRenninger/bugAlgorithms_and_kinematics

Implementation of Bug Algorithms and Basic Forwards / Inverse Kinematics Equations.

Language: Python - Size: 936 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 2 - Forks: 1

nicholasRenninger/Motion-Planning-Projects

A collection of motion planning projects in Python 3 and YAML

Size: 204 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 1 - Forks: 1