Topic: "bug-algorithms"
MehdiShahbazi/AirSim-Multirotor-Bug2-Algorithm
Python implementation of Bug2 algorithm to navigate a quadcopter/multirotor in the AirSim simulator.
Language: Python - Size: 8.8 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 3
mohammadhashemii/Bug-Algorithms-Simulation
Python implementation of Bug algorithms on 3-wheel omnidirectional and Webots simulation.
Language: Python - Size: 7.33 MB - Last synced at: 7 days ago - Pushed at: almost 4 years ago - Stars: 14 - Forks: 4
SravanChittupalli/Path-Planning-Algorithms-Part2
Implementation of bug1and bug2 algorithms
Language: Python - Size: 39.1 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 4
d-misra/Mobile-robotics-navigation-algorithms
MATLAB implementation of control and navigation algorithms for mobile robots
Language: HTML - Size: 12.8 MB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 1
ar0ne/v-rep-robotics 📦
Implementation of Bug's algorithms for mobile robots in V-REP simulator
Language: Python - Size: 28.4 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 7
vaithak/Semi-Autonomous-Differential-Drive
Code for implementing localization, planning and control in an autonomous car using esp-32 microcontroller.
Language: C - Size: 6.66 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 1
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 at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
SravanChittupalli/Path-planning-Algorithms-1
Implementation of wall-follow , bug0 algorithms
Language: Python - Size: 33.2 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 2
nicholasRenninger/bugAlgorithms_and_kinematics
Implementation of Bug Algorithms and Basic Forwards / Inverse Kinematics Equations.
Language: Python - Size: 936 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 1
solonso/Motion-planning-bug-algorithm
Navigate robots intelligently with MATLAB! Bypass obstacles and find direct paths effortlessly. Visualize every step of your robot's journey. Perfect for beginners and experts alike. Upgrade your robot's intelligence now!
Language: MATLAB - Size: 350 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
vish2001/ebot_task-EYRC2020
TASK1 for EYRC 2020
Language: CMake - Size: 61.5 MB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
nicholasRenninger/Motion-Planning-Projects
A collection of motion planning projects in Python 3 and YAML
Size: 204 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 1
sinaapolo969/Bug-Algorithms
I implemented Bug algorithms (Bug0, Bug1, Bug2), for E-puck robot, in the Webots simulator.
Language: Python - Size: 154 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
sbaglieri13/Tangent_bug_simulator
Simulator of the Tangent Bug algorithm for autonomous robot navigation, including visualization of paths and obstacle avoidance
Language: Python - Size: 1.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
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 at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - 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 at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
