bug-algorithms

There are 2 repositories under bug-algorithms topic.

• Safe-Deep-Learning-Based-Global-Path-Planning-Using-a-Fast-Collision-Free-Path-Generator

  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).

  a-starai2-thorai2thor-environmentartificial-intelligencebug-algorithmscollision-avoidancedeep-learningglobal-path-planningloss-functionslstm-neural-networksmotion-planningneural-networkobstacle-avoidancepath-planningrrt
  Language:Jupyter Notebook 20

• MehdiShahbazi / AirSim-Multirotor-Bug2-Algorithm

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

  airsimbug2bug2-algorithmdronemultirotornavigationquadcopterquadrotorsimulationuavrobotroboticsbug-algorithmsobstacle-avoidancepath-planningpath-planning-algorithmpathfinding
  Language:Python 19

• SravanChittupalli / Path-Planning-Algorithms-Part2

  Implementation of bug1and bug2 algorithms

  bug-algorithmsgazebogazebo-pluginros-kineticpython
  Language:Python 18

• mohammadhashemii / Bug-Algorithms-Simulation

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

  bug-algorithmsobstacle-avoidanceplanning-algorithmswebots
  Language:Python 14
• Mobile-robotics-navigation-algorithms

  d-misra / Mobile-robotics-navigation-algorithms

  MATLAB implementation of control and navigation algorithms for mobile robots

  mobile-roboticsyoubotmotion-planning-algorithmswall-followingbug-algorithmsparticle-filter-localizationwavefront-plannermatlabcoppeliasimrobotics-programming
  Language:HTML 9

• erfan-ashtari / 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).

  a-starai2-thorai2thor-environmentartificial-intelligencebug-algorithmscollision-avoidancedeep-learningglobal-path-planningloss-functionslstm-neural-networksmotion-planningneural-networkobstacle-avoidancepath-planningrrt
  Language:Jupyter Notebook 9

• SravanChittupalli / Path-planning-Algorithms-1

  Implementation of wall-follow , bug0 algorithms

  gazeboros-kineticrosroboticspythonworldbug-algorithms
  Language:Python 9

• ar0ne / v-rep-robotics

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

  bug-algorithmsvrep-simulatormobile-robotsvrep-robotics
  Language:Python 6

• mserra0 / OmniSeekers

  OmniSeekers is a robotic platform for search-and-rescue tasks, featuring a swarm of affordable omnidirectional robots. It combines Bug Algorithms and Bluetooth-based communication to explore indoor environments without GPS or SLAM, offering efficient, centralized control and modular development.

  autonomous-robotsbug-algorithmsmicropython-esp32omnidirectionalrobot-simulationroboticssearch-and-rescueswarm-robotics
  Language:Jupyter Notebook 5

• nicholasRenninger / bugAlgorithms_and_kinematics

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

  bug-algorithmsmotion-planning-algorithmsinverse-kinematicsmanipulatorvisualizationforward-kinematicsmotion-planning
  Language:Python 3

• vaithak / Semi-Autonomous-Differential-Drive

  Code for implementing localization, planning and control in an autonomous car using esp-32 microcontroller.

  bug-algorithmscontrolleresp32localizationmechatronicsmicrocontrollerpid-controlplanning
  Language:C 3

• nicholasRenninger / Motion-Planning-Projects

  A collection of motion planning projects in Python 3 and YAML

  motion-planningroboticsbug-algorithmsastar-search-algorithmgradient-descentwavefront-plannerprm-plannermanipulator-roboticspath-visualizationconfiguration-space
  2

• 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).

  a-starai2thor-environmentartificial-intelligencebug-algorithmscollision-avoidancedeep-learningglobal-path-planningloss-functionslstm-neural-networksmotion-planningneural-networksobstacle-avoidancepath-planningrrt
  Language:Jupyter Notebook 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!

  bug-algorithmsmatlabmotion-planningobstacle-detectionrobot-navigation
  Language:MATLAB 1

• vish2001 / ebot_task-EYRC2020

  TASK1 for EYRC 2020

  ebotrosros-melodicgazebo-rosrvizpython-scriptbug-algorithms
  Language:CMake 1

• 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.

  a-star-algorithmdijkstra-algorithmgrid-mapmappathfindingpathfinding-algorithmroboticsbrp-algorithmbug-algorithmsbresenham-line-drawing-algorithm
  Language:Python 0