Topic: bug-algorithms Goto Github
Some thing interesting about bug-algorithms
Some thing interesting about bug-algorithms
bug-algorithms,Implementation of Bug's algorithms for mobile robots in V-REP simulator
User: ar0ne
bug-algorithms,MATLAB implementation of control and navigation algorithms for mobile robots
User: d-misra
bug-algorithms,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).
User: erfan-ashtari
bug-algorithms,Python implementation of Bug2 algorithm to navigate a quadcopter/multirotor in the AirSim simulator.
User: mehdishahbazi
bug-algorithms,Python implementation of Bug algorithms on 3-wheel omnidirectional and Webots simulation.
User: mohammadhashemii
bug-algorithms,Implementation of Bug Algorithms and Basic Forwards / Inverse Kinematics Equations.
User: nicholasrenninger
bug-algorithms,A collection of motion planning projects in Python 3 and YAML
User: nicholasrenninger
bug-algorithms,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).
Organization: our-projects-github
bug-algorithms,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.
User: qr34t0r
bug-algorithms,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).
User: shirin-chehelgami
bug-algorithms,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!
User: solonso
bug-algorithms,Implementation of wall-follow , bug0 algorithms
User: sravanchittupalli
bug-algorithms, Implementation of bug1and bug2 algorithms
User: sravanchittupalli
bug-algorithms,TASK1 for EYRC 2020
User: vish2001
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