Algorithm repo for robotics and general
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Updated
May 25, 2024 - C++
Algorithm repo for robotics and general
Java and Python implementations of the A* (A Star) path planning algorithm. Includes example test driver command line program.
Mesh Navigation Stack
Software for guidance, navigation and control for the Vortex AUVs. Purpose built for competing in AUV/ROV competitions.
Solve grid-based pathfinding challenges efficiently. Our tool transforms grids into SAT problems using Kripke Structures and Boolean formulas, ensuring step-by-step validity while avoiding collisions. Simplify navigation in dynamic environments with central and dynamic agents.
Python implementation of common pathfinding algorithms in 3D grid space
Real-time global path planning algorithm for dynamic environments
Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
Developed Autonomous Robot Planning with RRT, RRT*, RRT*smart, and RRTconnect Algorithms, validated on 2D maps as well as 3D simulation of Turtlebot3 in Gazebo within a Custom Maze Environment.
Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"
Open-source Autonomy Software in Rust-lang using gRPC for the Roomba series robot vacuum cleaners. Under development.
Single robot path planning algorithms implemented in Python. Including heuristic search and incremental heuristic search methods. A*, PEA*, EPEA*, LPA*, D*Lite
A python package for planning surveys over large areas using one or more UAV (Unpersoned Aerial Vehicle).
C++ Implementation of Path Planning Algorithms based on the Python Implementation by Huiming Zhou (https://github.com/zhm-real)
Efficient implementations of the Lazy Theta Star algorithm in C++, and a Python wrapper.
Robotics Project (Industrial Robotics and Mobile Robotics).
MGPFD: a dataset for multi-goal path finding (MGPF) problerm. S®: End-to-end learningbased model for multi-goal path planning problem
a dataset for training region prediction model in path planning field
Multi robot path planning algorithms implemented in MATLAB. Including heuristic search and incremental heuristic search methods. MRPP or MAPF
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