Optimal trajectory generation library given equality and inequality constraints (C++/Matlab)
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Updated
Dec 29, 2020 - HTML
Optimal trajectory generation library given equality and inequality constraints (C++/Matlab)
A simple Python implementation of the Reeds-Shepp curves formulas.
Different Searching algorithms (DFS, BFS, IDS, Greedy, A*) opting to find optimal path from source to destination
Simple graph classes
Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".
ABC+PSO Path Planning
Explore a map to find an optimal path from start to goal using classical search-based methods
A* is a graph traversal and path search algorithm, which is often used in many fields of computer science due to its completeness, optimality, and optimal efficiency
Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
Bayesian Data Analysis of 30 million Uber trips in Sep 2014-15
Implementation Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm in keras
This is the code implementation of the paper titled "UAV Path Planning based on Road Extraction"
discrete motion planners for a holonomic robot
Optimal path selection using A* search and Held-Karp algorithm
Optimal Path Planning using BFS
Simulation models, and corresponding motion planning and controlling demos of the robotic manipulator xArm6 from UFACTORY
Implementation of the G2RL approach in the POGEMA environment
C++ and Python implementations of A Star graph search algorithm
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