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
ABC+PSO Path Planning
Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".
Explore a map to find an optimal path from start to goal using classical search-based methods
Implementation Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm in keras
Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
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
Bayesian Data Analysis of 30 million Uber trips in Sep 2014-15
This is the code implementation of the paper titled "UAV Path Planning based on Road Extraction"
Optimal path selection using A* search and Held-Karp algorithm
Optimal Path Planning using BFS
discrete motion planners for a holonomic robot
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
Calculating the minimum cost and optimal path for a graph using bfs, dfs, and ucs in Artificial Intelligence
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