Optimal trajectory generation library given equality and inequality constraints (C++/Matlab)

A simple Python implementation of the Reeds-Shepp curves formulas.

ABC+PSO Path Planning

Different Searching algorithms (DFS, BFS, IDS, Greedy, A*) opting to find optimal path from source to destination

Implementation Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm in keras

Simple graph classes

Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".

This is the code implementation of the paper titled "UAV Path Planning based on Road Extraction"

Implementation of the G2RL approach in the POGEMA environment

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

🧭⚡ Implementation of path-finding algorithms in an availability grid. ( binary matrix )

Implementation of Latent Optimal Path by Gumbel Propagation for Variational Bayesian Dynamic Programming

Constraint-Aware Importance Estimation for Global Filter Pruning under Multiple Resource Constraints (CVPRW2020)

Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

Explore a map to find an optimal path from start to goal using classical search-based methods

Package for solving problems related to optimal tree search that implements algorithms for the solution of the four main problems of the subject: minimum cost trees, minimum cost arborescences, shortest path trees and minimal cut trees.

Optimal Path Planning in obstacle loaded map using Dijkstra

Medical imaging enables real-time, patient-specific data for needle insertion. Motion planning algorithms guide needles, avoiding obstacles in soft tissue. Obstacle recognition is achieved using ROS and k-means clustering. Needle path finding involves scanning the body, representing it on a grid, applying distance constraints to avoid organs