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This repository consists of the Python implementation of a few multi-robot path-planning algorithms.
Optimizing allocation of distributed control multi-agent robotic network in search and rescue mission.
This algorithm deals with multi agent goal searching and migration in dynamic environment and is based on inverted ant colony algorithm. I have coded this algorithm in matlab
Cooperative Collision-Free Path Planning Approach For Autonumous Mobile Robots
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Hierarchical multi-agent systems for multiple UAVs
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
UAV (Unmanned Aerial Vehicle) path planning using the Genetic Algorithm parallelized with CUDA.
Genetic Algorithm Applied to UAV's Path Planning
Particle swarm optimization based target search
📍🗺️ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)
本库上传Leedcode解题代码
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
Path planning of robots or UAVs to track unknown and/or uncertain targets that could be stationary or mobile.
use some algorithm to solve the Route Planning. Including Genetic Algorithm(GA),Particle Swarm Optimization(PSO),ant colony optimization(ACO).
Investigation and simulation of carrying search and rescue missions with Particle Swarm Optimisation (PSO) for target searching and Genetic Algorithm (GA) for shortest path planning
Msc Robotics and Computation Final Project
智能算法-遗传算法、蚁群算法、粒子群算法实现。实现版本Java,Python,MatLab多版本实现
Swarm intelligence algorithms are ethology-based inspired algorithms where multiple agents cooperatively search for an optimal or near-optimal solution.
Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms
UAV SWARM Search Operation : SWARM of autonomous UAVs are to scan and search a defined arena to locate and identify described targets. **The Original project was moved to this Repository on January, 2020**
Offline trajectory planning for a swarm of UAVs using Boids model.
This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)
Multi agent strategy planning using GraWolf method (thesis for MSc thesis)
Terrain monitoring planner
TRACTA: Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment
旅行推销员问题(Travelling salesman problem, TSP),matlab代码实现
using actor-critic method to dealing with the path-planning UAV problem
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