Pinned Repositories
3D_path_planning
UAV's 3D path planning algorithm with MATLAB
ACO---Robot-Path-Planning
Simulation of a paper which has used Ant Colony Optimization algorithm for robot path planning ...
ACO_path_planning
Python implementation of the ACO algorithm for solving path planning problems
algorithm
各种算法代码仓库
algorithm-UAV-path-planning
ant_colony_algorithms_for_multi_agents
this is a multi-agent algorithm in task planning level based on ant colony algorithms.
Barrier-free-Traverse
设置不同的栅格地图，采用TSP问题的求解思路，应用多种算法实现单个机器人在有障碍和无障碍情况下的全覆盖路径规划： 动态规划、分支限界、蚁群算法、模拟退火以及简单的弓字型遍历。还实现了MTSP，即多旅行商问题。
ch-1-3
Project files for RISCuer: A Reliable Multi-UAV Search and Rescue Testbed
cooperative-agents-search-algorithm
This project aims to create 2 agents that cooperate in order to find the food they need to survive. They have a limited radius of perception of the world and use A* search to find the path to the food they need.
UAV-Path-Planning-in-SAR-Missions
Optimization of UAV paths in Search and Rescue (SAR) missions, utilizing a variety of metaheuristic techniques.
BTMOP's Repositories
BTMOP/UAV-Path-Planning-in-SAR-Missions
Optimization of UAV paths in Search and Rescue (SAR) missions, utilizing a variety of metaheuristic techniques.
BTMOP/ant_colony_algorithms_for_multi_agents
this is a multi-agent algorithm in task planning level based on ant colony algorithms.
BTMOP/Barrier-free-Traverse
设置不同的栅格地图，采用TSP问题的求解思路，应用多种算法实现单个机器人在有障碍和无障碍情况下的全覆盖路径规划： 动态规划、分支限界、蚁群算法、模拟退火以及简单的弓字型遍历。还实现了MTSP，即多旅行商问题。
BTMOP/Cooperative-Search
Multi-agent RL algorithms are applied to large-scale cooperative target searching mission
BTMOP/E2RPSO
Exploration Enhanced RPSO for Collaborative Multi-target Searching of Robotic Swarms
BTMOP/Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
BTMOP/Hybrid_Levy_PSO_Search-Masters-Thesis-
Coordinated Multi-Robot Movement for Highly-Constrained Exploration Operations Using a Hybrid Algorithm Combining Levy Flight and Particle Swarm Optimization
BTMOP/IntelligentUAVPathPlanningSimulationSystem-Drone
Intelligent UAV path planning simulation system is a software with fine operation control, strong platform integration, omnidirectional model building and application automation. It takes the UAV war between A and B in Zone C as the background. The core function of the system is to plan the UAV route through the simulation platform and verify the output. The data can be imported into the real UAV to make it accurately arrive at any position in the battlefield according to the specified route and support the joint action of multi-person and multi-device formation.
BTMOP/LGSearch_DDGAN_PyTorch
Tracking by Joint Local and Global Search: A Target-aware Attention based Approach (IEEE TNNLS 2021)
BTMOP/MPSO
Motion-Encoded Particle Swarm Optimization Algorithm
BTMOP/Multi-UAV-Task-Assignment-Benchmark
A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem
BTMOP/multi_agent_path_planning
This repository consists of the Python implementation of a few multi-robot path-planning algorithms.
BTMOP/multi_agent_relief_support
Optimizing allocation of distributed control multi-agent robotic network in search and rescue mission.
BTMOP/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
BTMOP/NeurIRS2019DroneChallengeRL
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones
BTMOP/paper-simulation
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
BTMOP/path-planning
Genetic Algorithm Applied to UAV's Path Planning
BTMOP/pso_planner
Particle swarm optimization based target search
BTMOP/pymapf
📍🗺️ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)
BTMOP/Route-Planning
use some algorithm to solve the Route Planning. Including Genetic Algorithm(GA),Particle Swarm Optimization(PSO),ant colony optimization(ACO).
BTMOP/Swarm-Intelligence-based-Algorithms
Swarm intelligence algorithms are ethology-based inspired algorithms where multiple agents cooperatively search for an optimal or near-optimal solution.
BTMOP/swarmlib
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)
BTMOP/TRACTA
TRACTA: Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment
BTMOP/UAV-NDFT
[ICCV 2019] "Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach"
BTMOP/UAV-Search
Drone 2D path planning, object detection and objects geo-localization for search and rescue applications.
BTMOP/UAV-task-allocation-PSO
基于粒子群算法多无人机任务分配
BTMOP/uav_data_harvesting
Python implementation of DDQN multi-UAV data harvesting
BTMOP/uav_path_planning
Using the Artificial Potential Field Algorithm to avoid obstacles and reach a goalpoint
BTMOP/XTDrone
UAV Simulation Platform based on PX4 and ROS
BTMOP/Zebro-Search-and-Rescue
Code to let a swarm of Zebro robots effectively work together to search an area, locate a target and then form a path from the start to the target using their own bodies.