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btmop's Projects

aco_path_planning icon aco_path_planning

Python implementation of the ACO algorithm for solving path planning problems

barrier-free-traverse icon 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 icon ch-1-3

Project files for RISCuer: A Reliable Multi-UAV Search and Rescue Testbed

cooperative-agents-search-algorithm icon 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.

cooperative-search icon cooperative-search

Multi-agent RL algorithms are applied to large-scale cooperative target searching mission

cooperative_search icon cooperative_search

This is an experiment about multi-agent cooperatively searching stationary targets using reinforcement learning algorithm.

drones-swarm icon drones-swarm

Adaptive exploration of a UAVs swarm for distributed targets detection and tracking

e2rpso icon e2rpso

Exploration Enhanced RPSO for Collaborative Multi-target Searching of Robotic Swarms

freesearch icon freesearch

UAV search patterns based on assuming each drone is a free agent seeking to maximize profit

infogan icon infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

intelligentuavpathplanningsimulationsystem-drone icon 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.

lgsearch_ddgan_pytorch icon lgsearch_ddgan_pytorch

Tracking by Joint Local and Global Search: A Target-aware Attention based Approach (IEEE TNNLS 2021)

mission_planning icon mission_planning

Mission Planning & Task Allocation - Team A for UAV Swarm Project for BAE Systems UAV Swarm Challenge

mpso icon mpso

Motion-Encoded Particle Swarm Optimization Algorithm

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