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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

autumnday.github.io

我的hexo博客

dynamic-voronoi-path-planning

Path planing for mobile robotics avoiding obstacles using Dynamic Voronoi diagrams . Was builded using ROS

image-processing-from-scratch

This project contains some interesting image processing algorithms that were wrote in python from scratch.

java_review

ltl_sampling

Sampling base path planning with LTL specifications for multi-vehicles

model-predictive-control

This package contains implementation for plan synthesis algorithms given a finite transition system (as the agent motion model) and a Linear temporal logic formula (as the agent task). It outputs the online path plan as a sequence of agent motion and action, required to fulfill the task.

robot-path-planning-based-on-linear-temporal-logic

Zhejiang University Undergraduate thesis project

ros-academy-for-beginners

**大学MOOC《机器人操作系统入门》课程代码示例

rrt-star-path-planning-with-turtlebot

Implementation of Rapidly exploring Random Trees algorithm to Turtlebot3 to navigate in a predefined location with static and dynamic obstacles.

rrt_star_global_planner

rrtx

Real-Time Path Replanning in Unexplored Environments with Unpredictable Obstacles

safety

a tool to translate co-safety linear temporal logic formulas into finite automata

sampling-based-path-planning

This code provides a implementation of RRT and Pruning.

slime-mould-algorithm-a-new-method-for-stochastic-optimization-

In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity. The proposed SMA is compared with up-to-date metaheuristics in an extensive set of benchmarks to verify the efficiency. Moreover, four classical engineering structure problems are utilized to estimate the efficacy of the algorithm in optimizing engineering problems. The results demonstrate that the algorithm proposed benefits from competitive, often outstanding performance on different search landscapes. The source codes and info of SMA are publicly available at: http://www.alimirjalili.com/SMA.html

srl_rhcf_planner

A move_base ROS global_planner plug-in that quickly finds from a socially-informed Voronoi diagram a set of homotopy classes and generates a kinodynamic trajectory, into the best class, by using an optimal sampling-based motion planner

the-first-git

tstar

T* : A Heuristic Search Based Path Planning Algorithm for Temporal Logic Specifications

voronoi_hsi

Multi robot coverage control in non-convex environments using ROS

voronoi_planner

ROS navigation stack base global planner plugin

vps

国外vps搭建教程