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Name: Hsiao Ray
Type: User
Company: DLUT
Bio: If you have the shot, you take it!
Location: China
Name: Hsiao Ray
Type: User
Company: DLUT
Bio: If you have the shot, you take it!
Location: China
智能系统实验室-2018新人暑期培训计划
Homework Statistics of SummerCamp2018
An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)
When born, animals and humans are thrown into an unknown world forced to use their sensory inputs for survival. As they begin to understand and develop their senses they are able to navigate and interact with their environment. The process in which we learn to do this is called reinforcement learning. This is the idea that learning comes from a series of trial and error where there exists rewards and punishments for every action. The brain naturally logs these events as experiences, and decides new actions based on past experience. An action resulting in a reward will then be higher favored than an action resulting in a punishment. Using this concept, autonomous systems, such as robots, can learn about their environment in the same way. Using simulated sensory data from ultrasonic sensors, moisture sensors, encoders, shock sensors, pressure sensors, and steepness sensors, a robotic system will be able to make decisions on how to navigate through its environment to reach a goal. The robotic system will not know the source of the data or the terrain it is navigating. Given a map of an open environment simulating an area after a natural disaster, the robot will use model-free temporal difference learning with exploration to find the best path to a goal in terms of distance, safety, and terrain navigation. Two forms of temporal difference learning will be tested; off-policy (Q-Learning) and onpolicy (Sarsa). Through experimentation with several world map sizes, it is found that the off-policy algorithm, Q-Learning, is the most reliable and efficient in terms of navigating a known map with unequal states.
This is a ROS package, which can make the turtlebot follow an pre-selected object. The visual tracking algorithm is TLD.
The release package for the ROS package tld_turtlebot_follower
Official MATLAB toolkit for generic object tracking benchmark GOT-10k
基于ros下应用深度相机的kcf追踪算法实现
Traffic Sign Recognition for autonomous vehicles applications using ROS to control a turtlebot.
mooc-清华数据结构与算法(邓俊辉) OJ习题
Turtle Bot SLAM Project with Obstacle Avoidance
Turtlebot autonomous SLAM, AR tag tracking, color track, voice control
Turtlebot follows color pink and if it detects an obstacle it moves around the obstacle
This repo documents our work for the ECEN 631 - Robotic Vision final project at BYU. Here we use person tracking from a mono camera feed to get a TurtleBot following a person.
Project Repo for Turtlebot Project for ECE 6562
Customisable Turtlebot tracking behaviour, using ROS and OpenCV.
EE 631 Project
This is a ROS package for a turtlebot follower
Meta-package for the turtlebot guide aims at developing a robot that is able to guide the follower to the destination safe.
Turtlebot navigation and obstacle avoidance
This project was completed on May 15, 2015. The goal of the project was to implement software system for frontier based exploration and navigation for turtlebot-like robots.
Turtlebot for self-parking while using LeapMotion for manual control when desired and gesture inputs
Waypoint following with obstacle avoidance using ROS in matlab
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.