ROS.Taiwan 造訪社團

"Games have been a good starting point for the generation of intelligent systems that outperform humans, but going deeper into the realm of robots that are useful in human environments will require something more complex than games. And I’m talking about simulations."

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SLAM成果

歡迎對 ROS 有興趣的夥伴一起交流
哈爸

[直播] ROS meets Self-driving Cars: https://youtu.be/bownDxQsMxM

(直播日期: Sep 26, 2018 | 6 pm CEST)
Autonomous driving has been a hot topic recently. Technical giants like Google, Daimler and Bosch have invested heavily in this field, however, the development process can be tricky for such a complex system.

In this ROS Extra Class, you'll be introduced a broad overview of core components in self-driving cars and learn how you can easily begin developing self-driving cars with ROSDS (ROS Development Studio).

The whole code will be provided to all the attendants of this live-class.

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ROS.Taiwan的朋友們好呀！
在美麗的下午茶時間分享大家一個好康活動
IoT的科技浪潮席捲，你也不能落後 ❗ ❗
而如何在樹莓派上應用ROS進行智慧移動平台所應具有的ＳＬＡＭ與導航功能,進而實現無人自駕的概念！甚至運用在更多領域上，內容精彩，千萬不要錯過

10/6(六)的下午，由Maker狂人帶給你Raspberry Pi實驗衝擊 ⚠️
? ? ?

[Videos] Learning Movelt! with Sawyer robot in 5 weeks
http://www.theconstructsim.com/movelt-camp-learning-movelt…/

In this series of videos you will learn how to use MoveIt! package with industrial robots.

▸ Week 1: Get the Robot up and running.
▸ Week 2: Create the Movelt! package for Robot.
▸ Week 3: How to connect your MoveIt Setup with a Real/ Simulated Robot.
▸ Week 4: MoveIt Planning Interface: Obstacles in the robot workspace and how to avoid them.
▸ Week 5: 3D Perception with MoveIt.

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分享在2018台北國際機器人展展示採用ROS的類人手雛型影片，希望可以吸引更多年輕人來做機器人。

對 ROS 有興趣很久了，不過一點都不會，只好持續在群組裡潛水。

最近因為開放採果專案需要，玩一玩開始，順便野人獻曝一下！

哈爸

[LIVE STREAMING] Duckietown AI Driving Olympics
http://www.theconstructsim.com/ros-developers-live-class-d…/

The Duckietown project is devoted to teaching AI and machine learning with robots. Recently they launched the AI-Do Driving Olympics competition about self-driving cars.

In this series of three Live Classes we are going to see how to use simulations to program de Duckiebots solve the AI-Do competition and program simple self-driving cars.

▸ EP1 | Sep 11th, 2018
In this Live Class we'll see:
- How to set up a full Gazebo simulation of a Duckietown and Duckiebots with the proper ROS interface
- How to access the sensors and actuators of the Duckiebots
- How to create a simple navigation program for the robot

▸ EP 2 | Sep 18th, 2018
In this Live Class we'll see:
- How to use OpenAI to create a robot that follows the lines. We will use reinforcement Learning (DeepQ learning)

▸ EP 3 | Sep 25th, 2018
In this Live Class we'll see:
- How to manage traffic, avoiding other Duckiebots and handling intersections. We will use deep learning to train the robots.

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大家好! 不好意思打擾大家
之前有發問關於安裝ROS的問題，這次有些問題又要麻煩各位了!
目前我正在做的是"利用ROS與光達應用的無人車"，其中一項功能是slam建構地圖。
我所參考的資料是這篇文章https://www.ncnynl.com/archives/201611/1097.html

目前我的功能是在教程裡所說的
1.利用鍵盤控制kobuki並建立地圖，再利用地圖實現避障。
2.利用kobuki_random_walker的指令 來讓kobuki自動亂走slam，但不會在撞到障礙物之前避開 而是直接撞到障礙物才改變方向繼續移動，因此要避障也是得建完地圖後才能避障。

我想請問的是如果我想要讓kobuki可以只用2D光達實現自動移動slam並同時實現避障功能是有辦法的嗎?!
我在網上所看到的教程都是建構好地圖才能實現避障功能所以想問問大家!
目前我的環境是:
桌電安裝ubuntu14.04 LTS ROS indigo版本
raspberry pi 3B 安裝ubuntu16.04 MATE kinetic版本
移動機器人是 kobuki 的掃地機器人
光達感測器型號:hokuyo URG-04LX-UG01
讓樹莓派當Master 並用熱點模式且用電腦ssh連線樹莓派

之後會加裝kinect來增加其他功能，我有找到kinect的3D slam的相關資訊，但還沒開始學習，因為我連2D都沒有完全明白QQ
我有什麼不好的地方請大家多指教，讓我可以知道自己問題出在哪! 感謝大家幫忙