FirstK

Check how Google cloud to teach Dobot magician to filter different candies with computer vision. Get it on http://www.dobot.cc directly.

Dobot Magician doing Chinese painting! With handhold teaching feature, you can teach Dobot magician to move the most intuitive way, and it repeats your movements exactly the same! http://dobot.cc/dobot-magician/product-overview.html We are recruiting local distributors now, no matter where are you from, please contact our sells manager tammy@dobot.cc or call 0086 755 36851911 directly to get more details. ====== Introduction ====== Dobot Magician is the second generation of high precision 4-axis robotic arm for desktops, developed and produced by Shenzhen Yuejiang Technology Co., Ltd. It is multi-functional and has unibody design, bringing everyone the fun only technology can create. It is also easy to develop with its multiple extension ports and visualized programming environment, making it a very useful tool for both hardware lovers and coding beginners. Functions & Features: 3D printing Writing & drawing Laser engraving Picking & sucking Handhold teaching Multi-Dobot cooperation Offline mode Specs: Unibody design High precision & stability End Tool quick switch Easy to operate with DobotStudio Rich extension ports for external modules Visualized programming environment https://www.kickstarter.com/projects/dobot/dobot-m1-pro-robotic-arm-for-makers-and-businesses?ref=43i95x

Get DOBOT Magician at https://www.dobot.cc/dobot-magician/product-overview.html

Get DOBOT Magician at https://www.dobot.cc/dobot-magician/product-overview.html

This is the robotic show about Dobot Magician painted Chinese traditional plum flower painting. Get Dobot Magician here: http://dobot.cc/dobot-magician/product-overview.html

Dobot Magician desktop Robotic arm with write & plot & paint,Pick& place,3D printer,laser engraving,visual recognition, graphic(blocky) programming with arduino,etc. for K12,STEM/STEAM education,makers,labs and light industry.

Dobot M1 Robotic Arm with Gomoku play , if you need more details, please email to simon@dobot.cc.