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mechArm 270-M5Stack

mechArm 270-M5Stack
mechArm 270-M5Stack
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$599.00
Features
Payload (kg)0.25
Reach (mm)270
Year of Prod.2022
New / Used ?NEW

HEY,MECHARM!

Have you ever imagined you could have a little robot that does everything? Not those giant ones in the sci-fi movies but a compact yet versatile robot. I have! And we actually made it into reality. Introducing mechArm -The most compact 6-Axis robot arm ideal for markers, designers & anyone who loves to create!

photo of myCobot Arduino with main features

 

Small But Mighty

Super lightweight, compact and powerful. Featuring a 6-axis design, mechArm offers 6 DOF highly precise motion control performance. With a built-in Raspberry Pi chip, mechArm integrates IO port and LEGO Port,putting ideas within reach so that you can go beyond the impossible to realize your full creativity.

LightWeight & Compact

Small and delicate mechArm is born with a lightweight and compact body, open your bag, take out your mechArm and let it do the rest of the creative work.

CAPABILITY WITHOUT LIMITS

 

Super versatile than you can imagine! Built for makers and designers to bring their ideas into reality, mechArm allows them to only focus on creativity. Picking and placing, playing Gomoku, drawing, voice control, visual tracking, laser engraving and more. The ability is only limited by your imagination.

 

 

 

 

PARAMETERS

Six degrees of freedom joint motion, 270mm radius of motion, to help achieve your ideal control.

EXCELLENT CONFIGURATION

mechArm is equipped with complicated and intelligent configuration, which highly satisfies your demands of creative secondary developments.

photo of myCobot Arduino with main features

OPEN-SOURCE INTERFACES

Based on different kinds of applications, open-source to its interfaces and enables to achieve objects recognition, facial recognition, image recognition etc.

ROS SUPPORTING

 

 

Developing in ROS - the world's mainstream robot communication framework, you can control mechArm and conduct algorithm verificationin under a virtual environment, which reduces the requirements for the experimental environment and improves the experimental efficiency.

 

 

Instructions

Gitbook
[Recommended reading]

gitbook link

Github

gitbook link

User Manual

gitbook link