myPalletizer

myCobot

APPEARANCE IS FULLY WRAPPED DESIGEN The optimal space-removing fin design concept that can be loaded into a backpack subverts the traditional link-type educational four-axis robotic arm.

Raspberry Pi 4B, 1.5GHz 4-core microprocessor, powerful AI computing power, infinite possibilities for development.It is easy to get started and use, and the graphical programming language allows you to easily start the journey of using the robotic arm.The patented Lego hole design is shared globally, and the my-series hardware ecological platform concept is implemented, and the end accessories are plug-and-play.Four degrees of freedom joint motion, 260mm radius of motion, to help achieve your ideal control

For more information about hardware and software, please see https://www.elephantrobotics.com/en/mypalletizer-260-pi-en/.

0.0.1. Mechem supports ROS1 and ROS2

https://docs.elephantrobotics.com/docs/gitbook-en/12-ApplicationBaseROS/

Show EOL distros:

Contents

Overview
1. Homepage
2. Source Package
Installation
1. Option 1: Docker
2. Option 2: Local
Tutorial
Videos
Report a Bug

Overview

1. Homepage

https://www.elephantrobotics.com/en/mypalletizer-260-pi-en/

2. Source Package

https://github.com/elephantrobotics/mycobot_ros

Notes:

Make sure that Atom is flashed into the top Atom and Transponder or minirobot is flashed into the base Basic .The tool download address: https://github.com/elephantrobotics/myCobot/tree/main/Software

Supported ROS versions:

Ubuntu 16.04 / ROS Kinetic
Ubuntu 18.04 / ROS Melodic
Ubuntu 20.04 / ROS Noetic

Installation

1. Option 1: Docker

There are two ways to run this project. The first is by running the project in a container, and this requires installing docker (https://docs.docker.com/engine/install/ubuntu/) and installing docker-compose (https://docs.docker.com/compose/install/). The benefit of running in the container is that you can run the project in any version of Linux, as long as your kernel is new enough.

Once docker is installed, run the following command, and the project should show up.

without NVIDIA GPU:

docker-compose build ros && xhost +local:root && docker-compose up ros

with NVIDIA GPU

docker-compose build nvidia-ros && xhost +local:root && docker-compose up nvidia-ros

This command does three things: 1) docker-compose build ros

This builds the project in a container. That means nothing is installed on your host machine! The first time this runs, this command will take a long while. After running it once, caching will allow this command to run quickly.

2) xhost +local:root

This command gives X the ability to display GUI's from within the docker container

3) docker-compose up ros

This runs the image specified in the docker-compose.yml, which by default runs the command roslaunch mycobot_320 mycobot_320_slider.launch within the container.

2. Option 2: Local

2.1. 1.1 Pre-Requriements

For using this package, the [Python api](https://github.com/elephantrobotics/pymycobot.git) library should be installed first.

pip install pymycobot --user

2.2. 1.2 Package Download and Install

Install ros package in your src folder of your Catkin workspace.

$ cd ~/catkin_ws/src

$ git clone --depth 1 https://github.com/elephantrobotics/mycobot_ros.git

$ cd ~/catkin_ws

$ catkin_make

$ source ~/catkin_ws/devel/setup.bash

2.3. 1.3 Test Python API

cd ~/catkin_ws/src/mycobot_ros

python test.py

Tutorial

https://docs.elephantrobotics.com/docs/gitbook-en/2-serialproduct/2.4-myPalletizer260/2.4-myPalletizer260.html

Videos

1. myPalletizer Raspberry Pi | The Most Compact 4-axis Robotic Arm

2. myPalletizer | Artificial Intelligence Kit

3. Unboxing | myPalletizer 260 Raspberry Pi Robotic Arm

Report a Bug

Please, check and open issues here: https://github.com/elephantrobotics/mycobot_ros/issues support@elephantrobotics.com