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myPalletizer artificial intelligence kit is an entry-level artificial intelligence suite integrating vision, positioning and grabbing, and automatic sorting modules. Based on the Linux system, build a 1:1 simulation model in ROS, which can realize the control of the robotic arm through the development of software. It is simple and easy to learn. It can quickly learn the basics of artificial intelligence, inspire innovative thinking, and comprehend the open-source creative culture.
The suit has good scalability and high openness and can be used for multiple purposes. It is easy to use the training platform of colleges and universities, the construction of robotics disciplines, the robotics laboratory, or personal learning and use.
Aruco code detection and tracking: precise positioning and calibration of the camera, and automatic capture
Color and image recognition: Using deep learning algorithms, users can use robotic arms to complete positioning, grabbing, and automatic sorting.
Control principle of the robotic arm
Use of End effector
With rich teaching demos such as color recognition, image recognition, and aruco code recognition, it helps users to understand the basic composition and working principle of the robot artificial intelligence vision kit more clearly and intuitively.
|Name||USB non-distortion lens|
|Maximum pixels||1 million 1280X720|
|Support image formats||YUV, MJPEG|
|Maximum frame rate||1280x720 @ 25fps|
|Supported resolution||1280X720, 640X480, 320X240|
|Power supply||DC5V 90mA|
|Lens focal length||standard 1.7mm|
|Field of view angle||≈60°|
|Supported systems||Win7/8/10, Linux, MAC|
|USB protocol||USB2.0 HS/FS|
This robot kit is awesome! My 10 year old son enjoyed to put it all together. The video instructions where very clear and easy. Great purchase.
Our policy lasts 7 days. If 7 days have gone by since your purchase, unfortunately we can’t offer you a refund or exchange.To be eligible for a return, your item must be unused and in the same condition that you received it. It must also be in the original packaging.
All products use standard cartons and special customized super hard paper shells to firmly fix the products and prevent damage from impact.
What are the differences between myCobot-M5, myCobot-Pi, myCobot-Jetson Nano, and myCobot for Arduino?
A robotic arm is a type of mechanical arm. It is usually programmable and assembles functions of a human arm. Such anarm is typically connected by joints that allow rotation or translational displacement.
Robotic arms are irreplaceable devices capable of performing a specific task or job quickly, efficiently, and with extreme accuracy in the modern production process. The earliest research on robotic arms dates back to the 1940s when US Argonne and Oak Ridge National Laboratories used remote robotic arms to deal with radioactive materials. After seventy year's development, robotic arms become one of the most common mechanical devices used in cutting, assembling, palletizing, spraying, and other occasions, and in medical surgery, aerospace exploration, military reconnaissance, etc.
myCobot-M5introduced by the year 2020 with M5 Stack Atom & Basic ESP32 with dual display screens, supporting the faster visual operation and monitoring work status, so programming MyCobot-M5 is simple and easy for every user. Based on M5 Stack Atom & Basic ESP32 providing a full range of IoT modules from main controllers, communication modules to the sensors and actuators, Mycobot-M5 is suited for users emphasizing high performance, reliability, and scalability. Practical cases range from studio helpers that can deliver tools to kitchen assistants that can cookcakes. On M5 Stack open platform, users can browse and search for open source hardware, API interface and diverse cooperation forms in a more cost-effective way.
myCobot-Piintroduced with Raspberry Pi 4B with 1.5GHz 4 core CPU, running on Debian/Ubuntu platform. Built-in ROS and blockly visual programming enable Mycobot-Pi to operate with relatively high scalability. It is regarded as the most affordable portable processor. As Raspberry Pi aims to promote basic computer science education in schools with low-cost hardware and free software, users can enjoy a friendly educational community with the help of the Raspberry Pi press and Raspberry Pi foundation. With numerous books for computing gaming and the inspirational community in an easy-to-use platform of Raspberry Pi, this version is suitable for users ranging from beginners who want to learn python or set up a lightweight platform, to STEM educators and institutions for further research.
myCobot-Jetson NanoBased on the Jetson Nano AI board and equipped with a camera, myCobot 280 Jetson Nano is capable of quick image processing, robotic algorithm developments, ROS simulation learning, etc. Being a powerful small artificial intelligence computer, it can be started by simply inserting a microSD card with a system image, which simplifies beginners' development. Besides, the Jetson Nano board includes a higher-performance and more powerful GPU (graphics processing unit), which leads to better outcomes in eye-in-hand robot projects compared with my robot Pi making more advanced R&Dpossible. Combined with Nvidia's powerful SDKs such as Deepstream, Vision AI applications and services, it is an ideal version to deepen AI and robotics learning for developers. This boosts the potential of the myCobot-Jetson Nano's secondary development.
l myCobot for ArduinoCompatible with multiple Arduino or Arduino-like boards and extensions. Arduino software is easy-to-use for beginners, yet flexible enough for advanced users. While most other microcontrollers systems are limited to Windows, the Arduino Software (IDE) runs on cross platforms including Windows, Macintosh OSX, and Linux OS. This version focuses on the integrity of robotic arms and pays more attention to improving the simplicity of research and development of users. With a range of Arduino boards (e.g. MKR WiFi 1010, UNO, Mega 2560, etc ) and extensible software to choose from, developers and designers can make their unique myCobot to meet their demands. As myCobot for Arduino provides a more open clear development environment, developers can even design their boards without necessarily relying on PCB'A (Printed Circuit Board Assembly). Furthermore, for teachers looking to bring some innovation into classrooms, Arduino Education is ready to empower educators with necessary hardware and software tools.
With myPalletizer M5 , you can learn that
Hardware: Embedded Microcontroller Based on ESP32, Motor and Steering Gear, M5Stack Basic/ Atom;
With myPalletizer Pi, you can learn that
Hardware: microprocessor, motor and steering gear;
myCobot 280: The net weight of myCobot is 850g, the payload is 250g, and the working range is 280mm.
myCobot 320:The net weight of myCobot is 3.5kg, the payload is 1kg, and the working range is 320mm.
myPalletizer 260:The net weight of myPalletizer is 960g, the payload is 300g, and the working range is 260mm.
myCobot Pro 600:The net weight of myCobot Pro is 8.8kg, the payload is 2kg, and the working range is 600mm.
A5: We provide customers with return and warranty services.Return service is limited to goods not opened within 7 days after the receipt date of logistics of the products. The freight or other risks incurred in return shall be borne by the customer.During the warranty period of the delivered product, the company only repairs the malfunctions that occur during the normal use of the robot for free. For more warranty content, please check out on the product details page.
A6: We ship worldwide and we use the following carriers: FedEx、UPS 、DHL. The products shall be delivered by International Express within 1-2 weeks. All products use standard cartons and special customized super hard paper shells to firmly fix the products and prevent damage from impact.
A7: For non-technical players, myPalletizer supports drag teaching function, which allows you to teach it every action and instruction you want. Get rid of the traditional path point storage mode, no programming is required. The saved path can be recorded, and different paths can be saved as long as 60mins at most.
A8: The repeated positioning accuracy of myCobot 280 is ±0.5mm, and the repeated positioning accuracy of myCobot 320 is ±0.3mm. The repeat positioning accuracy of the two manipulators is determined based on the length of use.
The positioning of the two products is not the same. The ER 280 robotic arm is a consumer type and is mostly used in the education field. It is recommended to use 1-2 hours to rest for 15-30 minutes. The repeat positioning accuracy can reach ±0.2mm in a short time.The ER 320 is suitable for commercial work within 12 hours, with a repeat positioning accuracy of ±0.3mm. If used in a short time, the repeat positioning accuracy can also reach ±0.2mm.
A9: The robotic arm does not have a camera. But we have machine vision-related kits now available for vision development.
Our Product Introduction and User Manual Link is https://www.elephantrobotics.com/myCobot/
Github-development Link ( software tutorial ) is https://github.com/elephantrobotics/myCobot/
Gitbook ( Web Version Detailed Tutorial ) is https://www.elephantrobotics.com/docs/myCobot/