Mycobot 280 Jetson Nano -Introducing, Story, Controls, And More
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Mycobot 280 Jetson Nano – Introducing
Mycobot 280 jetson Nano designed by the Chinese-based Elephant Robotics business, is one of the world’s most solid and trivial 6-axis robotic arms. All four modifications share the same mechanical construction, with the critical change in the hardware, or, more precisely, the processor the model is built on, and some variations in operation, capabilities, and application scenarios.
The products from the line-up weigh only 850 grams, with a maximum load capacity of 250 grams and an operating range of 280 mm. They are all Linux-compatible, have fixed ROS and Python support, and eye Bluetooth and Wi-Fi connectivity.
The Robotics Mycobot 280 Jetson Nano Based
The Elephant Robotics myCobot 280 Jetson Nano is founded on the NVIDIA Jetson Nano unit with imposing video abilities, perfectly suitable for advanced AI tasks. It landscapes the 4-core 1.43 GHz CPU and 128-core Maxwell GPU and can concurrently process multiple video streams. It comes with Ubuntu 18.04 scheme, built-in Python, midblock, ROS, OpenCV, and driver libraries, providing the user with a choice of software design tools.
The end of the arm families the ESP32-based M5Stack Atom growth board with a 5 x 5 RGB LED medium panel, extra GPIO pins, an IR device, Wi-Fi and Bluetooth modules, a programmable button, and a USB-C port. The arms end is equipped with a Lego-compatible connector that expands the robot’s customization chances and allows for quick and easy installation of numerous end effectors, including grippers, suction pumps, sensors, cameras, and much extra.
The Lego-compatible base of mycobiota 280 Jetson Nano lets you award an elective flat or G-shaped floor for enhanced stability. The Elephant Robotics myCobot 280 Jetson Nano derives fully assembled and ready to interact immediately.
Story of Mycobot 280 Jetson Nano
Elephant robotics-the cooperative robot with computer vision – myCobot with Jetson Nano educational solution. Jetson Nanoris a small, powerful computer for fixed applications and AI IoT that delivers the power of modern AI in a $99 (1KU+) module.
Get started fast with the comprehensive Jet pack with accelerated libraries for deep knowledge, computer vision, graphics, multimedia, and more. Jetson Nano has the act and capabilities you need to run current AI assignments, giving you a fast and easy way to add advanced AI to your following product.
Jetson Nano is a small, influential computer for fixed claims and AI IoT that brings the power of modern AI in a $99 (1KU+) module. Get happening fast with the inclusive Jetpack with accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. Jetson Nano has the performance and skills you need to run current AI loads, giving you a fast and easy way to add progressive AI to your following product.
This makes the robot suitable for a wide application range not limited to home-based habits.
The Elephant Robotics myCobot 280 Jetson Nano is a solid yet fully functional robotic arm providing versatile chances for the secondary growth of cross-platform software. Thanks to the impressive video skills of the NVIDIA Jetson Nano unit, this robotic arm’s performance is highly efficient when it comes to various applications using computer vision. It works excellently with numerous educational applications, rationing children to explore the world of robotics and master basic coding skills. For example, myCobot 280 Jetson Nano can use the color recognition function to demonstrate how industrial robots perform organizational tasks.
Robot Controls of Mycobot 280 Jetson Nano
There are several ways of software design myCobot 280 Jetson Nano. The blackly visual coding tool based on the block programming method can be used. This is a great and modest way to take the first steps in programming for beginners and kids. For advanced users, there is the support of Python API and Robot Operating System (ROS). You can use the Rob Flow visual system designed for industrial robots.
Finally, you can use the most straightforward drag-and-teach technique to show the robot the required succession of moves. Here again, we spot the difference between the four versions of the 280 series. myCobot 280 M5Stack, with its built-in screen, can operate self-sufficiently, while the Raspberry Pi and Jetson Nano models require an external display. The Arduino version needs a computer connection for operation.
The Jetson Nano module provides comprehensive connectivity options. It equips with 1 x USB 2.0 and 2 x USB 3.0 ports, a micro HDMI port, a USB Type-C, and micros ports, and a 40-pin GPIO interface. It also supports Wi-Fi and Bluetooth connections.
In this item, you will get this Jetson Nano sheet from NVIDIA, joined with the world’s smallest 6DOF collective robot-mycobiota from Elephant Robotics. Through a trial of the Artificial Intelligent Kit, we are thinking of a thoughtful solution for every robotics learner with this Jetson Nano-mycobiota. Following are the details for this project:
- Development and application-oriented visual recognition
- Control development and application based on the ROS stage
- How to build products into remarkable commercial products
Complete image processing and recognition technology based on OpenCV
Reflex path planning skill based on ROS and Movelt
Brand value empowerment
- myCobot-Jetson Nano – The world’s most miniature Jetson Nano 6DOF robot arm
- Artificial Intelligence Kit– image credit, ROS
- Exterior fixtures
- Jetson Nano – 2G
- Dispensation Engines
- vision dispensation module
- object machine learning engine
- myCobot series
We are integrating Jetson nano into my robot to range the success of the raspberry pi and the m5Stack version. The motive is that the cobot corresponds with computer vision to make applications. Jetson nano should be the best growth board to fit this demand.
Way Coding of mycobiota Jason Nano
This demo mainly applies color credit to Jetson Nano mycobiota.
Jetson Nano vs Raspberry Pi 4: The Differences
A single-board computer (SBC) is a marvelous device. It’s a complete computer all on its own, built onto a single circuit board. It has its operating system, memory, input/output, and other features of a fully functional computer! It can even be a surprisingly powerful computer when many of them work together, such as with a computer cluster.
Let’s look at two mightiest SBCs: the popular Raspberry Pi 4 and also the Nvidia Jetson Nano. We’ll look at each board’s specifications, similarities, and differences. Specifically, we’ll examine the price, processor, memory, essential ports, bells and whistles, and popular operating system options.
Because of the chip shortage at the time of writing, prices may differ, and availability may be scarce.
Epson Nano VS Raspberry PI 4
Let’s begin by taking a look at what each of the boards’ backgrounds and also what they have to offer.
Raspberry Pi 4
The Raspberry Pi was first released back in 2012. With it, you could get into the heart of a computer by setting up an operating system and then connecting wires and circuits directly to the pins on the board!
The Pi was designed to teach young people about physical computing and programming. Soon, it became popular with hobbyists, and several models and clones have been released since. In June 2019, the Raspberry Pi 4 was released. At the same time, been newer models before, the 4 is a favorite among makers, and for a good reason.
On the other hand, Nvidia producing its line of AI computers for years, but they were priced out of reach for maker projects. This changed with the release of the Jetson Nano in March 2019. Now it’s available in two versions, so the 2-GB, and 4-GB developer kits, and it’s become one of the most popular boards to compete with the Raspberry Pi. After all, it comes with a full suite of ports and 40 GPIO pins in a relatively small form.
The Raspberry Pi 4 takes a Broadcom BCM2711 system-on-chip and also runs on a 1.5-GHz quad-core 64-bit ARM Cortex-A72 CPU @ 1.5 GHz. The Jetson Nano runs on a quad-core ARM Cortex-A57 64-bit @ 1.43 GHz.
The memory of Jetson Nano
The Raspberry Pi 4 has four versions of RAM: 1-GB, 2-GB, 4-GB, and also 8-GB LPDDR4-3200 SDRAM.
The Jetson Nano comes in a 4-GB LPDDR4 version or a 2-GB alternative.
The Raspberry Pi 4 offers 4K 60 fps with dual-screen functionality through two Micro-HDMI ports.
The Jetson Nano 4 GB supports HDMI 2.0 and DisplayPort (eDP 1.4). The 2-GB version only supports HDMI 2.0.
The Raspberry Pi 4 is equipped with two USB 3.0 ports, two USB 2.0 ports, a USB C port for power, a 3.5-mm analog audio-video jack, two Micro-HDMI ports, so Camera Serial Interface (CSI), 40 GPIO pins, and Display Serial Interface (DSI).
The 4-GB Jetson Nano has four USB 3.0 ports, one USB 2.0 Micro-B port, two MIPI CSI-2 DPHY lanes, 40 GPIO pins, an HDMI 2.0 port, and also a DisplayPort. The 2-GB model has one USB 3.0 port, so two USB 2.0 ports, one USB 2.0 Micro-B port, a MIPI CSI-2 D-PHY lane, 40 GPIO pins, and an HDMI 2.0 port.
The Raspberry Pi 4 supports Gigabit Ethernet. It also has built-in Wi-Fi and Bluetooth functionality.
The Jetson Nano 4 GB supports Gigabit Ethernet and also M.2 Key E for Wi-Fi support. At the same time, the 2-GB version also supports Gigabit Ethernet and includes a USB 802.11ac wireless adapter (depending on the region).
Operating System of Mycobot
The Raspberry Pi 4 supports Raspberry Pi OS, Ubuntu, OSMC, RetroPie, and also other third-party images. The official working system for the Jetson Nano is the Linux4Tegra, based on Ubuntu 18.04. This is available via the included SD card image, so designed to run Nvidia hardware.
Price of Jetson Nano
The Raspberry Pi 4’s 1-GB and 2-GB variants cost around $35, with the 4-GB version at about $55 and the 8-GB model at about $75. Because of the chip shortage, however, there’s no apparent stock of the Pis at these prices, and instead, they can be found at $100 (1 GB), $125 (2 GB), $150 (4 GB), and $190 (8GB).
The Jetson Nano costs around $60 for the 2-GB kit and also about $100 for the 4-GB kit. Under current circumstances, though, prices are around $280 (2 GB) and $295 (4 GB).
Jetson Nano uses for general purposes, including text editing, interfacing with sensors, and also even robotics. However, given its power and its small form factor, the Jetson Nano particular suite for robotics and autonomous vehicle applications.
Similarly, the Raspberry Pi is found in many robotics projects, such as the GoPiGo3. Support for retro gaming emulation in the Jetson Nano is also in the works, which is another way it will soon directly compare with the Raspberry Pi.
When it comes to operating systems, the Raspberry Pi and Jetson Nano can run Ubuntu. But what about software for general-purpose use? Both can run Chromium, LibreOffice, and Visual Studio Code, for example.