In July, we launched myBuddy, a dual-arm collaborative robot with an ultra-high cost-performance ratio and a wide range of applications. This product line of Elephant Robotics not only injects a powerful new blood into the product line but also pushes the boundaries of collaborative robots, achieving dual-arm collaboration.
The myBuddy280 dual-arm collaborative robot is a co-branded product of Elephant Robotics and Raspberry Pi. It is a dual six-axis humanoid collaborative robot with a built-in 7-inch interactive display screen, 20+ built-in dynamic expressions that can be directly applied, dual 200W pixel high-definition cameras for image vision development, a standard 3.3V expansion I/O interface, a LEGO expansion interface, and can be equipped with various adapters such as suction pumps and grippers. It also provides machine vision learning tutorials, allowing users to directly start secondary product development.
01 Compact size, excellent value for money
The myBuddy dual-arm robot features dual six-axis collaborative robotic arms and a waist rotation joint, making it compact, lightweight, and flexible. Each arm can carry a load of 250g with a precision of 0.5mm.
Compared to large industrial-grade dual-arm collaborative robots that cost hundreds of thousands of dollars, myCobot series robotic arms are upgraded and mounted on the new myBuddy robot platform, thanks to their highly integrated product design and the unique attributes of their self-developed robot control platform. This provides users with desktop dual-arm collaborative robots priced around a thousand dollars, making the portable development and application of dual-arm robots no longer a problem.
02. Independently open source, supporting secondary development
Fully open control interface
With an open underlying software control interface, it can freely control over 100+ API interfaces such as potential values, angles, coordinates, and running speed, enabling rapid scientific research in multiple fields such as human-computer interaction, computer vision, machine learning, artificial intelligence, motion planning, mechatronics, manufacturing and automation.
In terms of hardware interfaces, myBuddy provides a variety of input/output interfaces, including: HDMI, USB, Grove, 3.3VIO, LEGO interface, RJ45 interface, etc.
Mainstream Programming Control
It supports the myBlockly graphical programming interface, which is simple and easy to use. You can build your own development program simply by dragging and dropping blocks. It also includes several robot application examples to make programming more systematic.
It supports Python programming language control, allows setting joint angles, robot coordinates, and real-time acquisition of speed and position, and supports user-defined secondary development and wireless control.
ROS1 Simulation Control
With its open ROS1 simulation development environment, built-in comprehensive forward and inverse kinematics algorithm modules for dual arms, freely customizable vision development applications, and intuitive mechanical motion principle analysis, you can start your intelligent manufacturing robot learning journey anytime, anywhere!
As an officially certified ROS partner, Elephant Robotics, drawing on its years of technical expertise in the ROS field, provides a built-in ROS development environment within the myBuddy operating system to facilitate greater understanding and learning of ROS. This environment supports RVIZ display, MOVEIT slider control, and follow display, making ROS development and usage more convenient for users.
For details, please see:
Official ROS partnership: https://robots.ros.org/mycobot/
03 Supports machine vision and deep learning
myBuddy features 13 degrees of freedom, a built-in LED Raspberry Pi human-computer interaction display, drag-and-drop teaching capabilities, touch programming of 20+ facial animations, and an HDMI port for VNC connection to a computer, enabling users to implement more development applications such as machine learning, computer vision, collaborative planning, and human-computer interaction.
It can acquire environmental information using two 200W pixel high-definition cameras at a 45-degree angle between the eyebrows and the jawline. Combined with deep learning, it can train a model on the target object and ultimately complete various interesting AI visual creations!
The camera located between the eyebrows can perform facial recognition and gesture recognition. The camera located on the chin can perform deep learning image recognition and other algorithms.
04 Supports dual-arm coordination
The myBuddy dual-arm collaborative robot offers greater flexibility, maneuverability, and load capacity compared to a single-arm robot. Through coordinated operation, both arms work in sync, transmitting data and rotating. Its ability to grasp and move objects, whether rigid or flexible, is significantly enhanced.
Dual-arm collaborative robots can effectively avoid collisions between their arms during operation; they can work together to achieve orderly control of complex tasks and reduce reliance on grippers.
05. Supports a variety of accessories
Elephant Robotics has developed more than 20 types of robotic arm end effectors.
myBuddy accessories include:
myBuddy is a desktop, lightweight, dual-arm collaborative robot designed for education and research. It is easy to use and comes with accompanying educational courses to help you improve your research and learning efficiency.
Elephant Robotics has developed a variety of professional-grade educational R&D products with different configurations, including myCobot, mechArm, myPalletizer, and myAGV. myBuddy, developed over two years, is a dual-arm collaborative robot specifically designed for robot users. Its design references the integrated rounded corner design language of the myCobot series, resulting in a simple and aesthetically pleasing overall industrial design. While ensuring the range of motion of both arms, it also significantly expands the overall workspace, increasing the working range by over 400% compared to a single-arm robot. The product utilizes as many as three auxiliary control chips, increasing the development difficulty by over 300% compared to single-arm control.
