Elephant Robotics myCobot 280 Raspberry Pi 8GB RAM is a 6-axis collaborative robot that integrates the most powerful version of the Raspberry Pi 4B microprocessor. This model breaks the hardware barriers of standard educational robotics, being capable of running heavy development environments, lightweight virtual machines, and massive parallel processing of sensory data. It is the ideal tool for universities, AI research labs, and software developers who require massive memory resources for robotic computing.

The 8GB RAM allows for smooth operation of the Ubuntu OS alongside multiple ROS nodes, real-time video processing algorithms, and local databases without performance degradation.

Advantages of the 8GB RAM Variant:

Elimination of Memory Bottlenecks: It can load large neural network models directly into RAM.

Fast Compilation: Code compilation time directly on the robot (for C++ / ROS) is significantly reduced compared to 2GB/4GB variants.

Desktop Usage: It can be used as a full desktop computer while simultaneously controlling the robot's movements.

Primary Applications

STEM Education: Learning robotics, kinematics, and programming in an interactive way.

Research and Development: Prototyping small assembly lines or testing AI algorithms.

Laboratory Automation: Handling test tubes or small samples.

Art and Creativity: Programming the robot to paint, draw, or perform repetitive movements for video filming.

Technical Specifications

Robotic Arm

Degrees of Freedom (DoF): 6 independent axes.

Maximum Working Radius (Reach): 280 mm.

Maximum Payload: 250 g.

Precision and Repeatability: +/- 0.5 mm.

Total Weight: 850 g (extremely portable).

Construction Material: High-strength industrial nylon.

Movement Speed: Up to 165 degrees per second (per axis).

Servo Motors: 6 intelligent motors with integrated feedback for position, temperature, and torque.

Power Supply: DC 12V, 5A.

Operating Temperature: Between -5 and 45 degrees Celsius.

Integrated Control Unit

Processor (CPU): Broadcom BCM2711, Quad-core Cortex-A72 (ARM v8) at 1.5GHz.

RAM Memory: 8 GB LPDDR4-3200 SDRAM (maximum capacity).

Operating System: Optimized Ubuntu Mate 20.04 or Raspberry Pi OS.

Storage: MicroSD Card (32GB/64GB included, supports up to 256GB).

Connectivity:

Dual-band WiFi (2.4GHz / 5.0GHz).

Bluetooth 5.0.

Gigabit Ethernet.

2 x USB 3.0 ports and 2 x USB 2.0 ports.

2 x Micro HDMI ports (supports 4K resolution).

40-pin GPIO Header for external sensors.

Programming and Development Environments

Graphical Interfaces: myBlockly (for logic scenarios without code).

High-Level Programming: Python (pymycobot), C++, C#, Java.

ROS Support: Fully compatible with ROS 1 and ROS 2. Allows the use of advanced tools like MoveIt for complex kinematics and RViz for high-fidelity simulations.

AI Capabilities: Thanks to the 8GB RAM, the robot excels in:

Real-time object recognition (YOLO, MobileNet).

Complex Natural Language Processing (NLP) for voice commands.

Simultaneous Localization and Mapping (SLAM) when mounted on mobile bases.

Design and Extensibility

Base: Equipped with mounting holes and LEGO compatibility, allowing it to be fixed on various surfaces or mobile platforms.

End-effector: Features a flange with communication pins and standard mounting holes. Various accessories can be attached, such as:

Adaptive or pneumatic grippers.

Suction cups for vacuum lifting.

Holders for cameras or writing instruments.

Status Screen: While the base is powered by Raspberry Pi, the arm's head features a small LED module or interface to display the robot's status.