Elephant Robotics myCobot 320

£2,475.05 £2,062.54
SKU
MYCOBOT-320
Add-Ons
  • Elephant Robotics myAGV 2023 Pi Mobile Platform

    Elephant Robotics myAGV 2023 Pi Mobile Platform

    £979.08 £815.90
  • myCobot Pro Camera Flange

    myCobot Pro Camera Flange

    £216.12 £180.10
  • myGripper F100 Force-Controlled Gripper

    myGripper F100 Force-Controlled Gripper

    £650.52 £542.10

Want to enhance your MyCobot 320 with AI-powered vision? Click here to check out the 3D Vision Kit.

Elephant Robotics myCobot 320 Series

The myCobot 320 Series from Elephant Robotics offers a flexible range of 6-axis collaborative robotic arms designed for professional-grade automation, AI integration, and educational prototyping. With a 1kg payload and 350mm working radius, the myCobot 320 balances compact size with reliable performance across multiple use cases.


Available Versions

  • myCobot 320 M5: ESP32-based with M5Stack controller for lightweight automation and educational tasks.
  • myCobot 320 Pi: Built-in Raspberry Pi 4B, ideal for ROS, AI vision, and Python-based robotics applications.

Compact Yet Capable

Each model in the 320 series features a 350mm working radius and supports up to 1kg of payload, making it ideal for handling, assembly, inspection, and academic research. Its compatibility with a wide range of programming languages—such as Python, JavaScript, and C++—along with support for ROS, LEGO, and the Grove interface, makes it a versatile tool for both developers and educators.


Feature Overview

Hardware Flexibility

Hardware Control

Options include ESP32 (M5), Raspberry Pi 4B, and full gripper bundles with air actuation and camera mounts, offering varied levels of onboard processing and expandability.

Multi-Platform Software

Software Platforms

All models support Python, ROS, Arduino, and Blockly-style visual programming, making them suitable for both academic institutions and R&D automation setups.

End-Effector Ready

Accessory Support

Supports common effectors such as suction cups, soft grippers, and parallel jaws. The All-in-One version includes the full accessory suite with plug-and-play compatibility.


Use Cases and Deployment

Whether you’re automating component assembly, training neural networks with camera input, or performing detailed motion control demonstrations, the 320 Series provides the hardware backbone needed. Raspberry Pi and Jetson variants are especially suited for AI vision, image processing, and robot perception training.


myCobot 320 Arm at Work

Connectivity & Motion Control

Communication interfaces include USB Type-C, GPIO, and optional camera integration. Real-time kinematics and a repeatability of ±0.5mm ensure stable, high-precision motion. This makes the 320 series particularly well-suited to pick-and-place tasks, controlled assembly, and repeated teaching cycles.


Creative Visual Development

The myCobot 320 M5 supports a free-to-match visual development interface, allowing users to explore mechanical motion principles through structural animation and simulation intuitively. Designed with educational and R&D environments in mind, it also supports enterprise-level communication protocols, making it suitable for integration into industrial control systems and custom automation networks.


Watch the myCobot 320 in Action

More Information
Technical Specifications

myCobot 320 Pi vs myCobot 320 M5 Comparison

Feature myCobot 320 Pi myCobot 320 M5
Degree of Freedom66
Payload1000g1000g
Working Radius350mm350mm
Positioning Accuracy±0.5mm±0.5mm
Weight3360g3360g
Working Temperature-5℃~45℃-5℃~45℃
Working Lifespan2000h2000h
Power InputDC 24V 120WDC 24V 120W
Joint Maximum Speed160°/s160°/s
MASTERRASPBERRY PIESP32
SOCBroadcom BCM2711/
CPU64bit 1.5GHz 4B/
GPU500 MHz VideoCore VI/
RAM2G/
BluetoothDual mode Bluetooth 2.4G/5G/
WiFi802.11AC, Dual mode/
AUXILIARY CONTROLESP32/
Computing Performance600DMIPS600DMIPS
SRAM520KB520KB
Flash4M4M
Bluetooth (Alt)/Dual mode Bluetooth 2.4G/5G
WiFi (Alt)/802.11ac
USBUSB3.0×2, USB2.0×2/
Type-C×1/
Network PortGigabit Ethernet Port×1/
Audio3.5mm×1/
HDMImicroHDMI×2/
Development Platforms (OS)Windows, Linux, macOSWindows, Linux, macOS
ProgrammingPythonPython, C++, C#, JavaScript
ROSROS1ROS1
Communication ProtocolSerial, MODBUS, TCP/IPSerial, MODBUS, TCP/IP
Development SoftwaremyBlockly, myStudiomyBlockly, myStudio, UIFlow, Arduino
I/O InterfacesINPUT×6, OUTPUT×6INPUT×6, OUTPUT×6
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