Elephant Robotics AGV | myAGV Pro


Variants: MyAGV PRO

Part No.: RBTX-ELE-0005

myAGV Pro – High‑Performance Omnidirectional Mobile Robot with Modular AI‑Ready Design

Technical Information The myAGV Pro delivers a 50 kg payload, 1.5 m/s top speed, and zero‑radius turning with its omnidirectional mobility system. It features a robust metal chassis, optional Mecanum wheels, independent suspension, 2D/3D LiDAR, and dual‑camera vision modules. It supports 10° inclines, automatic charging, and is optimized for stable operation in complex indoor environments.

Software, Interfaces, and Integration Pre‑installed with Ubuntu 22.04 and ROS2 Humble, the platform supports SLAM algorithms such as Gmapping, Cartographer, and RTAB‑Map, plus RViz and Gazebo simulation. It offers standardized interfaces including RS232, USB, Ethernet, and HDMI, and integrates seamlessly with robotic arms like myCobot 320, myCobot Pro 630, and myArm M750. Control is enabled via joystick, Python/C++ APIs, or visual UI

Application Areas Ideal for logistics automation, research, embodied‑AI training, smart‑home tasks, and education

Usual delivery time: 7-8w weeks

Weight
40
kg

Highlights

Technical Highlights

The Elephant Robotics myAGV Pro is a high-performance, modular autonomous mobile robot designed for advanced logistics, research, and AI-driven applications. Technically, it features an omnidirectional drive system with Mecanum/omni wheels enabling zero-radius turning and smooth navigation in confined spaces, combined with a 50 kg payload capacity and 1.5 m/s speed for efficient material handling. The platform supports a flexible perception stack with 2D/3D LiDAR and vision cameras, allowing accurate environment sensing and obstacle avoidance

Software Highlights

It runs on Ubuntu 22.04 with ROS2 Humble, supporting advanced SLAM algorithms such as Gmapping, Cartographer, and RTAB-Map for precise 2D/3D mapping and localization. It also integrates with NAV2 navigation stack, RViz, and Gazebo simulation, enabling seamless development, testing, and deployment. The system provides Python APIs, RS232 communication, and multiple I/O interfaces, making it easy to integrate with PLCs, robotic arms, and external devices. Additionally, its modular architecture, auto-charging capability, quick-swap LiFePO4 battery, and robotic arm compatibility (myCobot/myArm series) make it a scalable solution for smart factories, education, and autonomous mobile manipulation.

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