Elephant Robotics myAGV 2023 Jetson Nano is an autonomous mobile robot platform (Automated Guided Vehicle) powered by the NVIDIA Jetson Nano 4GB processing module (472 GFLOPS).

Equipped with 360° LiDAR sensors, omnidirectional Mecanum wheels, and a 5MP HD camera, it runs on ROS and NVIDIA JetPack SDK. This platform is engineered for advanced Computer Vision, Edge AI workloads, SLAM navigation, and building Mobile Manipulator composite systems when paired with myCobot or MechArm robotic arms.

The chassis benefits from the same 2023 generation upgrades: high-precision planetary gear brushless DC motors and detachable Mecanum wheels for omnidirectional movement, all protected by a durable metal shell. The robot runs a customized version of Ubuntu 18.04 with built-in ROS support, providing the perfect foundation for advanced Deep Learning, machine vision, 2D/3D SLAM mapping and navigation, as well as interaction with robotic arms from the myCobot, mechArm, or ultraArm series.

Key Features and Compatibilities

Accelerated AI Performance: The integration of the NVIDIA Jetson Nano platform allows deep learning algorithms to run directly on the robot (edge computing), reducing latency in object tracking, facial recognition, or autonomous obstacle avoidance applications.

Composite Robot Solutions: The mechanical structure is pre-drilled and configured as standard to directly mount Elephant Robotics arms (such as the myCobot 280 Jetson Nano), transforming the platform into a mobile manipulative robot ideal for research labs or universities.

Edge AI & Advanced Use Cases

Real-Time Computer Vision & Deep Learning: Harness the 128 CUDA cores to execute object recognition, tracking, and classification models (YOLO, MobileNet) locally with zero cloud latency.

3D Mapping & Autonomous SLAM Navigation: Run complex real-time navigation, dynamic obstacle avoidance, and precise route planning in indoor and industrial environments.

Composite Mobile Manipulator Systems: Combine the mobile chassis with Elephant Robotics myCobot 280 Jetson Nano or MechArm 270 for automated vision-guided Pick & Place operations.

Compatible Accessories & Ecosystem

Robotic Arms (Mobile Manipulators):

Elephant Robotics myCobot 280 (Pi / Jetson / M5): 6-axis articulated robotic arm for sorting and manipulation.

Elephant Robotics MechArm 270: Industrial-type articulated robot arm for high-precision tasks.

Elephant Robotics UltraArm P340: 3-axis precision robotic arm with stepper motors for repetitive pick and place operations.

Vision & Sensing Add-ons:

3D Depth Cameras (Intel RealSense D435 / Orbbec Astra Pro 2): For 3D spatial mapping and depth-based object perception.

Hardware Accessories:

7-inch LCD Touchscreen: For real-time system diagnostics and native ROS interface interaction.

End Effectors: Adaptive grippers, suction cups, and pneumatic modules.

Technical Specifications

Main Controller: NVIDIA Jetson Nano B01 (4GB RAM)

Processor (CPU): Quad-core ARM Cortex-A57 at 1.43 GHz

Graphics Processor (GPU): NVIDIA Maxwell with 128 CUDA cores

Secondary Controller: ESP32 with 4MB Flash

Operating System: Ubuntu 18.04 (optimized by Elephant Robotics)

Chassis and Traction: 4 omnidirectional Mecanum wheels (detachable/replaceable)

Motor Type: Planetary Brushless DC Motors

LiDAR Sensor: 360-degree scanning, detection range between 0.12 and 8 meters

Built-in Camera: 5 Megapixel resolution, 65-degree Field of View (FOV)

Maximum Payload Capacity: 5 Kg

Navigation Autonomy (full load): 150 minutes

Standby Autonomy: 250 minutes

Battery: 11.1 V, 6400 mAh capacity (the compartment allows charging spare batteries)

Wireless Connectivity: Dual-band Wi-Fi support (via external module/dedicated interface), Bluetooth

I/O Interfaces and Ports: 1x Gigabit Ethernet Port, 4x USB 3.0, 1x HDMI, 1x DisplayPort

Available Control Pins: Extended interface via Jetson Nano expansion pins

Supported Programming Media: Python, ROS1, C++, myBlockly, myStudio

Software Capabilities: 2D/3D SLAM mapping and navigation, AI-based object recognition (TensorRT), ROS simulation

New Design Elements (2023): LED indicator positioned at the rear for real-time status

Chassis Dimensions: 311.15 x 230 x 110 mm

Net Weight: 4.30 Kg (slightly higher due to the computing module and Jetson cooling system)

Frequently Asked Questions (FAQ)

How does the Jetson Nano version differ from the Raspberry Pi version?

The Jetson Nano version features a dedicated 128-core NVIDIA Maxwell GPU (472 GFLOPS), making it optimized for Edge AI, neural networks, and Computer Vision, whereas the Raspberry Pi version is tailored for standard SLAM navigation and general ROS programming.

What SDKs and development tools come pre-installed?

The platform comes configured with Linux (Ubuntu), NVIDIA JetPack SDK, ROS (Robot Operating System), Python, C++, and native support for OpenCV, PyTorch, and TensorFlow libraries.

Can 3D depth sensors be added to myAGV 2023 Jetson Nano?

Yes, the hardware architecture and onboard USB 3.0 ports allow direct plug-and-play integration of stereo 3D depth cameras such as Intel RealSense D435 or Orbbec Astra Pro 2.