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HexaWander ROS Open Source Robot

HexaWander ROS Open Source Robot

  • Robot operating system (ROS) is open source and has a sound ecosystem and user base.

  • Self-balancing with built-in IMU.

  • Using a mainstream robot vision framework meets the requirements of most vision-related AI projects.

  • Built-in mapping and navigation packages, enable autonomous obstacle avoidance.
$1,099.00
$1,199
$1,199 - $1,199
$1,199
$1,099.00 - $1,099.00
$1,099.00
Save 8% Save 8%
Shipping & Return

5-10 business days. (Note: The delivery time of pre-sale products is subject to the arrival time.)

Orbbec only accepts return requests due to quality issues.

Applications

Robot Developer
Developers can use HexaWander as an ideal test bed to evaluate the performance of new sensors, actuators and other robotic components to validate and optimize their innovative technologies.
Robot Competition
Hexapod robots shine in various competitions, whether it's the graceful dance steps in performance events, the agile response in search and rescue missions, the precise navigation in path planning, or the intelligent recognition in environmental perception, they all require demonstrating exceptional autonomy and flexibility.
Robot Education
In an academic setting, HexaWander can serve as educational tools to help students comprehend the complexity of robotic systems, including hardware operation and software programming.
Mapping and Navigation
Supports Hector's mapping algorithm, path planning, fixed-point, and multi-point navigation.
Face Identification
Use the CascadeClassifier to quickly identify faces that appear in the field of view.
Gesture Recognition
With OpenCV, the HexaWander can respond to gesture instructions in real time.
KCF Algorithm
Kernel Correlation Filter -- a widely adopted target tracking algorithm.
Color Recognition
Support multiple color recognition, and the HexaWander head can track the corresponding color objects in real time.
Bionic Gait
Adapting to a variety of complex road surfaces, it achieves all-terrain walking.
Depth Camera
Get the camera's Point Cloud, Depth Map, IR & RGB data through the corresponding API.

Specifications

HexaWander ROS Dimensions
DaBai Depth Camera Dimensions
LiDAR Dimensions
Product Parameter

  • Product Name

  • HexaWander ROS Open Source Robot

  • Dimensions (W × H × D)

  • 482mm x 503mm x 199mm

  • Weight

  • ≈3000g

  • Mainboard

  • Jetson Nano B01

  • RAM

  • 4GB

  • System

  • Ubuntu 18.04

  • Camera

  • ORBBEC - DaBai

  • Battery Specification

  • 3000mAh 10.8V

  • Communication Mode

  • USB/WiFi/Ethernet

  • Control Mode

  • Wireless Controller / PC

  • Programming Tool

  • Python/C/C++

  • Charging Time

  • 2~3 Hours

Video

Development Documentation

Abundant Secondary Development Data
All open-source code for the HexaWander robot is provided, including body movement, gait planning, mapping, navigation, machine vision, etc., and a secondary development manual tutorial is provided.
Course Schedule

  • 1. Basic Courses

    • Product Parameter Description

    • Wireless Joystick Control

    • Use of Servo Calibration Software

    • Charge

  • 2. Advanced Courses

    • Basic ROS Service

      AR Tag Recognition

    • Remote Login

      Edge Detection

    • IMU Self-Balancing

      Face Recognition

    • LiDAR Mapping

      Somatosensory Control

    • LiDAR Navigation

      Radar Tracking

    • Visual Mapping

      Group Control Formation

    • Visual Navigation

      QR Code Recognition

    • KCF Target Tracking

      Color Recognition

  • 3. Getting Started with Secondary Development

    • Hardware Preparation

    • Software Preparation

    • Remote Login

    • File Directory Introduction

    • Run the Modified Code

  • 4. Principle and Architecture of ROS Hexapod Robot

    • System Structure

    • Communication Protocol

  • 5. Frequently Asked Questions and Answers

  • 6. Contact Us

Shipping List

HexaWander Robot、Gamepad、Charger、Packaging Box

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