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serdarselimys/hexadogzbd-pybulletdemo

Analysis updated 2026-05-18

1PythonAudience · developerComplexity · 3/5LicenseSetup · moderate

TLDR

A PyBullet physics simulation of a six legged walking robot, controllable with a joystick or keyboard.

Mindmap

mindmap
  root((HexaDog ZBD))
    What it does
      Simulates hexapod robot
      Tripod gait walking
      Joystick or keyboard control
    Tech stack
      PyBullet
      Python
      Pandas
      Pygame
    Use cases
      Robotics gait research
      Inverse kinematics study
      Controller-driven simulation
    Audience
      Robotics developers
      Simulation hobbyists
    Setup
      Install Python 3.9 to 3.11
      Create virtual environment
      Install pybullet requirements

Code map

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What do people build with it?

USE CASE 1

Simulate and control a six legged walking robot in a physics engine using a joystick or keyboard.

USE CASE 2

Study how inverse kinematics and gait blending work for a hexapod robot leg.

USE CASE 3

Experiment with tripod gait parameters like frequency and step amplitude via a CSV lookup table.

USE CASE 4

Use the URDF robot model as a base for further hexapod robotics simulation projects.

What is it built with?

PythonPyBulletNumPyPandasPygame

How does it compare?

serdarselimys/hexadogzbd-pybulletdemo0xustaz/streamgatea-bissell/unleash-lite
Stars111
LanguagePythonPythonPython
Setup difficultymoderatehardhard
Complexity3/54/54/5
Audiencedeveloperdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires Python 3.9-3.11 for reliable PyBullet installation, a joystick is optional, keyboard fallback is built in.

You can remix and build on this for non-commercial purposes with credit, but you cannot use it commercially.

In plain English

This project is a computer simulation of a six legged walking robot called HexaDog ZBD. It runs inside PyBullet, a physics simulator, and lets someone drive the virtual robot around using either an Xbox style joystick or a keyboard, watching all six legs move with a realistic tripod walking pattern in a 3D window. Underneath, each leg's position is worked out using inverse kinematics, meaning the code figures out the right joint angles needed to place each foot where it should go. Walking speed and step size come from a lookup table stored in a CSV file, and the simulation smoothly blends between different movement styles, such as walking straight, sideways, diagonally, or spinning in place, depending on which direction the stick is pushed. A right or left trigger on the controller raises or lowers the robot's body height. The console also prints the walking speed and step frequency once per gait cycle so someone can see how fast the robot is moving. To run it, someone needs Python between versions 3.9 and 3.11, since PyBullet installs most reliably in that range. After cloning the repository, the README walks through creating an isolated Python virtual environment, installing dependencies like PyBullet, pandas, numpy, and pygame, and then running the main simulation script from the project's root folder. A troubleshooting section covers common problems, like the robot's 3D meshes failing to load, a joystick not being detected, or the robot twitching if the gait CSV file has missing values. The project is licensed under Creative Commons Attribution-NonCommercial 4.0, meaning anyone can remix or build on the design for non-commercial purposes as long as they give credit, but commercial use of any kind is not allowed.

Copy-paste prompts

Prompt 1
Walk me through setting up a Python virtual environment and installing PyBullet for this hexapod simulation.
Prompt 2
Explain how the tripod gait and inverse kinematics work in HexaDog_ZBD_Pybullet.py.
Prompt 3
Help me troubleshoot why the robot's meshes aren't showing up in the PyBullet window.
Prompt 4
How do I map keyboard controls instead of a joystick to control the robot's walking direction?
Prompt 5
Explain how gait_params.csv changes the robot's walking speed and direction blending.

Frequently asked questions

What is hexadogzbd-pybulletdemo?

A PyBullet physics simulation of a six legged walking robot, controllable with a joystick or keyboard.

What language is hexadogzbd-pybulletdemo written in?

Mainly Python. The stack also includes Python, PyBullet, NumPy.

What license does hexadogzbd-pybulletdemo use?

You can remix and build on this for non-commercial purposes with credit, but you cannot use it commercially.

How hard is hexadogzbd-pybulletdemo to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is hexadogzbd-pybulletdemo for?

Mainly developer.

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