Skip to:

  • Skip to content
  • Skip to navigation
  • Home
  • About CAVS
    • Overview for About CAVS
    • Careers
    • Contact Us
  • Success Stories
    • Overview for Success Stories
    • Halo Project
    • EcoCAR
    • Corvette Cradle
    • NASA Missions
    • Car of the Future
    • SWAT Robotics
  • Current Research
    • Overview for Current Research
    • Autonomous Vehicles
    • Cybersecurity
    • Steel
    • Additive Manufacturing
    • Computational Fluid
      Dynamics
    • Virtual and Augmented
      Reality
    • Athlete Engineering
    • Computational Engineering Mechanics
  • Capabilities
    • Overview for Capabilities
    • HPC for Modeling and Simulation
    • Materials Experimentation
    • Materials Modeling
    • Integrated Computational Materials Engineering
    • Human Performance
    • Vehicle and Systems
      Engineering
    • Experimental Vehicles
    • Software and Codes
    • MAVS Software
    • SimSys Software
    • Proving Ground
    • Bio-Inspired Design
  • People
  • MSCFC
  • Resources
    • Overview for Resources
    • News & Events
    • Publications
    • Annual Reports
    • COVID-19 Resources
    • Autonomy Resources
    • Autonomous Vehicle Data Set
    • MAVS
    • NATURE Stack
  • myState
  • Search
Mississippi State University CAVS | Home
  • Find CAVS on Facebook
  • Find CAVS on LinkedIn
  • Find CAVS on Twitter
  • Find CAVS on YouTube
  • Home
  • About CAVS
    • Careers
    • Contact Us
  • Success Stories
    • Halo Project
    • EcoCAR
    • Corvette Cradle
    • NASA Missions
    • Car of the Future
    • SWAT Robotics
  • Current Research
    • Autonomous Vehicles
    • Cybersecurity
    • Steel
    • Additive Manufacturing
    • Computational Fluid
      Dynamics
    • Virtual and Augmented
      Reality
    • Athlete Engineering
    • Computational Engineering Mechanics
  • Capabilities
    • HPC for Modeling and Simulation
    • Materials Experimentation
    • Materials Modeling
    • Integrated Computational Materials Engineering
    • Human Performance
    • Vehicle and Systems
      Engineering
    • Experimental Vehicles
    • Software and Codes
    • MAVS Software
    • SimSys Software
    • Proving Ground
    • Bio-Inspired Design
  • People
  • MSCFC
  • Resources
    • News & Events
    • Publications
    • Annual Reports
    • COVID-19 Resources
    • Autonomy Resources
    • Autonomous Vehicle Data Set
    • MAVS
    • NATURE Stack

CAVS / Capabilities / Software and Codes / NATURE Stack

× Enlarged Image

NATURE Stack

The NATURE (Navigating All Terrains Using Robotic Exploration) stack is a free and open-source autonomy stack for off-road navigation by wheeled vehicles. The NATURE stack features modules for path planning, vehicle control, and perception. Written in ROS, it can be used on real vehicles or coupled to a simulator like the MAVS.

Available on Github

Documentation

Nature Operation Diagram

Why NATURE?

Autonomous navigation in off-road environments breaks many of the assumptions built into other autonomy algorithms. Without road networks, engineer slopes, and vegetation-free path options, the problem of off-road navigations is more complex and open-ended than on-road autonomy.

The NATURE stack provides a starting point for researchers interested in studying off-road autonomy by providing a full suite of algorithms (global and local planning, vehicle control, and perception) designed for off-road navigation.

NATURE is being used by researchers at the US Army Engineer Research and Development Center to support the development of advanced simulation tools, and provided the foundation for the stack used by the NATO AVT-341 working group on “Mobility Assessment Methods and Tools for Autonomous Military Ground Systems”. The NATURE stack supports a variety of ongoing research into off-road autonomy at MSU-CAVS.

  • Find CAVS on Facebook
  • Find CAVS on LinkedIn
  • Find CAVS on Twitter
  • Find CAVS on YouTube
Mississippi State University logo
Center for Advanced Vehicular Systems
200 Research Blvd.
Starkville, MS 39759
P: (662) 325-5431
  • CAVS Careers
  • HPC2
  • Intranet
  • CAVS-E
  • ISER
  • I2AT
  • AEI
  • Contact Us
  • Directory
Bagley College of Engineering

Technical problems, contact the Webmaster - Last modified: 10/19/2022
This website is hosted by the High Performance Computing Collaboratory