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ros-planning/navigationArchived

0
View on GitHub↗
2,648 stars·1,831 forks·C++·22 views

Navigation

This project is a framework for autonomous mobile robot navigation within the Robot Operating System ecosystem. It provides a suite of tools for calculating safe trajectories and movement commands, enabling mobile bases to reach specific destinations while avoiding obstacles in dynamic environments.

The system utilizes a hierarchical planning approach that separates long-range path generation from short-range reactive obstacle avoidance. It maintains spatial awareness through a centralized coordinate tracking system and a grid-based representation that stores obstacle information and proximity costs. A plugin-based architecture allows for the integration of custom path planners and recovery behaviors, while a message-passing interface decouples sensor processing from control logic.

The framework supports comprehensive robot operations, including sensor data integration from cameras, lidars, and encoders, as well as simultaneous localization and mapping. It continuously translates high-level navigation goals into low-level linear and angular velocity commands to drive robot hardware.

Features

  • Robotics Software Stacks - Provides a comprehensive framework for autonomous mobile robot path planning, obstacle avoidance, and localization within the ROS ecosystem.
  • Robotic Hierarchical Planners - Implements a two-tier hierarchical planning system that separates long-range path generation from short-range reactive obstacle avoidance.
  • Autonomous Robot Navigation - Calculates safe movement speeds and guides mobile bases toward destinations while avoiding obstacles.
  • Velocity Command Generation - Translates high-level navigation goals into low-level linear and angular velocity commands for robot hardware.
  • Simultaneous Localization and Mapping - Determines robot position while simultaneously building maps of the environment using sensor data.
  • Mobile Base Controllers - Translates high-level navigation goals into low-level velocity commands to drive robot wheels or tracks.
  • Robotic Path Planners - Provides algorithms for calculating safe trajectories and movement commands for mobile bases.
  • Sensor Processing - Integrates inputs from cameras, lidars, and encoders to perceive the environment and identify hazards.
  • Grid-Based Costmaps - Provides grid-based spatial representations to store obstacle information and proximity costs for safe navigation corridor evaluation.
  • Coordinate Frame Transformations - Maintains a centralized transform tree to track spatial relationships between robot sensors and the world frame.
  • Inter-Process Communication - Uses a message-passing interface to decouple sensor processing from high-level path planning and control logic.
  • Plugin-Based Architectures - Employs a plugin-based architecture to allow swapping path planners and recovery behaviors without modifying the core control loop.

Star history

Star history chart for ros-planning/navigationStar history chart for ros-planning/navigation

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Navigation

Similar open-source projects, ranked by how many features they share with Navigation.
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  • ros-navigation/navigation2ros-navigation avatar

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See all 30 alternatives to Navigation→

Frequently asked questions

What does ros-planning/navigation do?

This project is a framework for autonomous mobile robot navigation within the Robot Operating System ecosystem. It provides a suite of tools for calculating safe trajectories and movement commands, enabling mobile bases to reach specific destinations while avoiding obstacles in dynamic environments.

What are the main features of ros-planning/navigation?

The main features of ros-planning/navigation are: Robotics Software Stacks, Robotic Hierarchical Planners, Autonomous Robot Navigation, Velocity Command Generation, Simultaneous Localization and Mapping, Mobile Base Controllers, Robotic Path Planners, Sensor Processing.

What are some open-source alternatives to ros-planning/navigation?

Open-source alternatives to ros-planning/navigation include: ros-planning/navigation2 — Navigation2 is a navigation stack for ROS 2 designed for autonomous robot navigation. It provides a framework for… ros-navigation/navigation2 — Navigation2 is a ROS 2 navigation framework for autonomous mobile robots. It provides the core identity of a path… ai-winter/ros_motion_planning — This project is a comprehensive library and framework for autonomous mobile robot navigation, providing a suite of… inavflight/inav — iNAV is flight control firmware designed to manage the stability, movement, and flight dynamics of multirotors,… spyder-ide/spyder — Spyder is a scientific integrated development environment designed for scientific computing and interactive Python… vendicated/vencord — Vencord is a modification framework designed for the desktop and web versions of Discord. It functions as a…

Curated searches featuring Navigation

Hand-picked collections where Navigation appears.
  • robotics development framework / ROS ecosystem tool
  • Hybrid motion planning