ARNL, SONARNL and MOGS
From MobileRobots Research and Academic Customer Support
ARNL is a set of software packages built on top of ARIA for intelligent navigation and localization. "Localization" allows the program to keep track of where the robot is and "navigation" allows the robot to get to a given destination. The libraries run and coordinates these two tasks, with the localization task automatically correcting robot pose, and the navigation task driving the robot to a goal you specify either in your control program via the programming interface, or from a remote control client such as MobileEyes via the ArNetworking protocol.
The libraries provide a native C++ API, as well as Python and Java APIs through a wrapper interface layers. The packages include the shared libraries/DLLs, header files, API reference manuals, and example programs with source code.
Three seperate localization techniques are available, implemented in three separate libraries:
- Laser Localization -- ARNL -- uses a SICK laser to perform precise localization
- Sonar Localization -- SONARNL -- uses the built in sonar sensors for approximate localization
- GPS Localization -- MOGS -- uses a GPS unit to localize within a map
Laser and GPS localization are only available to customers who have purchased the laser mapping and navigation or outdoor navigation options. SONARNL sonar localization is available to all customers.
I addition to the localization libraries, the BaseArnl library contains the navigation component, base utilities used by the localization libraries, and ARIA and ArNetworking are used by these libraries as well (the BaseArnl installation package includes the ARIA and ArNetworking libraries required.)
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Important note for users upgrading from ARNL 1.5 and prior: to upgrade, you must first uninstall the currently installed ARNL or SONARNL, then install BaseArnl in addition to either ARNL or SONARNL. Also, guiServer has been renamed to arnlServer and guiServerSonar has been renamed to sonarnlServer.
Debian Linux 3.1 with GCC 3.4
Built for use with the MobileRobots-customized Debian 3 release with GCC 3.4:
Base ARNL Library 1.7.2 for Debian GNU/Linux 3.1 (sarge) and later
- Install with dpkg -i
ARNL Laser Localization Library 1.7.0 for Debian GNU/Linux 3.1 (sarge) and later
- Install with dpkg -i
SONARNL Sonar Localization Library 1.7.0 for Debian GNU/Linux 3.1 (sarge) and later
- Install with dpkg -i
MOGS GPS Localization Library 1.7.0 for Debian GNU/Linux 3.1 (sarge) and later
- Install with dpkg -i
Debian Linux 4.1 or later with GCC 4
Built for Debian 4.1 (etch) or later with GCC 4:
Base ARNL Library 1.7.2 for Debian GNU/Linux 4.0 (etch) and later with GCC 4.1
- Install with dpkg -i
ARNL Laser Localization Library 1.7.0 for Debian GNU/Linux 4.0 (etch) and later with GCC 4.1
- Install with dpkg -i
SONARNL Sonar Localization Library 1.7.0 for Debian GNU/Linux 4.0 (etch) and later with GCC 4.1
- Install with dpkg -i
MOGS GPS Localization Library 1.7.0 for Debian GNU/Linux 4.0 (etch) and later with GCC 4.1
- Install with dpkg -i
Windows
Base ARNL Library 1.7.2 for Windows
- Run installer program to install
ARNL Laser Localization Library 1.7.0 for Windows
- Run installer program to install
SONARNL Sonar Localization Library 1.7.0 for Windows
- Run installer program to install
MOGS GPS Localization Library 1.7.0 for Windows
- Run installer program to install
Generic Linux TAR Archive
Built for use with GCC 3.4:
Base ARNL Library 1.7.2 for other Linux systems (Generic compressed TAR archive) with GCC 3.4
- Unpack and follow installation instructions inside
ARNL Laser Localization Library 1.7.0 for other Linux systems (Generic compressed TAR archive) with GCC 3.4
- Unpack and follow installation instructions inside
SONARNL Sonar Localization Library 1.7.0 for other Linux systems (Generic compressed TAR archive) with GCC 3.4
- Unpack and follow installation instructions inside
MOGS GPS Localization Library 1.7.0 for other Linux systems (Generic compressed TAR archive) with GCC 3.4
- Unpack and follow installation instructions inside
Built for use with GCC 4.x:
Base ARNL Library 1.7.2 for other Linux systems (Generic compressed TAR archive) with GCC 4.1
- Unpack and follow installation instructions inside
ARNL Laser Localization Library 1.7.0 for other Linux systems (Generic compressed TAR archive) with GCC 4.1
- Unpack and follow installation instructions inside
SONARNL Sonar Localization Library 1.7.0 for other Linux systems (Generic compressed TAR archive) with GCC 4.1
- Unpack and follow installation instructions inside
MOGS GPS Localization Library 1.7.0 for other Linux systems (Generic compressed TAR archive) with GCC 4.1
- Unpack and follow installation instructions inside
RedHat Linux 7
ARNL Laser Localization Library 1.7.0-0 for RedHat Linux 7.1 (Legacy support)
- Install with rpm -i or rpm -U to upgrade
SONARNL Sonar Localization Library 1.7.0-0 for RedHat Linux 7.1 (Legacy support)
- Install with rpm -i or rpm -U to upgrade
MOGS GPS Localization Library 1.7.0-0 for RedHat Linux 7.1 (Legacy support)
- Install with rpm -i or rpm -U to upgrade
Note: to install BaseArnl 1.7.1 with ARNL, SONARNL or MOGS 1.7.0, you must use the --nodeps option
Documentation
Change History for ARNL libraries
Change History for ARIA 2.7.2
ARNL and SICK Laser User's Manual
Previous Versions
Note, before 1.7, only independent ARNL and SONARNL packages were released.
Recommended Additional Downloads
- Mapper3 or Mapper3Basic
- To work with ARNL you will also need to download the Mapper3 application so that you can make maps for ARNL to navigate and localize in. Mapper3 will take laser scan log files (.2d) (generated by arnlServer or sickLogger) and transform them into maps (.map files) for use with ARNL and then let you edit them, including placing goals and forbidden lines and moving the robots home position. Mapper3Basic can also be used to edit maps, but cannot process laser scans. It is, however, available to all customers.
- MobileEyes
- You will also want to download the MobileEyes application so that you can have a GUI to watch what the robot is doing. MobileEyes connects to servers run from an ARNL program across a network, letting you view the robot's movements and environment without slowing them down.
