The Experimental Robotics Framework offers a platform for creating and executing algorithms that prioritize mobile robot's perception of its surroundings.
The Experimental Robotics Framework is a software tool designed to help mobile robots perceive their surroundings and complete tasks efficiently. It uses advanced algorithms to achieve this goal.
Installing ERF is easy, and there are two ways to do it. The first option is to compile the sources, while the second involves installing the precompiled source in the RPM format.
To install ERF through the sources, you need to type in the command: "tar -xjf erf...tar.bz2; cd erf...; ./configure && make". Then, enter the following commands: "su" and "make install".
If you prefer to install ERF through RPM, use the command "rpm -ivh --nodeps erf...rpm". For Mandriva Linux or other RPM-based Linux distributions, use "urpmi erf...rpm". Visit RPM for more information on RPMs.
In case there are any issues or problems with the installation, please report them to the miarn mailing list or chat with the developer.
ERF has certain requirements to function properly. These include FLTK version 2, the latest snapshot, GLEW latest, BOOST, tinyxml from the miarn site, and Opencv version 1.0.
The latest release of ERF sees the addition of new components and various bug fixes. Overall, this software is a great tool for mobile robotics researchers or enthusiasts looking to improve the perception and navigation capabilities of their robots.
Installing ERF is easy, and there are two ways to do it. The first option is to compile the sources, while the second involves installing the precompiled source in the RPM format.
To install ERF through the sources, you need to type in the command: "tar -xjf erf...tar.bz2; cd erf...; ./configure && make". Then, enter the following commands: "su" and "make install".
If you prefer to install ERF through RPM, use the command "rpm -ivh --nodeps erf...rpm". For Mandriva Linux or other RPM-based Linux distributions, use "urpmi erf...rpm". Visit RPM for more information on RPMs.
In case there are any issues or problems with the installation, please report them to the miarn mailing list or chat with the developer.
ERF has certain requirements to function properly. These include FLTK version 2, the latest snapshot, GLEW latest, BOOST, tinyxml from the miarn site, and Opencv version 1.0.
The latest release of ERF sees the addition of new components and various bug fixes. Overall, this software is a great tool for mobile robotics researchers or enthusiasts looking to improve the perception and navigation capabilities of their robots.
What's New
Version 0.6.0: N/A