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       <dc:date>2026-04-05T01:39:33+00:00</dc:date>
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        <dc:date>2017-06-29T08:57:54+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>cram</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/cram?rev=1498726674&amp;do=diff</link>
        <description>CRAM

The CRAM system consists of an extensive reasoning system and modules for interfacing the ROS system and the PR2 robot. Physics based simulation capabilities enable for foresight into the possible effects of actions. A plan execution layer allows for the execution of rather unspecific robot plans that are filled with information on the fly as necessary. The continuous work on the system is reflected in</description>
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        <dc:date>2016-05-19T09:19:32+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>datalogger</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/datalogger?rev=1463649572&amp;do=diff</link>
        <description>Data logging with mongodb

There is a tool for loggin data into mongodb for later processing. The data is fetched from selected topics or all topics when running a ROS process. The logging tool is from the package mongodb_log.

Installing the logger</description>
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        <dc:date>2021-06-03T12:17:12+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>k4r</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/k4r?rev=1622722632&amp;do=diff</link>
        <description>Knowledge4Retail

Organizational

	*  The organizational internal K4R-Trello board can be found at: &lt;https://trello.com/b/dqq74dHt/k4r&gt; . It contains all main upcoming meetings, tasks etc.
		*  K4R-Trello board with focus on ERP task: &lt;https://trello.com/b/h5uWvlSz/k4r-erp-tasks&gt;
		*  K4R-Trello board with focus on Pilot Application 1 tasks:</description>
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        <dc:date>2016-05-19T09:19:32+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>knowrob</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/knowrob?rev=1463649572&amp;do=diff</link>
        <description>KnowRob

KnowRob is a knowledge processing system that combines knowledge representation and reasoning methods with techniques for acquiring knowledge and for grounding the knowledge in a physical system and can serve as a common semantic framework for integrating information from different sources. KnowRob combines static encyclopedic knowledge, common-sense knowledge, task descriptions, environment models, object information and information about observed actions that has been acquired from va…</description>
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        <dc:date>2018-06-08T11:51:37+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>openease_robot_interface_gsoc</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/openease_robot_interface_gsoc?rev=1528458697&amp;do=diff</link>
        <description>Logging using predicates that are in knowrob_cram/knowrob_cram.pl

It is suggested before starting that take a look at predicates in knowrob_cram.pl. If you have questions regarding the usage of predicates, contact me (asil@cs.uni-bremen.de)

JSONProlog based solution (without openEASE in the loop)</description>
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        <dc:date>2017-06-29T08:38:06+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>openease</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/openease?rev=1498725486&amp;do=diff</link>
        <description>*  Setting up local JSON Prolog for Docker openEASE</description>
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        <dc:date>2017-07-10T10:18:10+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>sherpa</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/sherpa?rev=1499681890&amp;do=diff</link>
        <description>Windows PC:

Starting Unreal

	*  Start unreal project sherpa - Unreal version 4.13 - filename `Sherpa.uproject`
	*  Make sure the map LandscapeMap_Robots is loaded (usually set as default map)
	*  Add the ROS IP to the ros manager:
		*  World Outliner</description>
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        <dc:date>2024-08-20T11:39:33+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>tortugabot_ros1_noetic</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/tortugabot_ros1_noetic?rev=1724153973&amp;do=diff</link>
        <description>TortugaBot ROS 1 Noetic on Ubuntu 20.04

This page has been moved from TortugaBot in Dec 22.

For ROS 2, go to the ROS2 Jazzy on Ubuntu 24.04 Install.

Those little robots look like a hamburger, or an autonomous vacuum cleaner. It drives on four wheels, of which the left and right are motorized and controlled via RoboClaw, and it&#039;s using a Hukuyo LIDAR for orientation.</description>
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        <dc:date>2025-12-02T13:51:59+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>tortugabot_ros2</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/tortugabot_ros2?rev=1764683519&amp;do=diff</link>
        <description>Tortugabot ROS 2 Jazzy on Ubuntu 24.04

For the Ubuntu 20.04 ROS 1 install, go to the ROS1 Noetic setup.

For the hardware status of the Turtles go here.

Install Ubuntu 24.04 on ThinkPad e485 AMD Ryzen 5

	*  Get Ubuntu 24.04 Desktop
	*  Prepare a bootable pen drive
	*  Hit F12 on boot to reach the drive selection</description>
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        <dc:date>2024-08-20T11:33:59+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>tortugabot</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/tortugabot?rev=1724153639&amp;do=diff</link>
        <description>TortugaBot

The latest setup guide (Dec 2022) was moved to the ROS1 Noetic guide.

The TortugaBot is a little robot which has an ASUS Xtion Pro Live as sensor. It is mainly build from acrylc glass and Aluminium bars. To move he is using two  EMG30 or EMG49 motors which get their power from a 11.1V 2500mAh Li-Po battery. He gets controlled by a Laptop which has to be put in the LispBot.</description>
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        <dc:date>2016-05-19T09:19:32+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>uima</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/uima?rev=1463649572&amp;do=diff</link>
        <description>UIMA / RoboSherlock

Setup and Configuration

	*  Download and Installation of UIMA using ROS Groovy
	*  Download and Installation of RoboSherlock using ROS Hydro or Indigo
	*  Running Robohow Demo
	*  Set up the webpage</description>
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        <dc:date>2022-10-17T14:58:29+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>unreal</title>
        <link>https://www.ai.uni-bremen.de/wiki/software/unreal?rev=1666018709&amp;do=diff</link>
        <description>Requirements

	*  vulkan (since Unreal Engine 4.25)

Installation

Vulkan

&lt;https://linuxconfig.org/install-and-test-vulkan-on-linux/&gt;

AMD

	*  sudo add-apt-repository ppa:oibaf/graphics-drivers 
	*  sudo apt update 
	*  sudo apt upgrade
	*  apt install libvulkan1 mesa-vulkan-drivers vulkan-utils

NVIDIA

	*</description>
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