<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>Call1 Monitoring Kanman</title>
    <link>http://www.echord.info/blogs/monitoring_kanman</link>
    <description>This feed has been created using ROME (Java syndication utilities</description>
    <item>
      <title>Public Summary Month 3/2012</title>
      <link>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-4-2012</link>
      <description>&lt;div class="entry"&gt;&#xD;
&lt;div class="tricia-richstring"&gt;&#xD;
&lt;p&gt;Within the last two months we have focused on integration and evaluation which took place at office and lab environments and at the SCHUNK production facilities. Within the onging integration we were able to fix many of the open technical issues. Besides the developed mobile manipulator itself the main results are:&lt;/p&gt;&#xD;
&lt;p&gt;&lt;strong&gt;&lt;br /&gt;&lt;/strong&gt;&lt;/p&gt;&#xD;
&lt;p&gt;&lt;strong&gt;Localization according the ambient magnetic field&lt;/strong&gt;&lt;/p&gt;&#xD;
&lt;p&gt;Overall, the localization results were satisfying, even though the recording of sensor data for larger environments still poses a difficulty. A global search for the best matching position of a sensor path history found the robots position with an accuracy of 10cm to 5cm in 8 to 9 out of 10 tests. The few failing tests can be attributed to particularly bad path movement data &amp;ndash; if the robot performs mostly on-the-spot rotations, the matching of the path data structure will fail, because there is no path to speak of. We can therefore conclude that magnetic localization will only provide good results if the robot has driven a suitable distance before evaluating the sensor readings.&lt;/p&gt;&#xD;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&#xD;
&lt;p&gt;&lt;strong&gt;Low cost box detection&lt;/strong&gt;&lt;/p&gt;&#xD;
&lt;p&gt;We have designed and realized special gripper fingers that are able to grasp standard crates while carrying 12 MAGMODULEs and a small camera, too. We are able to coarsely position the arm over the box. From there, the magnetic box detection has to take over. We found out that in case of an empty crate only disturbances of the earth's magnetic field the measurements reaches standard deviations of approximately one millimeter. This result is to be interpreted as very positive and a stable use under a real production surrounding seems to be possible. But, we also found out that metal plates act as a disturbance. The largest error of three millimeters were identified in those cases.&lt;/p&gt;&#xD;
&lt;p&gt;&lt;img src="http://www.echord.info/file/Attachments/Tmp/1tf5kpi9eq1hm/P2280045_small.jpg" alt="" /&gt;&lt;/p&gt;&#xD;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&#xD;
&lt;p&gt;In addition, we have presented the project results at 5th International Expert Days on Service Robotics and at the Innorobo 2012 in Lyon. The next events for demonstration and exploitation are Hannover Messe within the area of mobile robots and autonomous systems in April 2012 and the Automatica within the ECHORD booth in May 2012. With KANMAN we have applied for the German &amp;ldquo;Innovationspreis IT&amp;rdquo;, a yearly contest about the best new IT products. The contest is managed by the Initiative Mittelstand under the patronage of the Federal Commissioner of the German Federal Government Cornelia Rogall-Grothe and IBM Germany. Under in total 2,500 applications KANMAN was awarded under the TOP 20 in the section logistics.&lt;/p&gt;&#xD;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt="" width="297" height="297" /&gt;&lt;/p&gt;&#xD;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&#xD;
&lt;p&gt;Finally,... &lt;strong&gt;thanks to our experiment moderator Germano Veiga and the whole ECHORD-team for their support during our experiment!&lt;/strong&gt;&lt;/p&gt;&#xD;
&lt;/div&gt;&#xD;
&lt;/div&gt;</description>
      <category>mobile manipulators and cooperation</category>
      <category>public summary</category>
      <pubDate>Wed, 18 Apr 2012 20:30:14 GMT</pubDate>
      <guid>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-4-2012</guid>
      <dc:date>2012-04-18T20:30:14Z</dc:date>
    </item>
    <item>
      <title>Public Summary Month 1/2012</title>
      <link>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-1-2012</link>
      <description>&lt;div class="entry"&gt;&#xD;
&lt;div class="tricia-richstring"&gt;&#xD;
&lt;p&gt;Within December 2011 and January 2012 we have integrated the developed technologies to the mobile manipulator prototype and its evaluation. We have finished the hardware setup of the prototype, improved the magnetic sensor software and we have focused on the processing and evaluation of processing and evaluation of magnetic sensor data in respect of the localization of the mobile robot base. Initial measurements revealed a distribution of magnitudes that hardly changed, regardless of where the measurement took place. Test measurements in our lab environment have shown a reproducible magnetic footprint that looks promising in regards to localization. As the localization algorithm needs discrete data, we have written a conversion tool that takes raw magnetic sensor data and yields a grid map.&lt;/p&gt;&#xD;
&lt;p&gt;Furthermore, we have been adapting the robot arm to the new control hardware, but there are still communication issues to be solved within further integration meetings. We plan to do the final evaluation at the SCHUNK plant in March 2012.&lt;/p&gt;&#xD;
&lt;/div&gt;&#xD;
&lt;/div&gt;</description>
      <category>public summary</category>
      <pubDate>Thu, 09 Feb 2012 14:53:10 GMT</pubDate>
      <guid>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-1-2012</guid>
      <dc:date>2012-02-09T14:53:10Z</dc:date>
    </item>
    <item>
      <title>Public Summary Month 11/2011</title>
      <link>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-11-2011</link>
      <description>&lt;p&gt;For the magnetic localization of the mobile robot we have mainly finished the evaluation sensor array based on 30 MAGMODULES. Regarding the software implementation of the MAGMODUL for the magnetic localization we have created a tool to insert reference points to eliminate odometry errors. The maps are now odometry error free. The hardware set-up of the whole mobile manipulator is almost finished and integration meetings have taken place.&lt;br /&gt;&lt;br /&gt;The work performed for the magnetic tracking of boxes was described in the deliverable KANMAN.4 which is submitted in the meantime.&lt;/p&gt;</description>
      <category>public summary</category>
      <pubDate>Fri, 23 Dec 2011 21:45:11 GMT</pubDate>
      <guid>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-11-2011</guid>
      <dc:date>2011-12-23T21:45:11Z</dc:date>
    </item>
    <item>
      <title>Public Summary Month 09/2011</title>
      <link>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-09-2011</link>
      <description>&lt;div class="entry"&gt;&#xD;
&lt;div class="tricia-richstring"&gt;&#xD;
&lt;p&gt;We have been continuing the work in this task "Safe manipulation in industrial environments" and tested mechanical hazards of the robot arm and prepared the evaluation of bumpers and tactile sensors. The final hardware build up of the MAGMODUL for the ambient magnetic field measurement is finished. Regarding the software implementation of the MAGMODUL we have implemented a driver for magnetic field sensors that automatically corrects/normalizes measurements and outputs them as vectors. Furthermore, we have implemented a mapping module that takes these vectors as input and combines them with the robot's odometry/position. With the MAGMODUL measuring units it is also possible to realize a precise positioning. For two-dimensional precision positioning it is necessary to build also a two-dimensional array of MAGMODUL measuring units. A holder which fixes the modules on the KANMAN robotic platform is under construction.&lt;/p&gt;&#xD;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&#xD;
&lt;p&gt;For the set-up of the mobile manipulator we have evaluated the battery system, finalized the design of the robot base including drive system, battery storage, and two laser scanners, developed and integrated a novel unit for the control of low level robot functionalities and improved the usability of the robot platform with a special focus on installation and transportation.&lt;/p&gt;&#xD;
&lt;/div&gt;&#xD;
&lt;/div&gt;</description>
      <category>public summary</category>
      <pubDate>Thu, 06 Oct 2011 10:37:17 GMT</pubDate>
      <guid>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-09-2011</guid>
      <dc:date>2011-10-06T10:37:17Z</dc:date>
    </item>
    <item>
      <title>Public Summary Month 7/2011</title>
      <link>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-7-2011</link>
      <description>&lt;p&gt;In the last two months we have been continuing our work on the tasks save manipulation in industrial environments, magnetic localization of mobile manipulators &amp;amp; tracking of boxes and integration and adaptation of the mobile platform. We have submitted the deliverable KANMAN.3 in which we have described the progress towards a safe manipulation of modular kinematics in a collaborative way without traditional safety devices. We have implemented a bumper to eliminate sharp edges. We realized a safe robot arm concerning stop 0 using components according to performance level d. We were able to finish the development of the MAGMODULS which we use to measure the ambient magnetic field.The development and the composition of the module is described in the deliverable KANMAN.2. With a 3D Helmholtz coil we have measured the slope of the AMR sensor elements and their alignment. The maximum error was 1,34 %. This deviation are passable compared with the linearity error of the AMR sensor elements. With one calibration the system has the possibility to switch to different gains. This situation allows to switch active if the ambient magnetic filed changes on different basements. The next step is the evaluation of the sensor array on the SCITOS G5 mobile base to prove their applicability to support the localization. Furthermore, we have been continuing the assembling of the KANMAN mobile base and mechanically integrated the arm structure. The development of the main control unit of the mobile base is almost finished and we except to have a driveable mobile manipulator by end of September.&lt;/p&gt;</description>
      <category>public summary</category>
      <pubDate>Mon, 01 Aug 2011 12:53:19 GMT</pubDate>
      <guid>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-7-2011</guid>
      <dc:date>2011-08-01T12:53:19Z</dc:date>
    </item>
    <item>
      <title>Public Summary Month 5/2011</title>
      <link>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-5-2011</link>
      <description>&lt;p&gt;Within the last two months we have been continued the work on the tasks safe manipulation in industrial environments, magnetic localization of mobile manipulators &amp;amp; tracking of boxes and integration and adaptation of the mobile platform.&lt;br /&gt;&lt;br /&gt;The basis for preparing a safety concept for KANMAN&amp;rsquo;s manipulator are ISO EN 10218-1:2006 for the robot itself and ISO EN 13849 for the robot&amp;rsquo;s control. The standards are harmonized with the Machinery Directive. The current concept developed, pursues the use of a safety controller by Schmersal ELAN to securely monitor robot. The safety controller supervises the communication (CAN Bus) between robot control and robot, additionally the encoder signals will need to be monitored separately. In case of a failure either of the robot or the robot control, the safety controller is able to put the system into a safe state (stop category 0 or 1), according to ISO 13850 and IEC 60204. The integration of the safety controller will allow a safely supervised position, a safely reduced speed, work area monitoring, emergency stop and operational stop (stop category 2). &lt;br /&gt;&lt;br /&gt;According to the magnetic localization first tests with the linear array of 9 sensor modules with 3 AMR sensors per module shows a deficient sensor characteristic. To improve the performance of the Sensor modules we built up a calibration and measuring place to measure noise, linearity, angularity and the slope of the sensor signals. The whole prototype (magnetic localization electronics for navigation) according to deliverable D KANMAN.2 is almost finished. &lt;br /&gt;&lt;br /&gt;Finally, we have designed the mechanical bodywork for the first KANMAN prototype consisting of three metal plates. It includes a lithium polymer battery, necessary electronic components, an industrial PC, fixings for the the robot arm, the display and two boxes, and two drive units with motors, gears, couplings, and wheels. It was partly set up.&lt;/p&gt;</description>
      <category>public summary</category>
      <pubDate>Tue, 31 May 2011 14:25:35 GMT</pubDate>
      <guid>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-5-2011</guid>
      <dc:date>2011-05-31T14:25:35Z</dc:date>
    </item>
    <item>
      <title>Public Summary Month 3/2011</title>
      <link>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-3-2011</link>
      <description>&lt;p&gt;We have performed various test measurements at several places to investigate the existent magnetisable parts the in the floor. We have extended the SCITOS' control software in a way that the current magnetic data and their history can be pictured. To increase the resolution we have developed and realized a measuring hardware based on three AMR sensors capable of being integrated in a bus and connected to a master module. A new prototype was finished and successfully integrated in a SCITOS mobile robot platform.&lt;/p&gt;&#xD;
&lt;p&gt;Dissemination activities:&lt;/p&gt;&#xD;
&lt;ul&gt;&#xD;
&lt;li&gt;4th International Expert Days Service Robotics at SCHUNK facilities in Germany on Feb, 23rd/24th 2011: Presentation of the demonstrator and a magnetic ruler&lt;/li&gt;&#xD;
&lt;li&gt;11th Symposium Magnetoresistive Sensors and Magnetic Systems in Wetzlar/Germany: Talk "Magnetic Field Sensing for Fast Motion Tracking and Robotic Navigation with Ambient Magnetic Fields"&lt;/li&gt;&#xD;
&lt;/ul&gt;&#xD;
&lt;p&gt;&lt;img src="http://www.echord.info/file/Attachments/blogs/monitoring_kanman/public-summary-month-3-2011/KANMAN_ExpertDays.jpg" alt="" /&gt;&lt;/p&gt;&#xD;
&lt;p&gt;&lt;img class="invalidLink" src="http://www.echord.info/file/Attachments/Tmp/gz7qa0d80s2p/KANMAN_ExpertDays.jpg" alt="" /&gt;&lt;/p&gt;&#xD;
&lt;p&gt;KANMAN at the 4th International ExpertDays Service Robotics&lt;/p&gt;&#xD;
&lt;p&gt;&amp;nbsp;$[media()$&amp;nbsp;&lt;a href="http://www.echord.info/file/Attachments/blogs/monitoring_kanman/public-summary-month-3-2011/METRALABS_KANMAN_SchunkExpertDays.wmv"&gt;/file/Attachments/blogs/monitoring_kanman/public-summary-month-3-2011/METRALABS_KANMAN_SchunkExpertDays.wmv&lt;/a&gt; $media]$&lt;/p&gt;</description>
      <category>public summary</category>
      <pubDate>Fri, 01 Apr 2011 15:11:20 GMT</pubDate>
      <guid>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-3-2011</guid>
      <dc:date>2011-04-01T15:11:20Z</dc:date>
    </item>
    <item>
      <title>Public Summary Month 1/2011</title>
      <link>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-1-2011</link>
      <description>&lt;p&gt;The KANMAN experiment develops an application where a mobile manipulator will support a Kanban production process by taking care of the flow of materials. In the first four months we discussed our approach with production experts and defined and prioritised three use cases.&lt;/p&gt;&#xD;
&lt;p&gt;Furthermore, we have realized the set-up of a mobile platform and have successfully integrated the magnetic sensor prototypes in a mobile robot platform. The following figure shows example data sets recorded during the movement of a robot platform in an example industrial environment for way of about 10 m. The figures show a magnetic map based on the average magnetic field (green = 0, red = positive, blue = negative). The comparison between the way out (left) and way back (right) underlines the good reproducibility. We are currentling working on the integration of these sensor information in the localisation map of the robot.&lt;/p&gt;&#xD;
&lt;p&gt;&lt;img src="http://www.echord.info/file/Attachments/blogs/monitoring_kanman/echord-report-month-1-2011/magnet.png" alt="" /&gt;&lt;/p&gt;&#xD;
&lt;p&gt;&lt;img class="invalidLink" src="http://www.echord.info/file/Attachments/Tmp/eg791p4c6i7s/magnet.png" alt="" /&gt;&lt;/p&gt;&#xD;
&lt;p&gt;&lt;img src="file:///C:/Users/andreas/AppData/Local/Temp/moz-screenshot.png" alt="" /&gt;&lt;/p&gt;</description>
      <category>public summary</category>
      <pubDate>Mon, 31 Jan 2011 22:01:31 GMT</pubDate>
      <guid>http://www.echord.info/blogs/monitoring_kanman/public-summary-month-1-2011</guid>
      <dc:date>2011-01-31T22:01:31Z</dc:date>
    </item>
  </channel>
</rss>

