This netwerk is also available in Matlab (as add-on). Should be nice to combine the AutoMoDe code with CoSpace (collecting victims). Would be interesting to see if LayoutNet reconstruction would also work in the RoboCup Rescue Simulation.Found the program sweep_visualizer in /opt/Sweep Visualizer BETA.There is also a sweep-sdk page (updated a few month ago). The software for the Arduino is still exist on github. Checked my mail of June 2017, but that link redirects to the Scance download page. Couldn't found the download at nb-ros.According to my budget, I bought the full DIY Kit (3DS-KIT) in 2017 (payment on May 18).Yet, the download itself seems to be gone. The Scanse download instructions are still there, although for Ubuntu 14.04.I connected the Sweep v1.0 to my nb-ros laptop on June 19, 2017.Didn't find the information on Scanse.io about the DIY Kit, only the theory behind it, but still found the documentation at hackster.io. Looking for the contents of the Sweep 3D scanner DIY Kit.The article of Wolfram Burgard on an analytical Lidar Sensor Model could be of relevance for Paul Lagerweij's project (creating a 3D laser scanner in Gazebo).Could be a potential platform for the Coach league. The Explore level is an Android or Apple app, the Build level is based on JavaScript and a Visual Studio extension. The new Misty II is a educational platform based on behaviors, which has as API three levels to interact with the robot.Couldn't test, because the 3D-Sweep isn't fully assembled. Started the SweepVisualizer from Ubuntu search, as instructed. Installed v15 of the sweep-visualizer from amazonaws on my nb-dual.The Rescue Robot of the MARS Lab seems a nice standard platform for rescue.Still available as current Gazebo plugin.There is also an example of an uniform noise model:. There is a world to test the custum noise plugin.With 'custom' the noise is defined by a SetCustomNoiseCallback function. Noise can be set to 'none', 'gaussian' or 'custom'. The noise model is loaded in, which loads a NoiseFactory::NewNoiseModel.Looked at the Gazebo sensor noise tutorial.That means that there are three UDK version left on nb-udk, one for each year (2012, 2013, 2014). That is a big directory (4.47 Gb) which should give me some space. On JI was positive about UDK-2013-02, so I moved UDK-2013-03. UDK-2012-07 was quite small (although although on 8 November, 2012 I said it worked. To save some space at nb-udk, I moved two UDK version to my dual-USB.Step 3: Avoid obstacles robot with Python.Step 1: Download ePuck2 world with balls from Josie.Connect with Josies Webots world and try to control two robots.Connect omnidirectional camera and see if I can grap images (extended commands supported by ePic2, not clear how to do it v2).Flash main controller and look if the real ePuck2 supports protocol v2.Recreate experiment of April 11 (connect with monitor to Webots and send images over).
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