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2014-06-09 15:26:05 -0500 | asked a question | Using navigation stack without laser/point cloud Hello, I am currently using the navigation stack for simulation with a fake laser. However, I'd like to remove the laser since I plan on using data from a motion capture system. The entire area where the robot is moving can be precisely check for obstacle without the laser or a local costmap and a map (nav_msgs/occupancygrid) is generated. Every time I try to remove it one way or another, I get endless warnings of "The base_scan observation buffer has not been updated for X seconds, and it should be updated every 0.40 seconds." and "[/move_base_node]:Sensor data is out of date, we're not going to allow commanding of the base for safety", so nothing moves. Is it possible to use this stack without a laser/point cloud? |
2014-06-04 13:23:29 -0500 | commented question | vicon_bridge error Did you succeeded in correcting this problem? I have the same issue right now. |
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2014-02-21 04:27:55 -0500 | asked a question | ROS navigation stack VS OMPL I am starting to look at navigation options to use for my humanoid robot (nao) and I would like some inputs from the community on using ROS navigation VS OMPL. Both of them seem to be a good solution at the moment, but I can't find any comparison of advantages/disavantages that would help guide me to make the best choice. Suggestion on other navigation methods are also welcome. |
2014-02-14 07:18:25 -0500 | commented answer | Using IKFast with ROS Thank you Martin. I don't have much time to work on this right now to verify your proposed solutions, but it seems to be the answer I was looking for. @severin: If I succeed to implement what Martin suggested in the future, I will certainly share it with the community for others to use. |
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2014-02-12 04:49:52 -0500 | commented answer | Using IKFast with ROS Yes, I can move it in RViz. Maybe I simply misunderstood what IKFast does. I tought I could use the plugin/cpp in a ROS node to get super fast inverse kinematic for my robot by calling a function or something like that. Is it possible to use it directly form C++/python code? |
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2014-02-12 02:37:50 -0500 | commented answer | Using IKFast with ROS As I mentionned in my question, I already did the IKFast/MoveIt setup, although I used nao_description urdf and MoveIt setup assisstant instead of the nao_moveit_config you pointed me. I also generated the IKFast plugin/cpp, but I don't know what to do with it. However I skipped parts of the MoveIt tutorials. |
2014-02-11 08:28:38 -0500 | commented question | Using IKFast with ROS I am using Hydro. I wasn't planning on using any of these at the time I posted the question, but now I also want to use OMPL. In this case, I'd like to use both with MoveIt and not arm_navigation. |
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2014-02-07 03:57:47 -0500 | asked a question | Using IKFast with ROS I am trying to do exactly as this other question, which is moving the nao arms using cartesian coordinates. I did follow AHormung answer and setup IKFast with MoveIt for both my nao's arms. My problem is, how do I use the resulting plugin/cpp generated with IKFast with ROS? In the previous question, he suggested to "feed the results into the nao_controller node, probably with some lightweight conversion of messages.", but I am not sure of what it clearly means. |
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2014-01-22 05:11:46 -0500 | commented answer | Cannot launch nao_driver I solved the symbol problem following this answer: http://answers.ros.org/question/120541/problem-of-running-rosrun-turtlesim-turtlesim_node/. |
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2014-01-22 04:46:35 -0500 | commented answer | Cannot launch nao_driver Since I just started with ROS + Nao + Ubuntu, I wouldn't really know what other nodes to try for verification. I am mostly following tutorials at the moment. I don't remember changing anything in this directory. |
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2014-01-22 04:17:23 -0500 | edited question | Cannot launch nao_driver [Go to Edit2 for the current error] Hello, I am trying to launch nao_driver with the command: or but i get the following errors. Any help would be greatly appreciated. Edit: Thank you AHornung, that seems to help a little. The errors has changed, but are still similar to what they were. (more) |