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Robot localization with AMCL and EKF - Robotics Stack Exchange AMCL is a global localization algorithm in the sense that it fuses LIDAR scan matching with a source of odometry to provide an estimate of the robot's pose w r t a global map reference frame
AMCL: No laser scan received - Robotics Stack Exchange Hello everyone! After generating a map with a SLAM, I wanted to localize my robot in this map For that purpose I want to use AMCL package But I keep getting the same error: [ WARN] [1560764535
Using robot_localization with amcl - Robotics Stack Exchange Or is there any better way to deal with it? If I give output of AMCL and UWB to second instance of ekf_localization_node, it will give me the required transformation (map_frame -> odom_frame) and will publish the output odometry message on odometry filtered topic but I am using which expects robot pose on amcl_pose topic
ros - AMCL odom_alpha parameters - Robotics Stack Exchange Record the sensors and the odometry and watch what's happening in rviz playing the bag with amcl running Closely look at what happens to your PoseArray and see where and how the robot gets lost If there is a displacement when the robot turns, it's odom_alpha4 etc
What difference between SLAM locating and AMCL locating SLAM can analysis the environment and locating iteself And AMCL can locate itself with saved map What difference between the two locating method of SLAM and AMCL? Because SLAM can locate, the AMC
AMCL: cannot match well, jumps crazily - Robotics Stack Exchange Comment by on 2017-03-11: Jumps are often caused by amcl, maybe run "rosrun tf tf_echo" on both transforms to see which transform is actually jumping Comment by on 2017-03-11: @Humpelstilzchen I have make sure that its caused by amcl dismatch I have uploaded a picture in my question I dont know why amcl cannot match laser Comment by on 2017-03-12: Looks like you need some amcl tuning This
ros - Using gmapping with amcl - Robotics Stack Exchange I am using gmapping to send a map to the amcl via the map topic This all works as long as I remap the tf topic in the amcl node to some other topic If not then the base_foot print and the lazer s
navigation - problem with robot localization using amcl - Robotics . . . Then , I have amcl for localization and move_base is doing the planning I am able to start everything smoothly and give the goal through RVIZ and the tf tree looks correct: After I give the goal, robot starts moving towards it and on the way, its localization gets messed up
ros - amcl estimation quality - Robotics Stack Exchange I would like to know how much to trust the amcl output pose One thought is to see how well the laser data correlates with obstacles in the cost map, another is to calculate the variance of the pa