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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
- 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
- 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
- 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
- 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
- Using hector slam with amcl for localization in a pre-made map
But when I run amcl and publish an already created map using map_server everything messes up because now both the hector_mapping and map_server are publishing maps
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