ros2 runtime_error ai_generated true

tf2.BufferCore::lookupTransform: Can't find transform from frame_a to frame_b, error: 'frame_b' passed to lookupTransform argument target_frame does not exist

ID: ros2/tf2-buffer-core-missing-transform-timeout

Also available as: JSON · Markdown · 中文
92%Fix Rate
90%Confidence
1Evidence
2023-03-10First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
Humble active — — —
Iron active — — —
Galactic active — — —

Root Cause

The target frame 'frame_b' has not been published to the tf2 tree, typically because the corresponding transform broadcaster node (e.g., robot_state_publisher or static_transform_publisher) is not running, not publishing, or the frame name is misspelled.

generic

中文

目标坐标系'frame_b'尚未发布到tf2树中，通常是因为对应的变换广播节点（如robot_state_publisher或static_transform_publisher）未运行、未发布，或坐标系名称拼写错误。

Official Documentation

https://docs.ros.org/en/rolling/Tutorials/Intermediate/Tf2/Introduction-To-Tf2.html

Workarounds

  1. 90% success Verify all frames are published: run 'ros2 run tf2_tools view_frames' or 'ros2 tf2_echo frame_a frame_b'. Check the output for missing frames. If frame_b is missing, add a static transform publisher: ros2 run tf2_ros static_transform_publisher 0 0 0 0 0 0 frame_a frame_b 
    Verify all frames are published: run 'ros2 run tf2_tools view_frames' or 'ros2 tf2_echo frame_a frame_b'. Check the output for missing frames. If frame_b is missing, add a static transform publisher: ros2 run tf2_ros static_transform_publisher 0 0 0 0 0 0 frame_a frame_b
  2. 85% success Ensure robot_state_publisher or your custom broadcaster node is running and publishing transforms. Check with 'ros2 topic echo /tf_static' and 'ros2 topic echo /tf'. If no messages, verify the node's URDF or configuration. 
    Ensure robot_state_publisher or your custom broadcaster node is running and publishing transforms. Check with 'ros2 topic echo /tf_static' and 'ros2 topic echo /tf'. If no messages, verify the node's URDF or configuration.
  3. 80% success Add a timeout and retry loop in your code: try: transform = tf_buffer.lookup_transform('frame_a', 'frame_b', rclpy.time.Time(), timeout=rclpy.duration.Duration(seconds=1.0)) except tf2.LookupException: # handle missing transform 
    Add a timeout and retry loop in your code: try: transform = tf_buffer.lookup_transform('frame_a', 'frame_b', rclpy.time.Time(), timeout=rclpy.duration.Duration(seconds=1.0)) except tf2.LookupException: # handle missing transform

中文步骤

  1. Verify all frames are published: run 'ros2 run tf2_tools view_frames' or 'ros2 tf2_echo frame_a frame_b'. Check the output for missing frames. If frame_b is missing, add a static transform publisher: ros2 run tf2_ros static_transform_publisher 0 0 0 0 0 0 frame_a frame_b
  2. Ensure robot_state_publisher or your custom broadcaster node is running and publishing transforms. Check with 'ros2 topic echo /tf_static' and 'ros2 topic echo /tf'. If no messages, verify the node's URDF or configuration.
  3. Add a timeout and retry loop in your code: try: transform = tf_buffer.lookup_transform('frame_a', 'frame_b', rclpy.time.Time(), timeout=rclpy.duration.Duration(seconds=1.0)) except tf2.LookupException: # handle missing transform

Dead Ends

Common approaches that don't work:

  1. 80% fail

    use_sim_time only synchronizes clock, not transforms. The simulation must explicitly publish transforms via robot_state_publisher or similar nodes.

  2. 95% fail

    Buffer size only affects how long transforms are stored, not whether they are published. If the frame is never broadcast, no buffer size will help.