@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00216201,
 author = {Masato, Fukui and Yoichi, Ishiwata and Takeshi, Ohkawa and Midori, Sugaya and Masato, Fukui and Yoichi, Ishiwata and Takeshi, Ohkawa and Midori, Sugaya},
 book = {Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform},
 month = {Jan},
 note = {Currently, Robot Operating System (ROS) is widely used as a framework for distributed processing in autonomous mobile robot software development. ROS uses a process as a node and communicates between nodes by publishing/subscribing asynchronously. These mechanisms make it easier for users to use an asynchronous system with multiple processes. However, in ROS, it is difficult to measure the function called by the subscriber when it returns from waiting for an event (callback function). Therefore, in this study, we triggered messages on the ROS middleware to identify the part where the node function is executed and measured the execution time. This paper presents our results on running the application and measuring the node processing time., Currently, Robot Operating System (ROS) is widely used as a framework for distributed processing in autonomous mobile robot software development. ROS uses a process as a node and communicates between nodes by publishing/subscribing asynchronously. These mechanisms make it easier for users to use an asynchronous system with multiple processes. However, in ROS, it is difficult to measure the function called by the subscriber when it returns from waiting for an event (callback function). Therefore, in this study, we triggered messages on the ROS middleware to identify the part where the node function is executed and measured the execution time. This paper presents our results on running the application and measuring the node processing time.},
 pages = {106--107},
 publisher = {情報処理学会},
 title = {Preliminary Implementation of Measurement Method for ROS1 Callback Execution Time},
 volume = {2021},
 year = {2022}
}