Motion generation interface of ROS to PODO software framework for wheeled humanoid robot

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dc.contributor.authorLee, Moonyoungko
dc.contributor.authorHeo, Yujinko
dc.contributor.authorCho, Saihimko
dc.contributor.authorPark, Hyunsubko
dc.contributor.authorOh, Jun-Hoko
dc.date.accessioned2023-07-05T05:00:14Z-
dc.date.available2023-07-05T05:00:14Z-
dc.date.created2023-06-08-
dc.date.created2023-06-08-
dc.date.issued2019-12-
dc.identifier.citation19th International Conference on Advanced Robotics, ICAR 2019, pp.456 - 461-
dc.identifier.urihttp://hdl.handle.net/10203/310308-
dc.description.abstractThis paper discusses the development of robot motion generation interface between a real-time software architecture and a non-real-time robot operating system. In order for robots to execute intelligent manipulation or navigation, close integration of high-level perception and low-level control is required. However, many available open-source perception modules are developed in ROS, which operates on Linux OS that don't guarantee RT performance. This can lead to non-deterministic responses and stability problems that can adversely affect robot control. As a result, many robotic systems devote RTOS for low-level motion control. Similarly, the humanoid robot platform developed at KAIST, Hubo, utilizes a custom real-time software framework called PODO. Although PODO provides easy interface for motion generation, it lacks interface to high-level frameworks such as ROS. As such, we present a new motion generation interface between ROS and PODO that enables users to generate motion trajectories through standard ROS messages while leveraging a real-time motion controller. With the proposed communication interface, we demonstrate series of manipulator tasks on the actual wheeled humanoid platform, M-Hubo. The overall communication interface responsiveness was at most 27 milliseconds.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleMotion generation interface of ROS to PODO software framework for wheeled humanoid robot-
dc.typeConference-
dc.identifier.wosid000542960700071-
dc.identifier.scopusid2-s2.0-85083083716-
dc.type.rimsCONF-
dc.citation.beginningpage456-
dc.citation.endingpage461-
dc.citation.publicationname19th International Conference on Advanced Robotics, ICAR 2019-
dc.identifier.conferencecountryBL-
dc.identifier.conferencelocationBelo Horizonte-
dc.identifier.doi10.1109/ICAR46387.2019.8981593-
dc.contributor.localauthorOh, Jun-Ho-
dc.contributor.nonIdAuthorLee, Moonyoung-
dc.contributor.nonIdAuthorHeo, Yujin-
dc.contributor.nonIdAuthorCho, Saihim-
dc.contributor.nonIdAuthorPark, Hyunsub-
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