K-MORE: Design of a Kinect Motion Oriented iRobotics Environment

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Internet and cloud-based robot services have been attractive and developed. Nowadays, how to enhance the controllability of intelligent robots is an important issue for researchers. This study designs a Kinect Motion Oriented Intelligent-Robot Environment, which is called K-MORE. K-MORE is designed for easily controlling intelligent robots, which is composed of Sensing-based Interactive Robot (SIR) service platform and Cloud Environment. K-MORE is based on open service platforms, including Arduinos, Google Android, and Google App Engine (GAE). Robots not only can be controlled by a smartphone but also can be triggered by events via GAE or Ontology Case-based Reasoning (OCBR). Furthermore, users can use a smartphone to control robots. K-MORE is well-integrated with users, intelligent robots, sensors and the cloud environment. Finally, K-MORE can be an inference model for researchers when developing a robotics-based open service platform in the future.

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401-406

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] A. Aamodt and E. Plaza, Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches, AI Communications, Vol. 7, No. 1, pp.39-59, (1991).

DOI: 10.3233/aic-1994-7104

Google Scholar

[2] C.A. Arango, J.R. Martínez, V.Z. Pérez, Master-slave System using Kinect and an Industrial Robot for Teleoperation, Proceedings of 2013 Pan American Health Care Exchanges (PAHCE), pp.1-6, (2013).

DOI: 10.1109/pahce.2013.6568284

Google Scholar

[3] D.S.O. Correa, D.F. Sciotti, M.G. Prado, D.O. Sales, D.F. Wolf, F.S. Osorio, Mobile Robots Navigation in Indoor Environments Using Kinect Sensor, Proceedings of 2012 Second Brazilian Conference on Critical Embedded Systems, pp.36-41, (2012).

DOI: 10.1109/cbsec.2012.18

Google Scholar

[4] Z. Dogmus, A. Papantoniou, M. Kilinc, S.A. Yildirim, E. Erdem, V. Patoglu, Rehabilitation Robotics Ontology on the Cloud, Proceedings of 2013 IEEE International Conference on Rehabilitation Robotics, pp.1-6, (2013).

DOI: 10.1109/icorr.2013.6650415

Google Scholar

[5] H.H. Ku and S.Y. Huang, Design of an Web 2. 0 QoS-based Digital Convergence Service Platform, Proceedings of 9th International Conference on Computing Technology and Information Management, Vol. 4, pp.255-260, (2013).

Google Scholar

[6] M. Narita, S. Okabe, Y. Kato, Y. Murakwa, K. Okabayashi, S. Kanda, Reliable Cloud-based Robot Services, Proceedings of 39th Annual Conference of the IEEE Industrial Electronics Society, pp.8317-8322, (2013).

DOI: 10.1109/iecon.2013.6700526

Google Scholar

[7] E. Ruiz, R. Acuna, N. Certad, A. Terrones, M.E. Cabrera, Development of a Control Platform for the Mobile Robot Roomba using ROS and a Kinect Sensor, Proceedings of 2013 Latin American Robotics Symposium and Competition, pp.55-60, (2013).

DOI: 10.1109/lars.2013.57

Google Scholar

[8] M. Tenorth, A.C. Perzylo, R. Lafrenz, M. Beetz, Representation and Exchange of knowledge about Actions, Objects, and Environments in the RoboEARTH Framework, IEEE Transactions on Automation Science and Engineering, Vol. 10, No. 3, pp.643-651, (2013).

DOI: 10.1109/tase.2013.2244883

Google Scholar

[9] L. Turnbull and B. Samanta, Cloud Robotics: Formation Control of a Multi Robot System Utilizing Cloud Infrastructure, Proceedings of 2013 IEEE Region 3 Technical, Professional, and Student Conference, pp.1-4, (2013).

DOI: 10.1109/secon.2013.6567422

Google Scholar

[10] G. Xing, S. Tian, H. Sun, W. Liu, H. Liu, People-following System Design for Mobile Robots Using Kinect Sensor, Proceedings of 2013 25th Chinese Control and Decision Conference, pp.3190-3194, (2013).

DOI: 10.1109/ccdc.2013.6561495

Google Scholar