Irodalmi hivatkozások

[1] Az OpnRDK robot fejlesztői API, rendszer hivatalos információs oldala.

[2] Calisi, Daniele, Censi, Andrea, Iocchi, Luca, és Nardi, Daniele. Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on. . OpenRDK: a modular framework for robotic software development. 2008.

[3] YARP robot middleware hivatalos honlapja.

[4] OpenRTM-aist robot middleware hivatalos weboladal.

[5] Ando, Noriaki, Suehiro, Takashi, Kitagaki, Kosei, Kotoku, Tetsuo, és Yoon, Woo-Keun. Intelligent Robots and Systems, 2005.(IROS 2005). 2005 IEEE/RSJ International Conference on. . RT-middleware: distributed component middleware for RT (robot technology). 2005. Intelligent Robots and Systems, 2005.(IROS 2005). 2005 IEEE/RSJ International Conference on.

[6] Ando, Noriaki, Suehiro, Takashi, és Kotoku, Tetsuo. Springer. Simulation, Modeling, and Programming for Autonomous Robots. . A software platform for component based rt-system development: Openrtm-aist. 2008.

[7] Ando, Noriaki, Kurihara, Shinji, Biggs, Geoffrey, Sakamoto, Takeshi, Nakamoto, Hiroyuki, és Kotoku, Tetsuo. Software deployment infrastructure for component based rt-systems. 23. 3. 2011. Journal of Robotics and Mechatronics.

[8] ROS (robor operációs rendszer) hiovatalos információs oldala.

[9] Quigley, Morgan, Conley, Ken, Gerkey, Brian, Faust, Josh, Foote, Tully, Leibs, Jeremy, Wheeler, Rob, és Ng, Andrew. ICRA workshop on open source software. . ROS: an open-source Robot Operating System. 2009.

[10] Domada, M. Ishde, K. Ohnishi, and T. Hori. Disturbance observer-based motion control of dlrect drive motors. 6. 3. 553-559. 1991. IEEE Transactions on Energy Conversion.

[11] Iwasaki, M.; Shibata, T.; Matsui, N.. Disturbance-observer-based nonlinear friction compensation in table drive system . 4. 1. 3-8. 1999. IEEE/ASME Transactions on Mechatronics.

[12] ObserverLi, W.; Hori, Y.. Vibration Suppression Using Single Neuron-Based PI Fuzzy Controller and Fractional. 54. 1. 117 – 126. 2007. Order Disturbance IEEE Transactions on Industrial Electronics.

[13] Tomita, M.; Senjyu, T.; Doki, S.; Okuma, S.. New sensorless control for brushless DC motors using disturbance observers and adaptive velocity estimations. 45. 2. 274 - 282. 1998. IEEE Transactions on Industrial Electronics.

[14] Radke, A.; Gao, Zhiqiang. American Control Conference June 2006 Page(s):6, 14. . A survey of state and disturbance observers for practitioners . 2006.

[15] Katsura, S.; Matsumoto, Y.; Ohnishi, K.. Modeling of Force Sensing and Validation of Disturbance Observer for Force Control . 54. 1. 530 – 538. 2007. IEEE Transactions on Industrial Electronics.

[16] McCann, R.A.; Islam, M.S.; Husain, I. Application of a sliding-mode observer for position and speed estimation in switched reluctance motor drives.;. 37. 1. 51 – 58. 2001. IEEE Transactions on Industry Applications.

[17] (METI), Ministry of Economics and Trade. (METI). http://www.meti.go.jp/press/20100423003/20100423003-2.pdf. 2035nen ni muketa robotto sangyou no shourai shijou yosoku (Market forecast of robot industry in 2035). 2010.

[18] T. Thomessen, P. K. Sannæs, and T. K. Lien. 35th International Symposium on Robotics. . Intuitive Robot Programming. 2004.