Proceedings of the IEEE, 71(7):821–841, 1983 [2] B

(1)

Bibliography

[1] T. Lozano-Perez. Robot programming. Proceedings of the IEEE, 71(7):821–841, 1983

[2] B. Dufay and J.-C. Latombe. An approach to automatic robot programming based on inductive learning. The International Journal of Robotics Research, 3(4):3–20, 1984

[3] A. Levas and M. Selfridge. A user-friendly high-level robot teaching system. In Proceeding of the IEEE International Conference on Robotics, pages 413–416, March 1984

[4] A.B. Segre and G. DeJong. Explanation-based manipulator learning: Ac- quisition of planning ability through observation. In IEEE Conference on Robotics and Automation (ICRA), pages 555–560, March 1985

[5] A.M Segre. Machine learning of robot assembly plans. Kluwer Academic Publishers, Boston, MA, USA, 1988

[6] S. Muench, J. Kreuziger, M. Kaiser, R. Dillmann: Robot Programming by Demonstration (RPD) - Using Machine Learning and User Interac- tion Methods for the Development of Easy and Comfortable Robot Pro- gramming Systems, Proc. International Symposium on Industrial Robots (ISIR) (1994) pp. 685–693

[7] G. Rizzolatti, L. Fogassi, and V. Gallese. Neurophysiological mechanisms underlying the understanding and imitation of action. Nature Reviews Neuroscience, 2:661–670, 2001

[8] M. Iacoboni, R.P. Woods, M. Brass, H. Bekkering, J.C. Mazziotta, and G Rizzolatti. Cortical mechanisms of human imitation. Science, 286:2526–2528, 1999

(2)

[9] E. Oztop, M. Kawato, and M.A. Arbib. Mirror neurons and imitation:

A computationally guided review. Neural Networks, 19(3):254–21, 2006 [10] G.E. Hovland, P. Sikka, and B.J. McCarragher. Skill acquisition from hu-

man demonstration using a hidden Markov model. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 2706–2711, 1996

[11] K. Ogawara, J. Takamatsu, H. Kimura, and K. Ikeuchi. Extraction of essential interactions through multiple observations of human demonstrations. IEEE Transactions on Industrial Electronics, 50(4):667–675, 2003

[12] S. Calinon, F. Guenter, and A. Billard. On learning, representing and generalizing a task in a humanoid robot. IEEE Transactions on Systems, Man and Cybernetics, Part B. Special issue on robot learning by observation, demonstration and imitation, 37(2):286–298, 2007

[13] C.G. Atkeson. Using local models to control movement. In Advances in Neural Information Processing Systems (NIPS), volume 2, pages 316–323, 1990

[14] C.G. Atkeson, A.W. Moore, and S. Schaal. Locally weighted learning for control. Artificial Intelligence Review, 11(1-5):75–113, 1997

[15] A.W. Moore. Fast, robust adaptive control by learning only forward models. In Advances in Neural Information Processing Systems (NIPS), volume 4, San Francisco, CA, USA, 1992. Morgan Kaufmann

[16] S. Schaal and C.G. Atkeson. Constructive incremental learning from only local information. Neural Computation, 10(8):2047–2084, 1998 [17] S. Vijayakumar, A. D’souza, and S. Schaal. Incremental online learning

in high dimensions. Neural Computation, 17(12):2602–2634, 2005 [18] Y. Sato, K. Bernardin, H. Kimura, and K. Ikeuchi. Task analysis

based on observing hands and objects by vision. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1208–1213, 2002

(3)

[19] R. Zoellner, M. Pardowitz, S. Knoop, and R. Dillmann. Towards cogni- tive robots: Building hierarchical task representations of manipulations from human demonstration. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 1535–1540, 2005 [20] R. Dillmann. Teaching and learning of robot tasks via observation of human performance. Robotics and Autonomous Systems, 47(2-3):109–116, 2004

[21] B. Scassellati. Imitation and mechanisms of joint attention: A develop- mental structure for building social skills on a humanoid robot. Lecture Notes in Computer Science, 1562:176–195, 1999

[22] H. Kozima and H. Yano. A robot that learns to communicate with human caregivers. In Proceedings of the International Workshop on Epigenetic Robotics, September 2001

[23] H. Ishiguro, T. Ono, M. Imai, and T. Kanda. Development of an inter- active humanoid robot robovie - An interdisciplinary approach. Robotics Research, 6:179–191, 2003

[24] K. Nickel and R. Stiefelhagen. Pointing gesture recognition based on 3D- tracking of face, hands and head orientation. In Proceedings of the in ternational conference on Multimodal interfaces (ICMI), pages 140–146, 2003

[25] P.F. Dominey, M. Alvarez, B. Gao, M. Jeambrun, A. Cheylus, A.

Weitzenfeld, A. Martinez, and A. Medrano. Robot command, interro- gation and teaching via social interaction. In Proceedings of the IEEE- RAS International Conference on Humanoid Robots (Humanoids), pages 475–480, De- cember 2005

[26] M. Pardowitz, R. Zoellner, S. Knoop, and R. Dillmann. Incremental learning of tasks from user demonstrations, past experiences and vocal comments. IEEE Transactions on Systems, Man and Cybernetics, Part B. Special issue on robot learning by observation, demonstration and imitation, 37(2):322–332, 2007

[27] A.L. Thomaz, M. Berlin, and C. Breazeal. Robot science meets social science: An embodied computational model of social referencing. In Work-

(4)

shop Toward Social Mechanisms of Android Science (CogSci), pages 7–17, July 2005

[28] C. Breazeal and L. Aryananda. Recognition of affective communicative intent in robot-directed speech. Autonomous Robots, 12(1):83–104, 2002 [29] S. Calinon, F. Guenter and A. Billard, Goal-Directed Imitation in a Humanoid Robot, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), p. 299–304, 2005

[30] S. Calinon and A. Billard, Learning of Gestures by Imitation in a Hu- manoid Robot, Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions, p. 153- 177, Cambridge University Press, 2007

[31] M. Beetz, M. Tenorth, D. Jain, and J. Bandouch. Towards Automated Models of Activities of Daily Life, Technology and Disability, IOS Pres, 22, 2010

[32] ROS, an introduction, http://www.ros.org/wiki/ROS/Introduction [33] B.P. Gerkey, R.T. Vaughan, A. Howard: The Player/Stage Project:

Tools for Multi-Robot and Distributed Sensor Systems, Proceedings of the International Conference on Advanced Robotics (ICAR 2003) pages 317-323, Coimbra, Portugal, June 30 - July 3, 2003

[34] G. Metta, P. Fitzpatrick, L. Natale: YARP: Yet Another Robot Plat- form, International Journal of Advanced Robotic Systems, Vol.3, No.1 (2006)

[35] H. Bruyninckx: Open robot control software: the OROCOS project, Robotics and Automation, 2001. Proceedings (2001 ICRA) pages: 2523 - 2528

[36] M. Montemerlo, N. Roy, S. Thrun: Perspectives on standardization in mobile robot programming: the Carnegie Mellon Navigation (CARMEN) Toolkit, Intelligent Robots and Systems, 2003. (IROS 2003) pages: 2436 - 2441

[37] A. Brooks, T. Kaupp, A. Makarenko, S. Williams, A. Oreb¨ack: Orca:

A Component Model and Repository, Springer Tracts in Advanced Robotics (2007) Volume 30/2007, pages 231-251

(5)

[38] M. R. Benjamin, J. J. Leonard,H. Schmidt, P.M. Newman: A Tour of MOOS-IvP Autonomy Software Modules, MIT-CSAIL-TR-2009-006 [39] J. Jackson: Microsoft robotics studio: A technical introduction, Robotics

& Automation Magazine, IEEE (2007) Volume: 14 pages: 82 - 87 [40] Willow Garage, www.willowgarage.com

[41] M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, E. Berger, R. Wheeler, A. Ng: ROS: an open-source Robot Operating System, ICRA Workshop on Open Source Software, 2009

[42] ROS Mailing Lists, http://www.ros.org/wiki/Mailing Lists [43] ROS Answer, http://answers.ros.org/

[44] Willow garage blog, http://www.willowgarage.com/blog [45] PrimeSense, http://www.primesense.com/

[46] R. Mitchell, PrimeSense releases open source drivers, middleware for Kinect, Joystiq, Retrieved December 11, 2010, http://www.joystiq.com/2010/12/10/primesense-releases-open-source- drivers-middleware-for-kinect/

[47] J. Wortham, With Kinect Controller, Hackers Take Liber- ties, The New York Times, Retrieved November 25, 2010, http://www.nytimes.com/2010/11/22/technology/22hack.html? r=1 [48] V. Savov, Kinect finally fulfills its Minority Report des-

tiny (video), Engadget, Retrieved December 9, 2010, http://www.engadget.com/2010/12/09/kinect-finally-fulfills-its-

minority-report-destiny-video/

[49] Minnesota University Team Adapts Kinect for Medical Use, Softpedia, Retrieved May 23, 2011, http://news.softpedia.com/news/Minnesota- University-Team-Adapts-Kinect-for-Medical-Use-189553.shtml

[50] Medical practice finds use for Kinect hack, QuickJump Gaming Network, Retrieved May 23, 2011, http://www.qj.net/qjnet/xbox-360/medical- practice-finds-use-for-kinect-hack.html

(6)

[51] Doctors use Xbox Kinect in cancer surgery, CHealth, Retrieved May 23, 2011, http://chealth.canoe.ca/channel health news details.asp?

news id=31715&news channel id=12&channel id=12 [52] openni kinect, http://www.ros.org/wiki/openni kinect [53] OpenNI, http://www.openni.org/

[54] Nodelet, http://www.ros.org/wiki/nodelet [55] Nite, http://www.ros.org/wiki/nite

[56] KUKA youBot Store, http://youbot-store.com/

[57] openni camera, http://www.ros.org/wiki/openni camera [58] openni tracker, http://www.ros.org/wiki/openni tracker [59] kinect aux, http://www.ros.org/wiki/kinect aux

[60] ar kinect, http://www.ros.org/wiki/ar kinect

[61] ARToolKit, http://www.hitl.washington.edu/artoolkit/

[62] household objects database, http://www.ros.org/wiki/household objects database

[63] tabletop object detector, http://www.ros.org/wiki/tabletop object detector

[64] M.A. Fischler and R.C. Bolles, Random sample consensus: A paradigm for model fitting with applications to image analysis and automated car- tography, Communications of the ACM, 24(6):381–395, 1981

[65] Paul J. Besl, Neil D. McKay, A Method for Registration of 3-D Shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol- ume 14 Issue 2, February 1992

[66] pocketsphinx, http://www.ros.org/wiki/pocketsphinx [67] CMU Sphinx, http://cmusphinx.sourceforge.net/

[68] Sphinx Knowledge Base Tool, http://www.speech.cs.cmu.edu/tools/ lm- tool.html

(7)

[69] sound play, http://www.ros.org/wiki/sound play