Learning spatial object localization from vision on a humanoid robot

International Journal of Advanced Robotic Systems

Volumn 9, Issue , 2012, Pages

  Leitner, Jürgen ^a,b,c   Harding, Simon ^a,b,d   Frank, Mikhail ^a,b,c   Förster, Alexander ^a,b,c   Schmidhuber, Jürgen ^a,b,c  

^a DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

^b UNIVERSITY OF APPLIED SCIENCES AND ARTS OF SOUTHERN SWITZERLAND   (Switzerland)

^c UNIVERSITY OF LUGANO   (Switzerland)

^d Machine Intelligence Ltd   (United Kingdom)

Author keywords

Computer Vision; Humanoid Robotics; Machine Learning; Object Localization; Spatial Perception

Indexed keywords

3D POSITIONS; ARBITRARY POSITIONS; BIOLOGICALLY INSPIRED; CALIBRATION PROCEDURE; CAMERA CALIBRATION; EXPLICIT KNOWLEDGE; HUMANOID ROBOT; HUMANOID ROBOTICS; JOINT ENCODERS; KINEMATIC MODEL; LOWER COMPLEXITY; OBJECT LOCALIZATION; POSITION ESTIMATES; ROBOT'S WORKSPACE; SPATIAL OBJECTS; SPATIAL PERCEPTION; TRADITIONAL TECHNIQUES;

ANTHROPOMORPHIC ROBOTS; CALIBRATION; CAMERAS; GENETIC PROGRAMMING; LEARNING SYSTEMS; NEURAL NETWORKS; OBJECT RECOGNITION;

COMPUTER VISION;

EID: 84871286055     PISSN: 17298806     EISSN: 17298814     Source Type: Journal    
DOI: 10.5772/54657     Document Type: Article

References (31)

1. International Federation of Robotics (2011) World Robotics Report 2011.
2. Vernon D (1991) Machine vision-Automated visual inspection and robot vision. NASA STI/Recon Technical Report A. Available: http://homepages.inf.ed. ac.uk/rbf/BOOKS/VERNON/ Accessed 2012 May 5.
3. Gordon IE (2004) Theories Of Visual Perception. Psychology Press. Hove, UK. ISBN: 9781841693835.
4. Brooks RA, Intelligence Without Representation. Artificial Intelligence. 47:139-159.
5. Muja M, Rusu RB, Bradski G, Lowe D (2011) REIN-A Fast, Robust, Scalable Recognition Infrastructure. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).
6. Hartley R, Zisserman A (2000) Multiple view geometry in computer vision (second ed.). Cambridge University Press. Cambridge, UK. .
7. Tsagarakis NG, Metta G, Sandini G, Vernon D, Beira R, Becchi F, Righetti L, Santos-Victor J, Ijspeert AJ, Carrozza MC, Caldwell DG (2007) iCub: The design and realization of an open humanoid platform for cognitive and neuroscience research. Advanced Robotics, 21:1151-1175.
8. Metta G, Natale L, Nori F, Sandini G, Vernon D, Fadiga L, von Hofsten C, Rosander K, Lopes M, Santos-Victor J, Bernardino A, Montesano L (2010) The iCub humanoid robot: An open-systems platform for research in cognitive development. Neural Networks, 23:1125-1134.
9. Traver VJ, Bernardino A (2010) A review of log-polar imaging for visual perception in robotics. Robotics and Autonomous Systems, 58:378-398.
10. Pattacini U (2011) Modular Cartesian Controller for Humanoid Robots: Design and Implementation on the iCub. PhD thesis. RBCS, Italian Institute of Technology.
11. Saponaro G, Bernardino A (2008) Pose Estimation for Grasping Preparation from Stereo Ellipses. In Proc. of the Workshop on Humanoid Robotics at CLAWAR.
12. Bongard J, Zykov V (2006) Resilient machines through continuous self-modeling. Science, 314(5802): 1118-1121.
13. D'Souza A, Vijayakumar S, Schaal S (2001) Learning inverse kinematics. In Proceedings of the IEEE/RSJ Internat'l Conference on Intelligent Robots and Systems.
14. Gloye A, Wiesel F, Tenchio O, Simon M (2005) Reinforcing the Driving Quality of Soccer Playing Robots by Anticipation. IT-Information Technology, 47 (5).
15. Hager GD, Chang WC, Morse AS (1995) Robot handeye coordination based on stereo vision. IEEE Control Systems Magazine, 15:30-39.
16. Langdon W, Nordin P (2001) Evolving hand-eye coordination for a humanoid robot with machine code genetic programming. Genetic Programming, 2038:313-324.
17. Lowe DG (1999) Object Recognition from Local Scale-Invariant Features. In Proceedings of the International Conference on Computer Vision.
18. Bay H, Tuytelaars T, Van Gool L (2006) Surf: Speeded up robust features. Computer Vision-ECCV 2006, 3951: 404-417.
19. Leitner J, Harding S, Frank M, Förster A, Schmidhuber J (2012) An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision).In Chella, A et al (eds.): Biologically Inspired Cognitive Architectures 2012. AISC (Vol. 196), pp. 205-210. Springer Berlin Heidelberg, 2013.
20. Metta G, Fitzpatrick P, Natale L (2006) YARP: Yet Another Robot Platform. International Journal of Advanced Robotics Systems, Special Issue on Software Development and Integration in Robotics, Available: http://www.intechopen.com/ journals/international-jour nal-of-Advanced-robotic-systems/yarp-yet-Another-r obot-platform
21. Bradski G (2000) The OpenCV Library. Dr. Dobb's Journal of Software Tools.
22. Harding S, Leitner J, Schmidhuber J (2012) Cartesian Genetic Programming for Image Processing. In: Genetic Programming Theory and Practice (in press)
23. Russell SJ, Norvig P (2010) Artificial Intelligence: A Modern Approach (third ed.). Prentice Hall.
24. Koza J (1992) Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press. ISBN 0-262-11170-5.
25. Poli R, Langdon WB, McPhee NF (2008) A field guide to genetic programming. ISBN 978-1-4092-0073-4. Available: http://www.gp-field-guide.org.uk
26. Schmidt M, Lipson H (2009) Distilling Free-Form Natural Laws from Experimental Data. Science, 324(5923): 1118-1121.
27. Schmidt M, Lipson H (2008) Data-mining Dynamical Systems: Automated Symbolic System Identification for Exploratory Analysis. In Proceedings of the 9th Biennial ASME Conference on Engineering Systems Design and Analysis (ESDA08).
28. Schaul T, Bayer J, Wierstra D, Yi S, Felder M, Sehnke F, Rückstieß T, Schmidhuber J (2010) PyBrain. Journal of Machine Learning Research.
29. Neuronics AG. Katana user manual and technical description.
30. Frank M, Leitner J, Stollenga M, Kaufmann G, Harding S, Förster A, Schmidhuber J (2012) The Modular Behavioral Environment for Humanoids and Other Robots (MoBeE). In Proceedings of the International Conference on Informatics in Control, Automation and Robotics (ICINCO).
31. Frank M, Förster A, Schmidhuber J (2012) Reflexive Collision Response with Virtual Skin-Roadmap Planning Meets Reinforcement Learning. In Proc. of International Conference on Agents and Artificial Intelligence.