Pick-and-Place Task Implementation Using Visual Open-Loop Control
References
- 1. Amagai A., Takase K. (2001), Implementation of dynamic manipulation with visual feedback and its application to pick and place task, Proceedings of the 2001 IEEE International Symposium on Assembly and Task Planning Assembly and Disassembly in the Twenty-first Century, 344–350.
- 2. Amini A., Banitsas K. (2019), Using Kinect v2 to Control a Laser Visual Cue System to Improve the Mobility during Freezing of Gait in Parkinson’s Disease, Journal of Healthcare Engineering, art. no. 3845462.
- 3. Bay H., Tuytelaars T., Gool L.V. (2008), Speeded-up robust features (SURF), Computer Vision and Image Understanding, 110, 346–359.
- 4. Bradski G. (2000), The OpenCV Library, Dr. Dobb’s Journal of Software Tools.
- 5. Cabre T.P., Cairol M.T., Calafell D.F., Ribes M.T., Roca J.P. (2013), Project-Based Learning Example: Controlling an Educational Robotic Arm with Computer Vision, Tecnologias del Aprendizaje, IEEE Revista Iberoamericana de, 8, 135–142.
- 6. Chaumette F., Hutchinson S. (2007), Visual Servo Control, Part II: Advanced Approaches, IEEE Robotics and Automation Magazine, 14(1), 109–118.
- 7. Collet A., Martinez M., Srinivasa S.S. (2011), The MOPED framework: object recognition and pose estimation for manipulation, The International Journal of Robotics Research, 30, 1–23.
- 8. Corke P. (2001), Robotics, Vision and Control: Fundamental Algorithms in MATLAB, Springer.
- 9. Ellekilde L.-P., Jorgensen J. A. (2010), Robwork: A flexible toolbox for robotics research and education, Proceedings of the 41st International Symposium on Robotics and 6th German Conference, 1–7.
- 10. Ellgammal A. (2005), Object Detection and Recognition, Rutgers University.
- 11. Flandin G., Chaumette F., Marchand E. (2000), Eye-in-hand/eyeto-hand co-operation for visual servoing, Proceedings of the IEEE International Conference on Robotics and Automation, 3, 2741–2746.
- 12. Grimson W. (1990), Object recognition by computer: the role of geometric constraints, MIT Press.
- 13. Hagelskjær F., Krüger N., Buch A.G. (2016), Does Vision Work Well Enough for Industry?, Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
- 14. Huang W., Xu H. (2018), Development of six-DOF welding robot with machine vision, Modern Physics Letters B, 32, 34–36.
- 15. Krivic J., Solina F. (2004), Part-level object recognition using superquadrics, Computer Vision and Image Understanding, 95, 105–126.
- 16. Kumar R., Kumar S., Lal S., Chand P. (2014), Object detection and recognition for a pick and place robot, Computer Science and Engineering 2014 Asia-Pacific World Congress, 1–7.
- 17. Lowe D.G. (2004), Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, 60, 91–110.
- 18. Nalini K.M., Gondkar R.R. (2017), Robotic recognition for unstructured 2-D parts to pick and place objects, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology, 1478–1482.
- 19. Nieuwenhuisen M., Stückler J., Berner A., Klein R., Behnke S. (2012), Shape-primitive based object recognition and grasping, Proceedings of the 7th German Conference on Robotics.
- 20. Pessoa R., Barbosa W., McLoughlin J., Kokaram A. (2018), Visual Servo Control of a Micro Quad-copter as a Teaching Platform for Engineering, 29th Irish Signals and Systems Conference, art. no. 8585355.
- 21. Saxena A., Driemeyer J., Ng A.Y. (2007), Robotic Grasping of novel Objects using Vision, The International Journal of Robotics Research, 27(2), 157–173.
- 22. Sibiryakov A. (2008), Statistical template matching under geometric transformations, Discrete Geometry for Computer Imaginary, Proceedings of the 14th IAPR International Conference, 225–237.
- 23. Steger C., Ulrich M., Wiedmann C. (2017), Machine Vision Algorithms and Applications, Wiley-VCH.
- 24. Willaume P., Parrend P., Gancel E., Deruyver A. (2016), The graph matching optimization methodology for thin object recognition in pick and place tasks, 2016 IEEE Symposium Series on Computational Intelligence, 1–8.
Language: English
Page range: 211 - 216
Submitted on: Jul 10, 2019
Accepted on: Oct 31, 2019
Published on: Nov 5, 2019
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
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© 2019 Paweł Kołosowski, Adam Wolniakowski, Mariusz Bogdan, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.