1 / 25

NEW TRENDS IN EDUCATION OF ROBOTICS

Gyula Mester. NEW TRENDS IN EDUCATION OF ROBOTICS. Óbuda University, Doctoral School of Safety and Security Sciences , Budapest, Hungary drmestergyula@gmail.com. 1. INTRODUCTION. Recently, the requirement for learning is constantly increasing.

poyler
Download Presentation

NEW TRENDS IN EDUCATION OF ROBOTICS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Gyula Mester NEW TRENDS IN EDUCATION OF ROBOTICS Óbuda University, Doctoral School of Safety and Security Sciences, Budapest, Hungary drmestergyula@gmail.com

  2. 1. INTRODUCTION Recently, the requirement for learning is constantly increasing. MOOC – massive open online course represent educational revolution of the century.

  3. A MOOC is an online course accessible to unlimited number of participation and is an open access via the web. Mayor participants in the MOOCs are: Coursera, Stanford, since 2012, with 17,180,422 students•1,754 courses,•147 partners, [1]. Udacity, Stanford, since 2012, [2]. edX, Harvard, MIT, Berkeley, since 2012, [3].

  4. The paper is organized as follows: In Section 1, the Introduction is given. In Section 2, the MOOC Introduction for Robotics is considered. In Section 3, the MOOC Robotics Vision is considered. Conclusions are given in Section 4.

  5. 2. INTRODUCTION FOR ROBOTICS This course [4] contains an introduction to the exciting world of robotics and the necessary mathematics and algorithms. You will develop an understanding of the representation of pose and motion, kinematics, dynamics and control [5-17] of robot.

  6. You will also be introduced to the variety of robots and the diversity of tasks to which this knowledge and skills can be applied, the role of robots in society, but also associated ethical issues.

  7. If you have access to a: LEGO Mindstorms robotics development kit you will be able to build a simple robot arm and write the control software for it.

  8. Course structure The course content will be released weekly. Lecture 1: Introduction to robotics Lecture 2: Where things are in 2D Lecture 3: Where things are in 3D Lecture 4: Time varying coordinate frames Lecture 5: Measuring the motion of things Lecture 6: Robot arms and forward kinematics

  9. Lecture 7: Inverse kinematics and robot motion Lecture 8: Robot velocity in 2D Lecture 9: Robot velocity in 3D Lecture 10: Robot joint control Lecture 11: Rigid body dynamics Lecture 12: Robots and the future

  10. This course combined with the: Robotic Vision MOOC. Course author: Professor Peter Corke, Queensland University of Technology, Brisbane, Australia

  11. Picture 1. Introduction to Robotics

  12. Picture 2. Introduction to Robotics MOOC

  13. 3. ROBOTIC VISION Robotic vision introduces you to the field of computer vision and the corresponding mathematics and algorithms [18].

  14. We would learn how to interpret images and how to determine the color, size, shape and position of objects in the space. It gives us a possibility to build an intelligent vision system that can recognise objects of different colors and shapes.

  15. This course and the Introduction to robotics MOOC are based on a 13 weeks lasting undergraduate course Introduction to robotics. Course author: Professor Peter Corke.

  16. Picture 3. Robotics Vision MOOC

  17. By the end of this course you should be able to: - describe and explain what robots are and what they can do, - describe mathematically the position and orientation of objects and how they move, - describe mathematically the relationship between robot joint coordinates and tool pose, - reflect on the future role and development of robots in human society,

  18. - compute the rigid-body forces in a robot and design a joint control system (optional advanced material), - apply the mathematical, algorithmic and control principles of robot arm manipulators to implement a working robot through physical construction and software development (applies to optional project).

  19. 4. CONCLUSIONS In this paper new trends – MOOC - in education of robotics are considered. MOOC – massive open online learning courses represent educational revolution of the century. A MOOC is an online course accessible to unlimited number of participats and is an open access via the web.

  20. Mayor participants in the MOOCs are: Coursera, Udacity (Stanford, since 2012) and edX (Harvard, MIT, since 2012). In this paper two MOOCs are considered: Introduction to Robotics and Robotics Vision, both from the Queensland University of Technology, Brisbane, Australia

  21. 5. REFERENCES [1] https://www.coursera.org, Take the world's best courses, online. [2] https://www.udacity.com, Get Hired. Guaranteed! [3] https://www.edx.org, Learn from the best. Anytime. Anywhere. [4] https://moocs.qut.edu.au/learn/introduction-to-robotics-august-2015 [5] Gyula Mester, Distance Learning in Robotics, Proceedings of The Third International Conference on Informatics, Educational Technology and New Media in Education, pp. 239-245, ISBN 86-83097-51-X, Sombor, Serbia 2006. [6] Gyula Mester, Intelligent Mobile Robot Controller Design, Proceedings of the 10th Intelligent Engineering Systems, INES 2006, pp. 282-286, ISBN:0-7803-9708-8, DOI:10.1109/INES.2006.1689384, Metropolitan University, London, United Kingdom, June 26-28, 2006.

  22. [7] Gyula Mester, Introduction to Control of Mobile Robots, Proceedings of the YUINFO’2006, pp. 1-4, ISBN 86-85525-01-2, Kopaonik, Serbia & Montenegro, 2006. [8] Gyula Mester, Modeling of the Control Strategies of Wheeled Mobile Robots, Proceedings of The Kandó Conference 2006, pp. 1-3, ISBN 963-7154-42-6, Budapest, Hungary, 2006. [9] Gyula Mester, Improving the Mobile Robot Control in Unknown Environments, Proceedings of the YUINFO’2007, pp. 1-5, ISBN 978-86-85525-02-5, Kopaonik, Serbia, 11-14.03.2007. [10] Gyula Mester, Adaptive Force and Position Control of Rigid Link Flexible- Joint Scara Robots, Proceedings of the International Conference on Industrial Electronics, Control and Instrumentation, 20th Annual Conference of the IEEE Industrial Electronics Society IECON'94, Vol. 3, pp. 1639-1644, DOI: 10.1109/IECON.1994.398059, Bologna, Italy, September 1994.

  23. [11] Aleksandar Rodic, Gyula Mester, Virtual WRSN – Modeling and Simulation of Wireless Robot-Sensor Networked Systems. Proceedings of the 8th IEEE International Symposium on Intelligent Systems and Informatics, SISY 2010, pp. 115-120, DOI: 10.1109/SISY.2010.5647245, ISBN: 978-1-4244-7394-6, Subotica, Serbia, 2010. [12] Aleksandar Rodic, Dusko Katic, Gyula Mester, Ambient Intelligent Robot-Sensor Networks for Environmental Surveillance and Remote Sensing, Proceedings of the IEEE SISY 2009, pp. 28-33, IEEE Catalog Number: CFP0984C-CDR, ISBN: 978-1-4244-5349-8, Library of Congress: 2009909575, DOI 10.1109/SISY.2009. 5291141, Subotica, Serbia, Sept. 25-26, 2009.

  24. [13] Aleksandar Rodic, Milos Jovanovic, Svemir Popic, Gyula Mester, Scalable Experimental Platform for Research, Development and Testing of Networked Robotic Systems in Informationally Structured Environments, Proceedings of the IEEE SSCI 2011, Symposium Series on Computional Intelligence, Workshop on Robotic Intelligence in Informationally Structured Space, pp. 136-143, ISBN: 978-1-4244-9885-7, DOI: 10.1109/RIISS.2011.5945779, Paris, France, 2011. [14] Gyula Mester, Intelligent Mobile Robot Motion Control in Unstructured Environments, Acta Polytechnica Hungarica, Journal of Applied Sciences, Vol. 7, Issue No. 4, ISSN 1785-8860, pp. 153-165, Budapest, Hungary, 2010.

  25. [15] Aleksandar Rodic, Gyula Mester, Sensor-based Navigation and Integrated Control of Ambient Intelligent Wheeled Robots with Tire-Ground Interaction Uncertainties, Acta Polytechnica Hungarica, Journal of Applied Sciences, Vol. 10, No. 3, pp. 113-133, ISSN 1785-8860, DOI:10.12700/APH.10.03. 2013.3.9, Budapest, Hungary, 2013. [16] Gyula Mester, Intelligent Mobil Robot Control in Unknown Environments, Intelligent Engineering Systems and Computational Cybernetics, Part I Intelligent Robotics, pp. 15-26, ISBN 978-1-4020-8677-9, Library of Congress: 2008934137, DOI 10.1007/978-1-4020-8678-6_2, Springer, 2009. [17] Gyula Mester, Aleksandar Rodic, Autonomous Locomotion of Humanoid Robots in Presence of Mobile and Immobile Obstacles, Studies in Computational Intelligence, Towards Intelligent Engineering and Information Technology, Part III Robotics, Volume 243/2009, pp. 279-293, ISBN 978-3-642-03736-8, Library of Congress: 2009933683, DOI 10.1007/978-3-642-03737-5, Springer, 2009. [18] https://moocs.qut.edu.au/learn/robotic-vision-october-2015

More Related