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Enabling a Freely Accessible Open Source Remotely Controlled Robotic Articulator with a Neuro-inspired control Algorithm

Publication Type : Journal Article

Thematic Areas : Biotech, Learning-Technologies, Medical Sciences

Publisher : International Journal of Online Engineering (iJOE), pp: 61-75.

Source : International Journal of Online Engineering (iJOE), pp: 61-75, vol 13, no 1, January, 2017, ISSN: 1861-2121

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Keywords : Cerebellum-inspired neural networks, Degrees of freedom (mechanics), Distance education, Education, Forward and inverse kinematics, Hardware and software, Inverse kinematics, Laboratories, Movement coordination, Neural networks, Online learning tools, Open Source Software, Open sources, Personnel training, Remote labs, Robotics, Self organized learning, Students, Teaching

Campus : Amritapuri

School : School of Biotechnology, Centre for Cybersecurity Systems and Networks

Center : Cyber Security, Amrita Mind Brain Center, Biotechnology, Computational Neuroscience and Neurophysiology

Department : biotechnology, cyber Security

Year : 2017

Abstract : Internet-enabled technologies for robotics education are gaining importance as online platforms facilitating and promoting skill training. Understanding the use and design of robotics is now introduced at university undergraduate levels, but in developing economies establishing usable hardware and software platforms face several challenges like cost, equipment etc. Remote labs help providing alternatives to some of the challenges. We developed an online laboratory for bioinspired robotics using a low-cost 6 degree-of-freedom robotic articulator with a neuro-inspired controller. Cerebellum-inspired neural network algorithm approximates forward and inverse kinematics for movement coordination. With over 210000 registered users, the remote lab has been perceived as an interactive online learning tool and a practice platform. Direct feedback from 60 students and 100 university teachers indicated that the remote laboratory motivated self-organized learning and was useful as teaching material to aid robotics skill education.

Cite this Research Publication : Asha Vijayan, Chaitanya Nutakki, Dhanush Kumar, Dr. Krishnashree Achuthan, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Enabling a freely accessible open source remotely controlled robotic articulator with a neuro-inspired control algorithm”, International Journal of Interactive Mobile Technologies, vol. 13, no. 1, pp. 61-75, 2017.

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